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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
English, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- Supervising quality of all content (Candidate and HR).
- Ensuring all content align to high standards.
- Vertical Media Management.
- Vertical Videos and Office Highlights.
- Vertical Video Podcasts for EB clients, with clients' HR personnel..
- Transforming traditional content into engaging vertical formats for our mobile-first audiences.
- Written Content Oversight.
- Supervising writing content articles for all our EB clients (articles, Office Highlights etc.).
- Crafting compelling narratives that showcase company cultures and employee experiences.
- Podcast Management.
- Executing creation of HR related WorkVenture Podcasts.
- To demonstrate our expertise in Employer Branding and to enable showcase for our clients..
- Executing creation of Candidate Related Podcasts.
- Building thought leadership through authentic conversations about workplace trends.
- Social Media Content Development.
- Finding new ideas and producing candidate & B2B HR content.
- Maintaining our TikTok, Facebook, and LinkedIn presence.
- Creating vertical and horizontal format content.
- Staying ahead of social media trends to keep the content fresh and engaging.
- Creativity.
- Exceptional creative thinking and innovative approach to content.
- Ability to generate fresh ideas that capture audience attention.
- Talent for visual storytelling across different media formats.
- Organizational Skills.
- Outstanding project management abilities to handle multiple content streams.
- Excellence in planning, prioritizing, and meeting deadlines.
- Additional Requirements.
- Experience in content creation & management (2+ years preferred).
- Proficiency with digital content creation tools.
- Strong communication and team collaboration skills.
- Ability to adapt quickly to changing trends and audience preferences.
āļāļąāļāļĐāļ°:
Software Development, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- An empowered environment where you can shape your role, make a direct impact on our products, and help build our culture.
- The opportunity to work on groundbreaking AI-driven features for a leading SuperApp.
- A "Work as One" team spirit with the stability and backing of a major industry leader.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience in product management, preferably with experience leading or mentoring other product owners.
- Strong analytical skills with the ability to analyze data, define success metrics, and drive data-informed decisions..
- Experience conducting business analysis and translating stakeholder needs into actionable requirements..
- Excellent communication and interpersonal skills, able to engage effectively with both technical and non-technical stakeholders..
- Solid understanding of Agile software development processes. Technical skills are a strong plus..
- Experience with AI products or in the technology industry is a plus.
- Fluency in both Thai and English is required.
- Are You The One?.
- If you're excited to be part of something groundbreaking, thrive in a fast-paced environment where you can test and learn, and believe you fit the bill, let's join forces. Please help us build the next big thing in SaaS at XPONENTIAL.
āļāļąāļāļĐāļ°:
Power BI, Tableau, Statistics
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Identify valuable data sources and automate data collection processes.
- Undertake preprocessing and transformation of structured and unstructured data.
- Analyze large datasets to discover meaningful trends, patterns, and business insights.
- Build and deploy predictive models, machine learning algorithms, and NLP models (classification, clustering, topic modeling, sentiment analysis).
- Combine models through ensemble techniques to improve accuracy.
- Design and maintain end-to-end data pipelines and migrate workflows to cloud platforms (e.g., Databricks, BigQuery, PySpark).
- Develop and maintain dashboards (Power BI, Looker, Tableau) to communicate insights effectively.
- Collaborate with cross-functional teams including product, engineering, and business stakeholders to align data solutions with business needs.
- Propose solutions and strategies to address complex business challenges.
- QualificationsBachelor s or Master's degree in Data Science, Statistics, or related field.
- Proven experience as a Data Scientist or Data Analyst, with demonstrated success in building and deploying data-driven solutions.
- Strong proficiency in Python, SQL, PySpark; experience with big data platforms (Databricks, BigQuery, Redshift, Hadoop).
- Solid understanding of machine learning and deep learning frameworks.
- Experience in data mining, feature engineering, and statistical modeling.
- Strong math and statistical skills; analytical mindset with problem-solving aptitude.
- Excellent communication and presentation skills to engage with both technical and non-technical stakeholders.
- (Preferred) Experience with stream processing, NLP, and scalable big data stores.
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN: (https://krungsri.com/b/privacynoticeen).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ: (https://krungsri.com/b/privacynoticeth).
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
āļāļąāļāļĐāļ°:
Good Communication Skills, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļŠāļāļēāļāļāļĩāđāļāļāļīāļāļąāļāļīāļāļēāļ āļŠāļģāļāļąāļāļāļēāļāļāļļāļĢāļāļīāļāļ§āļāļĻāđāļŠāļ§āđāļēāļ
- āļāļđāđāļĨāļ§āļāđāļāļīāļāļŠāļīāļāđāļāļ·āđāļ 20-100 āļĨāđāļēāļāļāļēāļ.
- āļāļģāļŦāļāļāđāļāļāļāļēāļĢāļāļĨāļēāļ āļŠāļĢāđāļēāļāļāļ§āļēāļĄāļŠāļąāļĄāļāļąāļāļāđ āđāļāļīāđāļĄāļ§āļāđāļāļīāļāļŠāļīāļāđāļāļ·āđāļāđāļĨāļ°āļāļēāļĒāļāļĨāļīāļāļ āļąāļāļāđāļāļ·āđāļāđ āļāļāļāļāļāļēāļāļēāļĢ
- āđāļŠāļ§āļāļŦāļēāļĨāļđāļāļāđāļēāļĢāļēāļĒāđāļŦāļĄāđāļāļēāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāđāļēāļāļāļēāļĢāļāļĨāļēāļ āđāļāļ·āđāļāļāļĒāļēāļĒāļāļēāļāļĨāļđāļāļāđāļēāļŠāļīāļāđāļāļ·āđāļ
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļĨāļđāļāļāđāļē āđāļāļ·āđāļāļĄāļāļāļŦāļēāļāđāļāļāļāļēāļāļāļēāļĢāļāļģāļāļĨāļēāļ āđāļĨāļ°āđāļāļīāđāļĄāļāļēāļāļĨāļđāļāļāđāļēāđāļŦāļĄāđ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļāđāļēāļāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļāļēāļĢāļāļąāļāļāļĩ āļāļēāļĢāđāļāļīāļ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ
- āļĄāļĩāļāļąāļāļĐāļ°āļāđāļēāļāļāļēāļĢāļāļĨāļēāļ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļāļĨāļĒāļļāļāļāđ āļāļēāļĢāđāļāļĢāļāļēāļāđāļāļĢāļāļ āđāļĨāļ°āļāļēāļĢāļāļģāđāļŠāļāļ
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāļāļļāļĢāļāļīāļ
- āļŦāļēāļāļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ..
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ ".
āļāļąāļāļĐāļ°:
Statistics, Big Data, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
- Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
- Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
- Machine Learning & AI.
- Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
- Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
- Problem-Solving & Collaboration.
- Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
- Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
- Technical Expertise.
- Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
- Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
- Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
- Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
- Education & Experience.
- Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
- Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Partner with business and commercial teams to evaluate business opportunities and review performance of selected BAU business units or projects relating to organic growth, identifying strategic and operational improvement opportunities.
- For partnerships and M&A: drive new business opportunities by leading financial modeling, business viability study, financial due diligence and valuation analysis.
- Monitor key financial and business performance indicators and deliver timely reports to senior leadership.
- Conduct financial analysis and scenario planning to support strategic decision-making.
- Collaborate with cross-functional teams to align and translate financial objectives into actionable deliverables for operational execution.
- Develop financial dashboards and insights that highlight business performance trends, risks, and opportunities.
- Identify key risks and mitigation plan, and translate the plan into actions for execution.
- Ensure effective budgeting, forecasting, and tracking of commercial project performance.
- Liaise with external advisors, investors, or partners during due diligence processes and negotiations.
- Support management and commercial teams to execute inorganic and organic projects and implement partnership and M&A transactions.
- Bachelor s or Master s degree in Finance, Accounting, Business Administration, Economics, or related fields.
- Minimum 5 years of experience in financial planning, commercial finance; experience in corporate strategy or investment banking is a plus.
- Strong expertise in financial modeling, business case analysis, and valuation, with ability to work independently.
- Prior experience in M&A, investment analysis, or new business development in professional services or in relevant industries (for example, in consumer goods or industrial products and services).
- Solid understanding of business performance metrics and financial KPIs.
- Proficient in Excel and PowerPoint; data visualization tools (e.g., Power BI, Tableau) proficiency is a plus.
- Strong communication, both verbally and in writing and stakeholder management skills.
āļāļąāļāļĐāļ°:
Risk Management, Product Owner
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļģāļŦāļāļāļāđāļĒāļāļēāļĒāđāļĨāļ°āđāļāļ§āļāļēāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļāļĒāļĢāļ§āļĄāļāļāļāļāļĨāļļāđāļĄāļāļļāļĢāļāļīāļāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļāļāļ§āļāļāļļāļāļāļĩ āđāļāļ·āđāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāļ§āļāļēāļāļāļķāļāļāļāļīāļāļąāļāļī āđāļĨāļ°/āļŦāļĢāļ·āļ āļāļāđāļāļāļāđāļāļēāļāļāļēāļĢāļāļĩāđāđāļāļĨāļĩāđāļĒāļāđāļ.
- āđāļŦāđāđāļāļ§āļāļēāļāđāļāļāļēāļĢāļ§āļēāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨ / āļāļ§āļāļāļļāļĄ āđāļĨāļ°āļāļīāļāļāļēāļĄ āđāļŦāđāļāļĢāļīāļĐāļąāļāļŊ āļāļģāđāļāļīāļāļāļēāļĢāļāļēāļĄāļāđāļĒāļāļēāļĒāđāļĨāļ°āđāļāļ§āļāļēāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļģāļŦāļāļ āļĢāļ§āļĄāļāļąāđāļāļāļīāļāļāļēāļĄāļĢāļēāļĒāļāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļāļĢāļ°āļāļąāļāļāļĨāļļāđāļĄāļāļļāļĢāļāļīāļāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļĢāļ°āļāļąāļāļāļĢāļīāļĐāļąāļ.
- āļāļđāļĢāļāļēāļāļēāļĢāļāļēāļāļāļģāļāļąāļāļāļđāđāļĨāļāļĢāļīāļĐāļąāļāđāļāļāļĨāļļāđāļĄāļāļļāļĢāļāļīāļāļāļēāļāļāļēāļĢāđāļāļīāļāļĢāđāļ§āļĄāļāļąāļāļŠāļēāļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāļāđāļāļĄāļđāļĨāļāļĩāđāļĄāļĩāļāļąāļĒāļŠāļģāļāļąāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļĢāļīāļĐāļąāļāđāļāļāļĨāļļāđāļĄāļāļļāļĢāļāļīāļ ...
- āđāļŦāđāđāļāļ§āļāļēāļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļĨāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļĢāļīāļĐāļąāļāđāļāļāļĨāļļāđāļĄāļāļļāļĢāļāļīāļāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļŠāļāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļēāļĄāļāļ§āļēāļĄāļāļĩāđāļāļĩāđāļāļģāļŦāļāļ.
- āļāļēāļāļŠāļāļąāļāļŠāļāļļāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ.
- āđāļŦāđāđāļāļ§āļāļēāļāđāļāļāļēāļĢāļāļąāļāļāļģ /āļāļāļāļ§āļ āļāļāļāļąāļāļĢ āļāļģāļŦāļāļāļŦāļĨāļąāļāđāļāļāļāđ āđāļĨāļ° Template āļāļēāļĢāļāļģāđāļŠāļāļāđāļĢāļ·āđāļāļāļāđāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļēāļĢāļāļąāļāļāļđāđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ āđāļĨāļ°āļāļāļāļ§āļāļāļļāļāļāļĩāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāļ§āļāļēāļāļāļĩāđāļāļķāļāļāļāļīāļāļąāļāļīāđāļĨāļ°/āļŦāļĢāļ·āļāļāļāđāļāļāļāđāļāļēāļāļāļēāļĢ'.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļĢāļ°āļāļļāļĄāļāļāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ.
- āļŠāļĢāļļāļāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ āđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāđāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāđāļĨāļ°āļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļāļēāļāļēāļĢāđāļāđāļāļĢāļēāļĒ āđāļāļĢāļĄāļēāļŠ.
- āļāļīāļāļāļēāļĄāļāļ§āļēāļĄāļāļ·āļāļŦāļāđāļēāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļĢāļāļēāļĄāļĄāļāļīāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļāđāļāļĢāļēāļĒāđāļāļ·āļāļ āđāļĨāļ°āļŠāļĢāļļāļāļĢāļēāļĒāļāļēāļāļāļĨāļāđāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļāđāļāļĢāļēāļĒāļāļ§āļ.
- āļŠāļāļąāļāļŠāļāļļāļāđāļĨāļ°/āļŦāļĢāļ·āļāļāļąāļāļāļģāļāđāļāļĄāļđāļĨāđāļŦāđāļŦāļāđāļ§āļĒāļāļēāļāļāļēāļāļāļēāļĢ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļāļ·āđāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāļ·āđāļāđāļāđāđāļāļīāļāđāļāļĒāļāđāļāļŠāļēāļāļēāļĢāļāļ°āļŦāļĢāļ·āļāđāļāļ·āđāļāļāļēāļĢāļāļ·āđāļ.
- āļāļēāļāļŠāļāļąāļāļŠāļāļļāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļĨāļīāļāļ āļąāļāļāđ.
- āļāļģāļŦāļāļ/āļāļāļāļ§āļāļŦāļĨāļąāļāđāļāļāļāđ āđāļĨāļ° Template āļāļēāļĢāļāļģāđāļŠāļāļāđāļĢāļ·āđāļāļāļāđāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļĨāļīāļāļ āļąāļāļāđāđāļĨāļ°āļāļāļāļ§āļāļāļļāļāļāļĩāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāļ§āļāļēāļāļāļĩāđāļāļķāļāļāļāļīāļāļąāļāļī āđāļĨāļ°/āļŦāļĢāļ·āļāļāļāđāļāļāļāđāļāļēāļāļāļēāļĢ āļāļĢāļ°āļāļāļāļāđāļ§āļĒ
- āļāļēāļĢāļāļāļāļāļļāļĄāļąāļāļīāļāļāļ āļŦāļĢāļ·āļāļāļāļāļ§āļāļāļĨāļīāļāļ āļąāļāļāđāļāđāļēāļ Credit Products āđāļĨāļ° Non Credit Products
- (āđāļĄāđāļĢāļ§āļĄāļāļĨāļīāļāļ āļąāļāļāđāđāļāļīāļāļāļēāļ āļāļĨāļīāļāļ āļąāļāļāđāļāđāļēāļāļāļĨāļēāļāđāļāļīāļāļāļĨāļēāļāļāļļāļ āđāļĨāļ° Digital)
- āļāļēāļĢāļāļāļāļāļļāļĄāļąāļāļīāđāļŦāđāļāļĢāļīāļāļēāļĢāđāļāđāļāļļāļāļāļĨāļ āļēāļĒāļāļāļ āđāļĨāļ°āļāļāļāļ§āļāļāļāļāđāļāļāļāļģāđāļāļīāļāļāļēāļĢ
- āļāļēāļĢāļāļāļāļāļļāļĄāļąāļāļīāđāļāđāļāļĢāļīāļāļēāļĢāļāļēāļāļāļļāļāļāļĨāļ āļēāļĒāļāļāļ āđāļĨāļ°āļāļāļāļ§āļāļāļāļāđāļāļāļāļģāđāļāļīāļāļāļēāļĢ.
- āđāļŦāđāđāļāļ§āļāļēāļāđāļāļāļēāļĢāļŠāļĢāļļāļāļāļ§āļēāļĄāđāļŦāđāļāļāļēāļĄ Product āļĢāļ°āļāļąāļāļŠāļēāļĒāļāļēāļāļ āļēāļĒāđāļāļĢāļ°āļĒāļ°āđāļ§āļĨāļēāļāļĩāđāļāļģāļŦāļāļ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļĢāļ°āļāļļāļĄāļāļāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļĨāļīāļāļ āļąāļāļāđ.
- āļāļīāļāļāļēāļĄāļāļ§āļēāļĄāļāļ·āļāļŦāļāđāļēāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļĢāļāļēāļĄāļĄāļāļīāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļĨāļīāļāļ āļąāļāļāđāļāļēāļāļŦāļāđāļ§āļĒāļāļēāļāđāļāđāļēāļāļāļāļāļĨāļīāļāļ āļąāļāļāđ (Product Owner) āđāļĨāļ°āļŠāļĢāļļāļāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļĨāļīāļāļ āļąāļāļāđāļĢāļēāļĒāļāļēāļāļāđāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļąāļāļāļēāļĢāđāļāđāļāļĢāļēāļĒāđāļāļĢāļĄāļēāļŠ.
- āļŠāļāļąāļāļŠāļāļļāļāđāļĨāļ°āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāđāļŦāđāļŦāļāđāļ§āļĒāļāļēāļāļāļēāļāļāļēāļĢ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļāļ·āđāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāļ·āđāļāđāļāđāđāļāļīāļāđāļāļĒāļāđāļāļŠāļēāļāļēāļĢāļāļ° āļŦāļĢāļ·āļāđāļāļ·āđāļāļāļēāļĢāļāļ·āđāļ.
- āļāļēāļāļŠāļāļąāļāļŠāļāļļāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢ GRC āļĢāļ°āļāļąāļāļāļąāļāļāļēāļĢ.
- āļāļģāļŦāļāļ/āļāļāļāļ§āļāļŦāļĨāļąāļāđāļāļāļāđ āđāļĨāļ° Template āļāļēāļĢāļāļģāđāļŠāļāļāđāļĢāļ·āđāļāļāļāđāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢ GRC āļĢāļ°āļāļąāļāļāļąāļāļāļēāļĢ āđāļĨāļ°āļāļāļāļ§āļāļāļļāļāļāļĩāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāļ§āļāļēāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļĢāļ°āļāļļāļĄāļāļāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢ GRC āļĢāļ°āļāļąāļāļāļąāļāļāļēāļĢ.
- āļāļīāļāļāļēāļĄāļāļ§āļēāļĄāļāļ·āļāļŦāļāđāļēāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļĢāļāļēāļĄāļĄāļāļīāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢ GRC āļĢāļ°āļāļąāļāļāļąāļāļāļēāļĢ āđāļĨāļ°āļŠāļĢāļļāļāļĢāļēāļĒāļāļēāļāļāļĨāļāđāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢ GRC āļĢāļ°āļāļąāļāļāļąāļāļāļēāļĢāļāļēāļĄāļāļ§āļēāļĄāļāļĩāđāļāļĩāđāļāļģāļŦāļāļ.
- āļŠāļāļąāļāļŠāļāļļāļāđāļĨāļ°āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāđāļŦāđāļŦāļāđāļ§āļĒāļāļēāļāļāļēāļāļāļēāļĢ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļāļ·āđāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļēāļāļŠāļāļąāļāļŠāļāļļāļāļāļāļ°āļāļģāļāļēāļ GRC.
- āļāļģāļŦāļāļ/āļāļāļāļ§āļāļŦāļĨāļąāļāđāļāļāļāđ āđāļĨāļ° Template āļāļēāļĢāļāļģāđāļŠāļāļāđāļĢāļ·āđāļāļāļāđāļāļāļāļ°āļāļģāļāļēāļ GRC āđāļĨāļ°āļāļāļāļ§āļāļāļļāļāļāļĩāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāļ§āļāļēāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļĢāļ°āļāļļāļĄāļāļāļāļāļāļ°āļāļģāļāļēāļ GRC.
- āļāļīāļāļāļēāļĄāļāļ§āļēāļĄāļāļ·āļāļŦāļāđāļēāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļĢāļāļēāļĄāļĄāļāļīāļāļāļ°āļāļģāļāļēāļ GRC āđāļĨāļ°āļŠāļĢāļļāļāļĢāļēāļĒāļāļēāļāļāļĨāļāđāļāļāļāļ°āļāļģāļāļēāļ GRC āļāļēāļĄāļāļ§āļēāļĄāļāļĩāđāļāļģāļŦāļāļ.
- āļŠāļāļąāļāļŠāļāļļāļāđāļĨāļ°āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāđāļŦāđāļŦāļāđāļ§āļĒāļāļēāļāļāļēāļāļāļēāļĢ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļāļ·āđāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļąāļāļāļģāļāļđāđāļĄāļ·āļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (SOP) āđāļĨāļ°āļāļđāđāļĄāļ·āļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (User Manual) āļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļāļīāļāļąāļāļīāļŦāļāđāļēāļāļĩāđāļāđāļēāļāļāļēāļĢāļāļāļąāļāļāļēāļ āļāļĢāļ°āļŠāļēāļāļāļēāļĢāļāļķāļāļāļāļĢāļĄāđāļĨāļ°āļāļąāļāļāļēāļāļāļąāļāļāļēāļ āļāļāļāļĢāļ°āļĄāļēāļ āļāđāļēāđāļāđāļāđāļēāļĒ āļŠāļēāļĢāļāļĢāļĢāļāđāļĨāļ°āļĢāļ§āļāļĢāļ§āļĄāđāļāļāļāļēāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļāļīāļāļąāļāļīāļŦāļāđāļēāļāļĩāđāļāļ·āđāļāđāļāļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļāđāļēāļāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļāļēāļĢāļāļąāļāļāļĩ āļāļēāļĢāđāļāļīāļ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļ§āļīāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļāļĒāļĢāļ§āļĄ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļāļīāļāļąāļāļīāļāļēāļĢ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļāļāļĢāļđāđāđāļāļāļļāļĢāļāļīāļāļāļāļāļāļāļēāļāļēāļĢ āļāļĨāļīāļāļ āļąāļāļāđāđāļĨāļ°āļāļĢāļīāļāļēāļĢ.
- āļĄāļĩāļāļ§āļēāļĄāļāļ·āđāļāļŠāļąāļāļĒāđ āļŠāļļāļāļĢāļīāļ āļĒāļļāļāļīāļāļĢāļĢāļĄ āđāļĨāļ°āđāļāļĢāđāļāđāļŠ āļĢāļ§āļĄāļāļķāļāļĄāļĩāļāļąāļĻāļāļāļāļīāļāļĩāđāļāļĩāļāđāļāļāļāļēāļāļēāļĢ.
- āļĄāļĩāļĄāļāļļāļĐāļĒāđāļŠāļąāļĄāļāļąāļāļāđāļāļĩāđāļāļĩ āđāļĨāļ°āļĄāļĩāļāļąāļāļĐāļ°āļāđāļēāļāļāļēāļĢāđāļŦāđāļāļģāļāļĢāļķāļāļĐāļē.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļāđāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāđāđāļāļĢāļ°āļāļąāļāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ..
- āļāđāļēāļāđāļāđāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and implement both short-term and long-term marketing communication strategies aligned with the company s policies, target audiences, and current industry and social trends.
- Conduct market research to identify industry trends, customer preferences, and competitor activities to inform strategic decisions.
- Manage the marketing budget, ensuring effective allocation of resources for maximum ROI.
- Oversee the development and maintenance of the brand's identity, voice, and messaging, ensuring consistency across all channels (e.g., in-store, online, social media).
- Act as a brand steward, ensuring all creative and communications reflect the brand's values and vision.
- Work with internal teams (operations, product development) and external agencies to ensure brand integrity is maintained.
- Lead the creation and distribution of engaging content for various platforms, including social media, websites, email marketing, and in-store materials.
- Develop and manage digital marketing initiatives, paid advertising, and content marketing campaigns.
- Utilize data and analytics to monitor the performance of campaigns and adjust strategies to optimize results.
- Plan and execute promotional campaigns to increase foot traffic, drive sales, and encourage customer loyalty.
- Collaborate with the operations and sales teams to organize events, seasonal promotions, and special offers.
- Develop and manage grand opening programs for new store locations to build local brand awareness and stimulate product trial.
- Manage relationships with media outlets, influencers, and industry partners to secure positive brand coverage.
- Oversee the creation and distribution of press releases and other public-facing communications.
- Coordinate PR events and interviews, and manage crisis communications as needed.
- Liaise with the operations team to ensure effective implementation of marketing plans at the store level.
- Work closely with the purchasing and product development teams to align marketing efforts with new product launches and inventory management.
- Provide regular reports on sales performance, campaign results, and market analysis to senior management.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Shift 1 >> 08:00 a.m. - 17:00 p.m.
- Shift 2 >> 13:00 p.m. - 22:00 p.m.
- Bachelor's degree in Liberal Arts, Humanities or related field.
- At least 1-2 years of experience in service business such as hotel or shopping mall industry.
- Proficient in using MS Office program.
āļāļąāļāļĐāļ°:
Sales, Finance, Business Development, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Client Relationship Management: Develop and maintain strong relationships with corporate clients to understand their trade finance needs and provide tailored solutions..
- Sales and Business Development: Identify and pursue new business opportunities within the corporate sector to expand the trade finance portfolio..
- Product Knowledge: Stay updated on trade finance products and services, including letters of credit, guarantees, and trade loans, to effectively advise clients..
- Market Analysis: Conduct market research to identify trends and opportunities in the trade finance sector..
- Risk Management: Assess and manage risks associated with trade finance transactions, ensuring compliance with regulatory requirements..
- Collaboration: Work closely with key stakeholders, including credit, operations, and compliance, to ensure seamless delivery of trade finance services..
- Reporting: Prepare regular reports on sales activities i.e. deal pipelines, client interactions, and market trends for senior management..
- Bachelor s degree in Finance, Business Administration, or a related field.
- Minimum of 5 years of experience in trade finance or corporate banking.
- Strong understanding of trade finance products and services.
- Excellent sales and negotiation skills.
- Ability to build and maintain strong client relationships and manage key stakeholders.
- Strong analytical and problem-solving skills.
- Proficiency in MS Office Suite.
- Excellent in English communication and interpersonal skills.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- We are seeking an experienced Human Resources Business Partner (HRBP) to join our team at Bank of Ayudhya Public Company Limited'. As an HRBP, you will be responsible for providing strategic HR support and consultation to our business units, driving organisational effectiveness and employee engagement. This is a full-time position with hybrid work based in Yan Nawa Bangkok.
- What you'll be doing.
- Partner with business leaders to understand their HR needs and develop tailored solu ...
- Advise on employee relations, performance management, learning and development, and other HR initiatives.
- Collaborate with the HR team to implement HR policies, processes, and programmes.
- Analyse HR data and metrics to identify trends and opportunities for improvement.
- Contribute to the design and delivery of HR projects and initiatives.
- Champion the company's culture and values, and foster an engaging work environment.
- What we're looking for.
- Minimum 5 years of experience as an HR business partner or in a similar generalist HR role.
- Strong understanding of HR best practices, employment laws, and regulations.
- Excellent communication and interpersonal skills, with the ability to build effective relationships.
- Critical thinking and problem-solving skills to identify and address business needs.
- Excellent in excel, data analysis and reporting.
- Ability to work collaboratively in a team environment.
- What we offer
- At Bank of Ayudhya Public Company Limited', we are committed to providing our employees with a rewarding and supportive work environment. In addition to competitive compensation, we offer a range of benefits including health insurance, retirement plans, and opportunities for professional development. We also prioritize work-life balance, with flexible work arrangements and wellness initiatives.
- About us
- Bank of Ayudhya Public Company Limited' is a leading financial institution in Thailand, providing a comprehensive range of banking and financial services to individual and corporate customers. With a strong focus on innovation and customer-centricity, we are committed to driving the growth and prosperity of the communities we serve.
- Apply now to join our dynamic team and be a part of our exciting journey.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- About the Team The Search Operations team aims to improve search user experience, contribute significant DAU impact to the products and drive for increase in traffic and GMV. Search recommendation is the shortcut to link queries to users through personalized recommendation strategy and algorithm. We endeavor to increase users' recognition and online traffic of TikTok search by closely working with product management and R&D teams, policy managers as well as data delivery teams to cover the whole operation process, including launching new markets, opening new portals, expanding the ...
- Minimum Qualifications 1. Candidates to be open to shift work hours; 2. Have QA experience of moderation project, or familiar with RCA; 3. Good English proficiency, Bachelor's degree or above; 4. Good judgement when dealing with ambiguity and encountering unfamiliar situations by providing timely feedback 5. Your ability to work in a high tempo environment, adapt, respond to day-to-day challenges of the role. 6. Your resilience and commitment to self-care to manage the emotional demands of the role. Preferred Qualifications 1. Frequent use of TikTok and strong familiarity with Google, YouTube, Ins, Facebook; 2. Those who have knowledge of search trending related businesses are preferred; 3. Familiar with common office software, preferably have search operation experience; 4. Team management experience is a bonus.
- Job Information.
- About TikTok.
- TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
- Why Join Us.
- Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
- We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
- Diversity & Inclusion.
- TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
- Trust & Safety.
- TikTok recognises that keeping our platform safe for the TikTok communities is no ordinary job which can be both rewarding and psychologically demanding and emotionally taxing for some. This is why we are sharing the potential hazards, risks and implications in this unique line of work from the start, so our candidates are well informed before joining.
- We are committed to the wellbeing of all our employees and promise to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 - āļŋ16,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļēāļāđāļāļāļāļēāļĢāļāļāļŠāđāļāļŠāļīāļāļāđāļē āđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļāļģāļŦāļāļāļ§āļąāļāļŠāđāļāļĄāļāļāļāļāļāļāļģāļŠāļąāđāļāļāļ·āđāļ (Order).
- āļāļĢāļ§āļāļŠāļāļāļāļģāļŠāļąāđāļāļāļ·āđāļ (Order) āđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāđāļēāļĒāļāļēāļĒāđāļāļĩāđāļĒāļ§āļāļąāļāļĢāļēāļĒāļāļēāļĢāļāļĩāđāļāļ°āļāļąāļāļŠāđāļ.
- āļāļĢāļ§āļāļŠāļāļāļāļģāļŠāļąāđāļāļāļ·āđāļāļĨāđāļ§āļāļŦāļāđāļē 1 āļŠāļąāļāļāļēāļŦāđ āđāļāļ·āđāļāđāļāđāļāđāļŦāđāļāđāļēāļĒāļāļēāļĒāļāļĢāļēāļ āđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāļāļĢāđāļāļĄāļāļāļāļĢāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāļāļāļŠāđāļ.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļ·āđāļ āđ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒāļāļēāļāļāļđāđāļāļąāļāļāļąāļāļāļąāļāļāļē.
- āđāļĄāđāļāļģāļāļąāļāđāļāļĻ.
- āļāļēāļĒāļļ 24-36 āļāļĩ.
- āļŠāļģāđāļĢāđāļāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļ āļāļ§āļŠ. āļāļķāđāļāđāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļŠāļēāļĒāļāļēāļāļāļĒāđāļēāļāļāđāļāļĒ 1 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļāļĨāđāļēāļāļīāļ āļāļĨāđāļēāļāļąāļāļŠāļīāļāđāļ āđāļĨāļ°āļŠāļ·āđāļāļŠāļēāļĢāļāļĒāđāļēāļāļāļąāļāđāļāļ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļēāđāļāđ.
- āđāļāļīāļāļāļēāļāļĄāļēāļāļģāļāļēāļāđāļāļāđāļāđ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 - āļŋ18,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļąāļāļāļģāđāļāļāļāļēāļĢāļāļĨāļīāļ/āļāļĢāļĢāļāļļ āđāļāļ·āđāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļŠāļīāļāļāđāļēāđāļĨāļ°āļāļēāļĄāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļĨāļđāļāļāđāļē.
- āļāļąāļāļāļģāđāļāļāļāļēāļĢāļŠāļąāđāļāļŠāļēāļĢāđāļāļĄāļĩ āđāļāļ·āđāļāđāļŦāđāđāļāļĩāļĒāļāļāļāļāđāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŠāđāļ§āļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļāļąāđāļāđāļāļŠāđāļ§āļ āļāļģāļāļāđāļŦāđāļāļĨāļīāļ/āļāļĢāļĢāļāļļāļŠāļīāļāļāđāļē, āļāļēāļĢāļāļīāļāļāđāļāļāļĢāļ°āļŠāļēāļāļāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāļĢāļąāļāđāļāđāļēāļŠāļēāļĢāđāļāļĄāļĩ āļĢāļ§āļĄāļāļąāđāļ āļāļēāļĢāļĢāļąāļ-āļāđāļēāļĒāļŠāļīāļāļāđāļē.
- āļāļąāļāļāļģāđāļāļāļŠāļēāļĢāļāļēāļĢāļāļģāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļēāļĄāļĢāļ°āļāļ ISO 9001:2015.
- āļāļēāļāļāļ·āđāļāđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āđāļāļĻāļāļēāļĒ āļāļēāļĒāļļ 23 - 35 āļāļĩ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļē āļāļ§āļŠ.āļāļķāđāļāđāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļ§āļēāļāđāļāļāļāļĒāđāļēāļāļāđāļāļĒ 1 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļģāļāļ§āļāļāļēāļāđāļāļĄāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđ MS Office āđāļāđāļāļĒāđāļēāļāļāļĩ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļēāļĢāđāļāđāļāļĄāđ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 , āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- We truly believe in providing radical service for raving fans, that means customer service that goes beyond fulfilling basic needs or expectations..
- Understand our products inside out and through genuine conversations, you are able to recommend products to support what our community is looking for..
- Understand and execute the daily technical operations of the store such as POS (point of sale) management, inventory stocktake, stock management, and upholding visual merchandising standards..
- Can communicate in English would be a plus!.
- A friendly and outgoing disposition, we love a team player!.
- Proactiveness and an ability to think smart on one s feet..
- Pressure won t get the best of them! A calm composure when put in challenging situations is a great character trait we look out for..
- CentralWorld.
- Central Pinklao.
- Mega Bangna.
- Available to work a minimum of 2 weekdays, 2 weekends (at least 32 hours)..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Software Development, SQL, Python, Windows API, English, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- Maintain overall system efficiency by conducting daily monitoring, verifying system integrity, reviewing application and system logs, and ensuring completion of scheduled processes such as data backups. Provide user support and ensure optimal performance of the Local Area Network (LAN), including internet access.
- Implement and monitor system and network security through intrusion detection, firewall and VPN maintenance, and regular assessments of critical servers (e.g., DHCP, DNS, application and web servers).
- Work with internal users, clients, and stakeholders to gather and analyze system requirements for new development or system enhancement initiatives.
- Design system architecture, develop flowcharts and data models to illustrate functional logic, integration points, and data exchange across components.
- Identify system-related risks and propose mitigation strategies to ensure seamless implementation and long-term stability.
- Environmental Observation Station Integration.
- Ensure seamless integration, functionality, and data transmission between field-based observation stations and RIMES s central data systems.
- Collaborate with hardware and field operation teams to troubleshoot equipment or communication issues affecting data collection and transmission.
- Perform regular system maintenance, including software updates, backups, and performance checks. Set up automated alerts to detect and report system anomalies or failures.
- Monitor and maintain inventory of servers, sensors, and associated equipment; provide recommendations for necessary replacements or upgrades.
- Technical Advice, Testing, Validation, and Support.
- Develop and execute test plans, including test scripts and scenarios, to validate system functions against business or user requirements.
- Provide technical advice related to hardware configuration, system enhancement, and software acquisition, along with database, server, user access, and security management support.
- Coordinate with software development teams to support system integration and provide feedback from operational and user perspectives.
- Develop and maintain technical documentation, user manuals, system configuration records, troubleshooting guides, and security protocols.
- User & Application Development Support.
- Manage user accounts, including new account creation, permission control, and password reset requests.
- Support User Acceptance Testing (UAT) processes and troubleshoot functional issues and system errors identified during development or rollout.
- Coordinate with developers, IT support staff, and end users to diagnose and resolve application issues.
- Train users on systems access, cybersecurity, software use, customization options, and basic IT literacy as required.
- Liaison and Documentation.
- Act as a liaison between technical staff and end-users, interpreting project requirements into actionable technical specifications and system functions.
- Ensure consistent and complete technical documentation, including system design documents, user requirements, testing reports, and operational manuals.
- Support capacity-building efforts by facilitating training workshops and developing instructional materials for both users and IT personnel.
- Education.
- Bachelor s degree in Computer Science, Information Technology, Computer Engineering, ICT, or related field.
- Proficiency in system analysis methodologies, software development life cycle (SDLC), and business process modeling.
- Working knowledge of programming and database technologies (e.g., Java, Python, C++, MySQL, PostgreSQL).
- Familiarity with web technologies, API integration, and system architecture design.
- Basic understanding of network administration and protocols (e.g., TCP/IP, DNS, VPN).
- Knowledge of cybersecurity principles and system performance optimization.
- Experience.
- Minimum 3 years of experience in system analysis, application development, or IT infrastructure support.
- Experience in system documentation, troubleshooting, and user support.
- Prior experience working in a multi-project environment or regional/international development context is an asset.
- Personal Attributes.
- Strong analytical and problem-solving capabilities.
- Excellent interpersonal and communication skills.
- High attention to detail, initiative, and a commitment to quality.
- Ability to work independently and collaboratively in a fast-paced setting.
- RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Research, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- A Master s degree in Climatology, Meteorology, Atmospheric Science, Environmental Science, or a related field with a minimum of five (5) years of relevant professional experience in climatology or related areas is required.
- A Ph.D. in a related field may be considered in lieu of some experience, provided the candidate demonstrates strong applied expertise relevant to the position.
- Strong understanding of climate variability and weather-related hazards, including extreme rainfall, droughts, heatwaves, tropical cyclones, and severe storms, particul ...
- Proficiency in climate modeling, data processing, and visualization using R, Python, MATLAB, GIS, or other relevant statistical and geospatial tools.
- Familiarity with global and regional forecasting systems and platforms (e.g., ECMWF, CFS, GFS, WRF, RegCM), and experience working with climate datasets such as ERA5, CMIP6, CHIRPS, and CRU.
- Advanced understanding of seasonal and sub-seasonal prediction systems and their application in risk-informed planning and decision-making.
- Knowledge of climate risk assessment, disaster risk reduction (DRR), early warning systems (EWS), and climate change adaptation (CCA) concepts and planning frameworks.
- Demonstrated ability to generate and translate climate information into impact-based forecasts and advisory products relevant to agriculture, water resources, health, and disaster risk management.
- Experience in statistical downscaling, bias correction, and real-time error correction methods, including application of machine learning techniques.
- Proficiency in geospatial analysis, remote sensing data applications, and integration of spatial datasets into climate assessments.
- Strong analytical, diagnostic, and systems-level problem-solving skills.
- Proven ability to interpret and communicate complex scientific findings to technical and non-technical audiences, including policy- and decision-makers.
- Excellent communication and technical writing skills, including the development of scientific reports, policy briefs, proposals, training materials, and donor reporting.
- Strong stakeholder engagement and representation skills, and demonstrated ability to work effectively in cross-disciplinary, multicultural, and multi-stakeholder environments.
- Capacity to manage multiple assignments under tight deadlines while maintaining attention to detail and quality.
- Experience.
- A minimum of five (5) years of professional experience in operational climate forecasting, climate modeling, and climate data analysis.
- Experience collaborating with national meteorological and hydrological services, regional climate centers, governmental agencies, and/or international organizations.
- Demonstrated experience in developing climate products and integrating climate information into early warning systems or decision-support tools for climate-sensitive sectors such as agriculture, water resources, health, and disaster preparedness.
- Experience working with climate systems and hazard contexts in Southeast Asia and/or South Asia.
- Personal Attributes.
- Strategic thinker with strong analytical and solution-oriented capabilities in applied climate science.
- Self-driven and capable of working independently while maintaining accountability and initiative.
- Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
- Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
- Professional, respectful, and proactive in both independent and team-based work settings.
- Major Duties and Responsibilities.
- Lead the development and delivery of climate-related products and services under the Decision Support System (DSS), including seasonal and sub-seasonal forecasts, bulletins, and outlooks.
- Design scalable climate analysis tools and frameworks for integration into RIMES DSS across countries and projects.
- Analyze historical and real-time climate data to identify trends, anomalies, thresholds, and risks.
- Manage and apply climate datasets, assimilation data, and remote sensing for climate analysis and risk assessment.
- Develop and implement bias correction and error adjustment methods, including statistical and machine learning techniques, to enhance forecast accuracy.
- Integrate climate information into sector-specific early warning systems and planning processes across agriculture, water, health, and disaster risk management.
- Provide technical support and capacity strengthening to national and regional partners on climate data analysis, modeling, and application.
- Design and conduct trainings, workshops, and technical mentoring; produce manuals, guidance notes, and documentation to ensure sustainability and knowledge transfer.
- Collaborate across RIMES thematic teams to develop integrated, impact-based climate advisories and contribute to cross-sectoral resilience programming.
- Represent RIMES in technical forums, support resource mobilization, and maintain active engagement with meteorological agencies, donors, and development partners.
- Contribute to the design, testing, and documentation of forecasting tools and services, as well as to the preparation of reports, proposals, and related documentation.
- Perform other duties as assigned to support RIMES climate-related programs and institutional objectives.
- Contract Duration.
- The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Git, Python, R, TensorFlow, GIS, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- A Bachelor s degree in Data Science, Computer Science, Geoinformatics, Statistics, Earth Sciences, or a related field, with a minimum of five (5) years of relevant professional experience in data science, preferably in geospatial or geophysical applications;.
- A Master s degree in related field with at least three (3) years of relevant experience.
- Strong proficiency in Python or R, with experience using data analytics libraries (e ...
- Solid understanding of machine learning concepts, time-series analysis, and statistical modeling.
- Familiarity with geospatial data formats (e.g., NetCDF, GRIB, GeoTIFF) and GIS tools is a plus.
- Familiarity with global and regional forecasting systems and platforms and experience working with climate datasets.
- Strong analytical, diagnostic, and systems-level problem-solving skills.
- Proven ability to interpret and communicate complex scientific findings to technical and non-technical audiences, including policy- and decision-makers.
- Ability to document technical work and communicate findings clearly with the project team.
- Capacity to manage multiple assignments under tight deadlines and work effectively in a cross-disciplinary, multicultural team environment.
- Minimum 3 years of experience in data science, preferably in geospatial or geophysical applications.
- Experience working with scientific computing and version control systems (e.g., Git).
- Personal Qualities.
- Conscientious and efficient in meeting commitments, observing deadlines, and achieving results.
- Self-driven and capable of working independently while maintaining accountability and initiative.
- Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
- Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
- Professional, respectful, and proactive in both independent and team-based work settings.
- Major Duties and Responsibilities.
- Collect, organize, and maintain large-scale structured and unstructured datasets from seismic, oceanographic, observational sources, and historical records.
- Contribute to the design and development of the tsunami scenario database, including data indexing, tagging, and retrieval functionality.
- Conduct exploratory data analysis (EDA) to identify trends, anomalies, and features relevant to support scenario-based modeling.
- Model Development.
- Collaborate with system architects and software developers to integrate data science models into the PRECISE platform.
- Develop probabilistic models to quantify uncertainty in tsunami impact forecasts, including scenario-based risk assessments and ensemble modeling techniques.
- Develop statistical and ML models to identify patterns, anomalies, and predictive signals for tsunami generation and propagation.
- Evaluate model performance and implement optimization strategies to improve prediction accuracy and computational efficiency.
- Document data sources, methodologies, models, and workflows to ensure reproducibility and transparency.
- Provide technical recommendations for future AI/ML tool integration based on findings and emerging trends.
- Other tasks.
- Support the development of visualization tools and dashboards for real-time data interpretation and communication with end users.
- Collaborate with cross-functional teams including researchers, domain experts, and developers to ensure effective system design and integration.
- Provide technical support and documentation, including system manuals, deployment instructions, and maintenance guidelines.
- Perform other duties as may be required by the Project Lead.
- Contract Duration.
- The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews..
- RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Data Entry, Finance, Procurement
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Manage end-to-end invoice processing, ensuring accuracy, timely submission, and alignment with internal policies (Workplace Services, Visa, Work Permit, Business Travel, and Engagement activities).
- Maintain vendor communication and documentation, including invoice status tracking, PO monitoring, payment exceptions handling, and basic vendor inquiries.
- Update centralized spend reports by supporting data entry, reconciling invoices against planned budgets, and flagging discrepancies for review.
- Assist in tracking financial data for cost allocation purposes and support consolidation into monthly reports (under the guidance of the Manager).
- Coordinate with cross-functional teams (Finance, Procurement, Admin) mainly to ensure smooth invoice-to-payment processing; escalate issues when needed.
- Maintain operational trackers, invoice logs, basic reporting dashboards, and document filing repositories to support audit readiness and transparency.
- Participate in small-scale process improvement initiatives where relevant to invoice management or administrative workflows.
- Support ad hoc reporting requests by gathering invoice or spend-related data as assigned by the Manager.
- Bachelor's degree in business administration, Finance, Accounting, Economics, or related field.
- 1-2 years of experience in finance operations, procurement support, administrative services, or similar areas.
- Familiarity with invoice lifecycle, purchase request (PR) / purchase order (PO) processes, and basic expense reporting.
- Experience with ERP systems such as Oracle or SAP is a plus.
- Technical Skills.
- Strong proficiency in Microsoft Excel or Google Sheets (e.g., VLOOKUP, pivot tables, charts).
- Comfortable working with large datasets and documentation.
- Experience maintaining financial or operational trackers.
- Core Competencies.
- Strong attention to detail and organizational skills to ensure accurate invoice processing and reporting.
- Effective communication and collaboration across departments (Finance, Procurement, Admin).
- High sense of responsibility, integrity, and professionalism.
- Proactive, curious, and eager to learn and contribute to team success.
- Ability to manage multiple tasks and deadlines effectively.
- Why Join Us?.
- Be part of a growing and evolving team that drives operational excellence in People Services.
- Contribute to meaningful, cross-functional projects that impact workplace experience and operational efficiency.
- Gain hands-on exposure to finance, procurement, and global operations within a leading tech company.
- Learn from and collaborate with supportive colleagues in a positive, team-oriented environment.
- Build a strong career foundation blending financial operations, vendor management, and reporting skills, with opportunities for further growth.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
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- āļāļąāļāļāļē āļāļĢāļąāļāļāļĢāļļāļ āđāļĨāļ°āļāļāļāđāļāļāļāļīāļĻāļāļēāļāļāļāļāļāļāļāđāļāļāļāđāļ§āļīāļāļĩāđāļ āļāļąāđāļāļĢāļđāļāđāļāļāļŠāļąāđāļāđāļĨāļ°āļĒāļēāļ§ āđāļŦāđāļāļĢāļāđāļāļāļĨāļļāđāļĄāđāļāđāļēāļŦāļĄāļēāļĒ āļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāļ§āļāļēāļāļāļāļ THE STANDARD LIFE.
- āļāļīāļāđāļĨāļ°āļŦāļēāļāļđāđāđāļāļĩāđāļĒāļ§āļāļēāļ āļŦāļĢāļ·āļāđāļāļāļĢāļąāļāđāļāļīāļāļāļĩāđāļāđāļēāļŠāļāđāļ āđāļāļ·āđāļāļĄāļēāļĢāđāļ§āļĄāđāļāļĢāđāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļŦāļĢāļ·āļāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđāđāļāļĢāđāļāļāļāđāļĢāđāļ§āļĄāļāļąāļ.
- āļāļđāđāļĨāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĨāļīāļāļāļāļāđāļāļāļāđāļ§āļīāļāļĩāđāļāļāļļāļāļāļąāđāļāļāļāļ āļāļąāđāļāļ āļēāļ āđāļŠāļĩāļĒāļ āđāļāļ·āđāļāļŦāļē āđāļŦāđāđāļāđāļāļĨāļāļēāļāļāļĩāđāļĄāļĩāļāļļāļāļ āļēāļ āļ āļēāļĒāđāļāđāļ§āļĨāļēāļāļĩāđāļāļģāļŦāļāļ āđāļĨāļ°āļāļ§āļāļāļļāļĄāļāļāļāļĢāļ°āļĄāļēāļāđāļŦāđāđāļŦāļĄāļēāļ°āļŠāļĄ.
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- āļāļāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļēāļ§āļēāļĢāļŠāļēāļĢāļĻāļēāļŠāļāļĢāđ āļāļīāđāļāļĻāļĻāļēāļŠāļāļĢāđ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāļāđāļēāļāđāļāļĢāļāļąāļāļāļąāļ 2-4 āļāļĩ (āđāļāļĒāļāļđāđāļĨāļāļąāđāļāļāļēāļāđāļāļ·āđāļāļāļŦāļāđāļēāđāļĨāļ°āđāļāļ·āđāļāļāļŦāļĨāļąāļāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āđāļāđāļēāđāļāđāļĢāļ·āđāļāļāļāļēāļĢāļ§āļēāļāđāļāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļāļāļĢāļ°āļĄāļēāļāļāļāļāļāļĩāļĄ.
- āđāļāļĩāđāļĒāļ§āļāļēāļāļāļēāļĢāļāļĨāļīāļāļāļāļāđāļāļāļāđāļ§āļīāļāļĩāđāļ āļāļąāđāļāļĢāļđāļāđāļāļāļŠāļąāđāļāđāļĨāļ°āļĒāļēāļ§.
- āđāļāđāļāļēāļ Social Media Platform āļāđāļēāļāđ āđāļāđāļāļĒāđāļēāļāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāđāļāđāļĨāļ°āļĢāļđāļāđāļāļāļāļāļāļāļāļāđāļāļāļāđ.
- āđāļāđāļēāđāļāļāļĨāļļāđāļĄāđāļāđāļēāļŦāļĄāļēāļĒ āļĢāļđāđāļ§āđāļēāļāļđāđāļāļĄāļāđāļāļāļāļēāļĢāļāļ°āđāļĢ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļāļāđāļāļāļ§āļīāļāļĩāļāļēāļĢāđāļĨāđāļēāđāļĢāļ·āđāļāļāđāļŦāđāđāļāļāđāļ.
- āļĄāļĩāļ āļēāļ§āļ°āļāļđāđāļāļģ āļāļĨāđāļēāļāļąāļāļŠāļīāļāđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļđāđāļĨāļŠāļĄāļēāļāļīāļāļāļĩāļĄāđāļŦāđāļāļģāļāļēāļāđāļāđāļāļĒāđāļēāļāļĢāļēāļāļĢāļ·āđāļ.
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āđāļ§āđāļāđāļāļāđāđāļĢāļēāļĄāļĩāļāļģāđāļŦāļāđāļāļāļēāļāļĨāđāļēāļŠāļļāļāļāļēāļāļāļĢāļīāļĐāļąāļāļāļąāđāļāļāļģāļāļ§āđāļē 1,000 āļāļĢāļīāļĐāļąāļ āļāļĩāđāļāļļāļāļŠāļēāļĄāļēāļĢāļāđāļĨāļ·āļāļāļāļēāļāļāļĩāđāļāļļāļāļŠāļāđāļāđāļāđāļāļēāļ āļŠāļēāļĒāļāļēāļ āļāļĢāļ°āđāļ āļāļāļļāļĢāļāļīāļ āļŦāļĢāļ·āļāļāđāļēāļāļļāļāļĄāļĩāļāļĢāļīāļĐāļąāļāđāļāđāļāļāļĒāļđāđāđāļĨāđāļ§āļāđāļŠāļēāļĄāļēāļĢāļāļāđāļāļŦāļēāļāļēāļāļāļ·āđāļāļāļĢāļīāļĐāļąāļāđāļāđāđāļĨāļĒ āļāļāļāļāļēāļāļāļĩāđāļāļļāļāļĒāļąāļāļŠāļēāļĄāļēāļĢāļāļŦāļēāļāļēāļāđāļāđāļāļēāļāļāļĢāļ°āđāļ āļāļāļēāļ āļāļĩāđāļĄāļĩāļāļąāđāļ āļāļēāļāļāļĢāļ°āļāļģ āļāļēāļāļāļēāļĢāđāļāđāļāļĄāđ āļāļķāļāļāļēāļ āļŦāļĢāļ·āļāđāļĨāļ·āļāļāļāļēāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāļāļģāļāļēāļāļāđāđāļāđ
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āđāļāļĩāļĒāļāđāļāđāļāļĨāļīāļāļāļĩāđāļāļ·āđāļāļāļĢāļīāļĐāļąāļāļĢāļ°āļŦāļ§āđāļēāļāļāļĩāđāļāļļāļāļāļģāļĨāļąāļāļāļđāļāļģāđāļŦāļāđāļāļāļĩāđāļĨāļāļāļĢāļ°āļāļēāļĻāļāļēāļāļāļĒāļđāđ āļāļļāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļ āļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāļāļĢāļīāļĐāļąāļāļāļĩāđāļāļļāļāļŠāļāđāļāđāļāļŦāļāđāļē Company Page āļāļĩāđāļĢāļ§āļĄāđāļāļēāļāđāļāļĄāļđāļĨāļāđāļēāļāđ āđāļāļĒāđāļāļāļēāļ°āļĢāļĩāļ§āļīāļ§āļāļēāļāļāļāļąāļāļāļēāļāļāļĢāļīāļāļāļĩāđāļāļģāļāļēāļāļāļĒāļđāđāļāļĩāđāļāļąāđāļ āļāļģāđāļŦāđāļāļļāļāđāļāđāļĢāļđāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāļāļāļāļāļĢāļīāļĐāļąāļāļāđāļāļāļāļāļŠāļĄāļąāļāļĢāļāļēāļ
WorkScore āļāļ·āļāļāļ°āđāļĢ
āļĢāļ°āļāļ WorkScore āļāđāļ§āļĒāđāļāļ°āļāļģāļāļģāđāļŦāļāđāļāļāļēāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ āļāļēāļĢāļĻāļķāļāļĐāļē āđāļĨāļ°āļāļąāļāļĐāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļāļāļāļļāļ āđāļāļĩāļĒāļāđāļāđāļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āļāļĢāļāļāđāļāļĢāđāļāļĨāđāļāļāļāļāļļāļāđāļŦāđāļāļĢāļ 80% āļāļķāđāļāđāļ āđāļāđāļēāļāļĩāđ āļāđāļāļāļŠāļĄāļąāļāļĢāļāļēāļāļāļļāļāļāđāļāļ°āļāļđāđāļāđāđāļĨāđāļ§āļ§āđāļēāļāļēāļāđāļāđāļĨāļ°āļāļģāđāļŦāļāđāļāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļāļāļāļļāļāļāļĩāđāđāļāļāļĢāđāđāļāđāļāļāđ
āļĄāļĩāļāļģāđāļāļ°āļāļģāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāļŦāļēāļāļēāļāļāļ·āđāļāđāļāļīāđāļĄāđāļāļīāļĄ?
āđāļāđāļāļāļ! āļāļāļāļāļēāļāļĢāļ°āļāļāļāļēāļĢāļŦāļēāļāļēāļāļāļĩāđāļāļąāļāļŠāļĄāļąāļĒ āđāļĢāļēāļĒāļąāļāļĄāļĩāļāļĨāđāļāļāđāļŦāđāļāļģāđāļāļ°āļāļģāļāđāļēāļāļāļēāļāļĩāļāļāļĩāđāļĢāļ§āļĄāđāļāļēāļāļģāđāļāļ°āļāļģāđāļāđāļāđ āļāļąāđāļ āļāļēāļĢāļŠāļąāļĄāļ āļēāļĐāļāđāļāļēāļ āđāļāļāļāļīāļāļāļēāļĢāļŦāļēāļāļēāļ āļāļēāļĢāļŦāļēāļāļāļāđāļāļāļāļąāđāļ āļāļēāļĢāļāđāļāļĢāļāļāđāļāļīāļāđāļāļ·āļāļ āļāļ°āļĢāļāļāļĒāļđāđāđāļāļĒāļāļģāđāļĄāļŦāļĨāđāļ°? 50 āļāļĢāļīāļĐāļąāļāļĒāļāļāļāļīāļĒāļĄāļāļĩāđāļāļąāļāļāļąāļāļāļąāļāđāļāļĒ WorkVenture āļāļģāļĨāļąāļāļĢāļāļāļļāļāļĄāļēāļŠāļĄāļąāļāļĢāļāļēāļāļāļĒāļđāđ