
āļāļĩ āđāļāđāļ āļāļĩ āļāļĨāļīāļāļ āļąāļāļāđāļāļāļāļāļĢāļĩāļ āļāļģāļāļąāļ
āđāļĄāđāļĄāļĩāļāļģāđāļŦāļāđāļāļāļēāļāļŠāļģāļŦāļĢāļąāļāļāļĢāļīāļĐāļąāļāļāļĩāđ āļāđāļāđāļāļāļĩāđāđāļāđāļāļāļģāđāļŦāļāđāļāļāļēāļāļāļĩāđāļāļļāļāļāļēāļāļāļ°āļŠāļāđāļ
āļāļąāļāļĐāļ°:
Automation, Finance, Excel, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Process and maintain data accurately and in a timely manner onto databases using technical and financial knowledge.
- Communicate & liaise with internal and external departments for resolution of data queries, including direct contact with customers. Has expertise in data related issues.
- Solid knowledge of financial regulations and market practices/conventions in relevant markets.
- Improve efficiencies in work practices by implementing automation where possible.
- Enhances usage of available tools/support to best of advantage to maintain/improve content quality during daily operations.
- Ensures data quality, accuracy, timeliness and completeness per company standards for their covered product/market.
- Test new database/application releases where appropriate, providing guide user feedback.
- Supports specific projects, as assigned by the manager.
- Deliver high productivity and quality data.
- Proactively identify and resolve data problems.
- Qualifications Bachelor's Degree or higher in Economics, Finance, Arts, Humanities or related field.
- Good Simplified Chinese writing and reading skills. Korea writing and reading ability is a plus.
- Good English communication skills.
- Microsoft Word and Excel.
- Knowledge in financial markets and financial or accounting terms is a plus.
- Accuracy and attention to detail.
- New graduates are welcome to apply.
- LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
āļāļąāļāļĐāļ°:
Oracle, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļđāđāļĨ āļāļ§āļāļāļļāļĄ āđāļŦāđāļāļģāļāļĢāļķāļāļĐāļēāđāļāļ§āļāļēāļāđāļāļāļēāļĢāļāļąāļāļāļēāļĢāļ°āļāļāļāļēāļāđāļāļ·āđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļēāļĢāđāļāļīāļāļāļāļāļāļāļēāļāļēāļĢ āļāđāļēāļ Asset and Liability Management, Fund Transfer Pricing, Profitability Management āđāļĨāļ° Liquidity Risk Management āļĢāļ§āļĄāļāļķāļāļŠāļĢāļĢāļŦāļēāđāļāļāđāļāđāļĨāļĒāļĩāļŠāļēāļĢāļŠāļāđāļāļĻāđāļŦāļĄāđāļĄāļēāđāļāđāđāļāļāļēāļĢāļāļāļāđāļāļāđāļĨāļ°āļāļąāļāļāļēāļĢāļ°āļāļ.
- āļŠāļēāļĄāļēāļĢāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āđāļŠāļāļāđāļāļ§āļāļēāļāđāļāļāļēāļĢāđāļāđāļāļąāļāļŦāļēāļāđāļ§āļĒāļĢāļ°āļāļāļāļēāļ āđāļĨāļ°āđāļāļāđāļāđāļĨāļĒāļĩāļāđāļēāļāđ āđāļāļ·āđāļāļāļāļāļŠāļāļāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļāļđāđāđāļāđāļāļēāļ.
- āļāļąāļāļŠāļĢāļĢāļāļēāļ āđāļĨāļ°āļāļĢāļąāļāļĒāļēāļāļĢāļāđāļēāļāđ āđāļŦāđāļŠāļēāļĄāļēāļĢāļāļāļāļāļŠāļāļāļāļāļąāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāđāļĨāļ°āđāļāļāļāļēāļāļāļēāļāļāļļāļĢāļāļīāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļĨāļ°āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāđāļāđāļĢāļ°āļāļāļāļēāļāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨ āļŦāļĢāļ·āļāļāļēāļĢāļāļąāļāļāļēāļĢāļ°āļāļāļāļēāļāđāļāļ·āđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļēāļĢāđāļāļīāļ (āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļĢāļ°āļāļ Financial Services Analytical Applications (OFSAA) āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨ āļŠāļēāļĄāļēāļĢāļāļāļģāđāļŠāļāļāļāļĨāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāđāļāđāļŠāļāļāđāļāļ°āļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļĩāļĄāļāļēāļāļāļ·āđāļ āđ āđāļāđāļāļĒāđāļēāļāļāļąāļāđāļāļāđāļĨāļ°āđāļāđāļēāđāļāļāđāļēāļĒ.
- QualificationsMaster's or Bachelor's degree in computer science, Information Systems, or related field.
- 10+ years of experience in risk information or related roles within banking or finance.
- Expertise in Data Warehouse, BI, Data Analytics.
- Strong analytical and design skills for data solutions, including source systems and resolving Data Quality issues.
- Experience in Solution Architecture.
- Knowledge of financial risk management and BOT-RDT regulations is advantageous.
- Effective communication and stakeholder management skills.
- Leads and drives the squad (team) to success, and facilitates squad-level activities and team-level agile ceremonies including daily stand-ups, iteration/sprint planning, and retrospectives within the iteration/sprint by using the agile methods and framework. Ensure that the project is delivered on time, to the required quality standards, and the team/squad members attain improved productivity.
āļāļąāļāļĐāļ°:
eCommerce, Business Development, Market Research, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Performance strategy & execution: develop subcategory strategy based on various data points, derive action plans and execute with team members to monitor and improve key performance indicators. In charge of China and international new key account seller BD and incubation to ensure overall store commercial operation quality control, mainly including the logistic performance, business risk control, buyer experience maintains.
- Assortment planning & merchandising: develop category knowledge in terms of assortme ...
- Sellers management: manage relationships with the seller communities with a particular focus on top sellers, acting as a business advisor to ensure their sustainable growth and contribution to the subcategory, as well as working closely with the vendor acquisition team to acquire and groom new sellers to grow strategic assortment within the subcategory.
- Marketing & onsite management: working closely with cross-functional teams including traffic and marketing teams to plan for campaigns as per the identified assortment and growth direction of the subcategory and manage onsite merchandising and deal hunting from the sellers.
- Bachelor s Degree or above.
- At least 2+ years of of ecommerce experience, business development, or market research.
- Proficient in Chinese & English speaking and writing skill. Have HSK test is a great plus.
- Strong analytical skills with systematic and structured thinking.
- Excellent negotiation and problem-solving skills.
- Ability to work in a fast-paced and dynamic cross-functional environment.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Manage a diverse portfolio of 40-70 local SMEs sellers, fostering strong relationships and providing dedicated support.
- Strategically guide SMEs sellers to achieve sustainable growth on the Lazada platform, leveraging technological resources and innovative solutions.
- Drive sales growth and advertising revenue growth in accordance with company objectives, consistently striving to exceed targets and benchmarks.
- Capable in assortment planning & merchandising, adept at optimizing stock and negotiating pricing to drive sales growth.
- Execute tailored strategies, including barter programs and seller investment initiatives, to maximize growth opportunities and enhance seller success.
- Proficient in performing in-depth analysis to drive innovative improvements in commercial excellence, with the ability to spearhead key projects to drive impactful results.
- Collaborate cross-functionally with internal teams to identify market trends, optimize platform features, and deliver exceptional value to SMEs partners and buyers.
- Act as a trusted advisor and advocate for SMEs, advocating for their needs within the company and championing their success at every opportunity.
- Minimum of 1 years of professional experience, preferably in roles related to sales, account management, buyer, procurement, retail, or business development.
- Previous experience in industries related to e-commerce or sales, and direct client-facing roles are highly advantageous.
- Demonstrated proficiency in Microsoft Office suite, including Excel, Word, and PowerPoint, to effectively analyze data, create reports, and deliver compelling presentations.
- Possess a proactive "can-do" attitude, self-motivation, and a strong drive to achieve ambitious goals and targets.
- Excellent communication and interpersonal skills, with the ability to build and maintain strong relationships with SMEs partners and internal stakeholders.
āļāļąāļāļĐāļ°:
Product Development, Teamwork, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Minimum of 3-5 years' experience in Cloud business, Partnership Management, B2B Marketing.
- Bachelor s degree in IT, Engineer, Marketing or related fields.
- Experience in partnership program management, Channel sales management, Marketing activity management.
- Fluent in English (Writing, Speaking, Listening, Reading).
- Excellent teamwork skills.
- Excellent presentation skill.
- Excellent analytical skill in both numerical and abstract.
- Proven ability to influence cross-functional teams.
āļāļąāļāļĐāļ°:
Digital Marketing, Statistics, Python
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Drive clear and effective business translation of AI/ML products between business and technical stakeholders.
- Design, develop and leverage Advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML) models to support digital marketing, MarTech, AdTech, and hyper-personalization initiatives.
- Analyze Big Data to develop effective predictive and recommendation models.
- Collaborate closely with Product Owners, IT teams, and Data teams to implement AI solutions that improve marketing campaign performance.
- Continuously refine and enhance AI models through testing and performance evaluation.
- Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/MLprojects..
- Bachelor s Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field.
- Minimum of 2 years in AI/ML engineer, cloud solution or a related field.
- Proficiency in some of the following: Python, PySpark and SQL etc.
- Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus.
- Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
- Ability to communicate and collaborate with cross-functional teams.
- Growth mindset and openness to continuously learning and facing new projects and new technologies.
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āļāļąāļāļĐāļ°:
SAP, Industrial Engineering, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Engage clients in workshops and interviews to analyze process and reporting requirements.
- Advise clients on industry/ cross-industry leading practices. Advise clients on SAP recommended processes and functions.
- Design target state SAP solutions for clients. Influence clients thinking in adopting leading/ standard practices while developing target state.
- Analyze application landscape to design interfaces to SAP solution.
- Perform SAP configuration and tests. Develop specifications for development of forms/ reports/ interfaces.
- Lead the consultant and client teams through the implementation cycle including planning and execution of testing, migration and cutover.
- Support change management execution by developing training material, delivering training and supporting users post cutover.
- Develop relationships with internal and external stakeholders.
- Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Managers across our Firm are expected to:Develop diverse, high-performing people and teams through new and meaningful development opportunities.
- Collaborate effectively to build productive relationships and networks.
- Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
- Align your team to key objectives as well as set clear priorities and direction.
- Make informed decisions that positively impact the sustainable financial performance and enhance the quality of outcomes.
- Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
- Lead with integrity and make a strong positive impact by energising others, valuing individual differences, recognising contributions, and inspiring self-belief.
- Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
- Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
- Requirements:Bachelor or Master s degree in Information Technology, Business Admistrative,Engineering (Computer Engineering, Industrial Engineering), Computer Scienceor a related field or relevant field, supported by relevant experience.
- Strong functional knowledge of SAP Exchanges (SAP IS-Oil module) with at least 8years of experience in Exchanges module implementation.
- Hands-on experience in configuring end-to-end Exchanges processes, including pricing, netting, and settlement.
- Experience in SAP SD (Sales & Distribution) is preferred.
- Strong Oil, Gas, and Chemical industry background.
- Ability to create functional design documents for RICEFW objects and collaborate with the technical team for development.
- Experience with S4/Hana is a big plus.
- Deep and wide experience in SAP led transformation programs in diverse industries.
- Broad understanding and appreciation of emerging business and technology paradigms.
- Demonstrated ability to engage client stakeholders on a range of issues.
- A self-motivated individual with ability to chart his/ her route to success.
- Ability to provide situational leadership to engagement teams, and coaching/ mentorship to team members.
- Value driven, inclusive individual committed to client service excellence.
- Willingness to work outside of office base and most of all.
- An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit to our short-term and long-term project assignments.
- Good command of English communication.
- Due to volume of applications, we regret that only shortlisted candidates will be notified.
- Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 108309In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.
āļāļąāļāļĐāļ°:
Project Management, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ50,000 - āļŋ65,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Developing process enhancement strategies.
- Conducts Process blueprinting to review existing processes and identify areas for improvement.
- Analyze performance metrics and operational data to identify opportunities, develop action plans, and implement process improvements.
- Develop and implement process changes to guide the Customer Care Specialist to deliver superior customer experience and to improve operational efficiency.
- Develop process workflow and design for new products, systems and services.
- Oversee implementation of new business processes.
- Monitor and measure the impact of new Process and Improved Process rolled out to ensure achievement of desired outcome.
- Maintain and update all the process related reports and documentation for reference purposes.
- Develop in-depth knowledge of Lazada s products, services and systems used by customers (buyers and sellers) and Customer Care team.
- Assist in promoting the implementation of best practices.
- Recommend innovative business and technical solutions to improve operational effectiveness.
- Process benchmarking and establishing norms and standard of processes - Process Standardization and alignment for six (6) ventures...
- Tertiary education level.
- At least 3 years working experience in Process Improvement/ Process Optimization.
- Service Delivery or Customer Service experience (preferably).
- Excellent English communication.
- Chinese communication (Read and Write) is preferable.
- Any source of project management certification.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Sales, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ18,000 - āļŋ30,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ, āļĄāļĩāļāđāļēāļāļāļĄāļĄāļīāļāļāļąāđāļ
- Coordinate with both domestic and overseas clients regarding product orders, shipments, and related documentation..
- Communicate with overseas clients via email, phone, LINE, or WeChat..
- Liaise with logistics, production, and warehouse departments to prepare for export and import operations..
- Ensure the accuracy and completeness of export documents such as Invoice, Packing List, Bill of Lading (BL), and Air Waybill (AWB) and also work with the shipping while importing the machine and parts..
- Giving after-sale service for both domestic and overseas clients..
- Bachelor s degree in Marketing, Business Administration, International Business, Logistics or a related field.
- Minimum 1-2 years of experience in international sales or export coordination.
- Strong command of English (spoken, written, and reading) - knowledge of other languages is an advantage.
- Excellent communication and negotiation skills.
- Strong problem-solving skills and ability to work collaboratively as part of a team.
- Proficiency in Microsoft Office and basic knowledge of import/export documentation.
- Opportunity to work with a leading multi-industry organization.
- Warm and supportive work environment.
- Career development opportunities and excellent benefits.
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Statistics, Data Analysis, SQL
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- 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.