เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Support and maintain monthly ETL processes for actuarial data workflows.
• Provide technical support for Actuarial and Reinsurance teams.
• Develop, modify, and maintain stored procedures, SQL scripts, and SSIS packages.
• Investigate and resolve data quality and consistency issues.
• Perform technical troubleshooting and root cause analysis for data-related problems.
• Assist in developing and maintaining data pipelines and integration workflows.
• Prepare and maintain technical documentation for data processes and systems.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Contribute to process improvements and knowledge sharing within the team.
• ABOUT YOU
• 0-3 years of experience in Data Engineering, Data Analytics, or a related field.
• Hands-on experience with SSMS, SSIS, Databricks, and Azure Cloud Services.
• Proficiency in T-SQL / SQL, with experience in Spark and Python.
• Strong understanding of Microsoft SQL Server (MSSQL) and Azure Blob Storage.
• Growth mindset with a proactive and solution-oriented attitude.
• Ability to work independently and collaboratively in a team environment.
• Strong communication skills in English and Thai, both written and spoken.
• Nice to have
• Knowledge of the insurance industry, particularly Actuarial or Reinsurance domains.
• Familiarity with WTW Unify or IBM DB2 (AS400) environments.
• WHY AMARIS?
• Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
• Trust and Growth: With 70% of our leaders starting at entry-level, we're committed to nurturing talent and empowering you to reach new heights.
• Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
• Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.
• Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
• Equal opportunity
• Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ประเภทงาน:

งานประจำ

• Design and develop data storage structures from various systems, ensuring data integration for efficient usage.
• Organize data in a format that is ready for use and supports analysis.
• Define report formats that meet the needs of different departments within the organization.
• Develop automated reporting systems that can deliver data to each team according to scheduled timelines.
• Design reports to support product category management and space management based on POS (Point of Sale) data.
• Process and analyze data from POS systems, as well as market survey data, to develop sales strategies for different areas and store segments.
• Analyze sales data and business performance, and compare them against targets.
• Analyze promotional campaign data and summarize results to present to management.
• Analyze marketing data including growth rate, pricing, product lifecycle, distribution, merchandising, and repeat purchases, by compiling reports from both internal company data and competitor data.
• Participate in annual budgeting (sales and promotional activities).
• At least 4 years of experience in data structure design, automated reporting, and data analysis for business development, with a strong focus on Power BI and SQL.
• Knowledge of retail / FMCG business operations.
• Strong strategic thinking and advanced data analysis skills.
• Familiarity with Big Data tools, analytics platforms, and digital technologies.
• Proficiency in data visualization tools such as Power BI and SQL.
• Contact Person: [email protected] (Apitchaya).

ทักษะ:

Product Development, Tableau, SQL

ประเภทงาน:

งานประจำ

• Identify valuable data sources and automate collection processes.
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
• Proven experience as a Data Scientist or Data Analyst.
• Experience in data mining.
• Experience using business intelligence tools (e.g. Tableau).
• Knowledge of SQL and Python.
• Understanding of machine-learning and operations research.
• Analytical mind and business acumen.
• Strong math skills (e.g. statistics).
• Problem-solving aptitude.
• Excellent communication and presentation skills Working knowledge of message queuing, stream processing, and highly scalable big data 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).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย: (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• 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.

ทักษะ:

SQL

ประเภทงาน:

งานประจำ

• Understand RDT (Regulatory Data Transformation) requirement from BOT (Bank of Thailand).
• Provide data availability analysis, data source, data extraction criteria and confirm with related Domain expert, Data owner and support functions.
• Provide data validation rules.
• Confirm final data extraction logic with IT-RDT team.
• Support for any DQ issue and solution.
• Maintain RDT Center parameters.
• Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
• Apply now if you have these advantages.
• Bachelor s degree or higher in Computer Science / Management Information System or any related field.
• Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance.
• Experience in regulatory data management, its relationship and dependencies.
• Well-versed in banking industry knowledge and strong in data-related skills.
• Well-versed RDT Regulation Literacy.
• Data profiling with variety data sources.
• Interpersonal skill with IT/Domain Expert/Data Owner, able to communicate well.
• Advance SQL skill is a must for this role.
• Banking background will be advantage.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• 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..
• 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).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

SQL

ประเภทงาน:

งานประจำ

• มีทักษะและประสบการณ์ด้านการออกแบบ/พัฒนาระบบ/เขียนโปรแกรม Web/Mobile Application ไม่น้อยกว่า 1 ปี.
• สามารถทำงานบริหารและจัดการงานโครงการพัฒนาระบบงาน IT (Application Implementation Project) หรือสนับสนุนการใช้งานระบบ (Application Support).
• หากมีประสบการณ์ด้านต่อไปนี้ จะได้รับการพิจารณาเป็นพิเศษ.
• Programming Language เช่น MS SQL, MS SharePoint,.NET/ Web Programming / Mobile App programming.
• Aplication ด้าน Marketing & Retail Technology เช่น POS, CRM, Loyalty, Website, Mobile App, LineOA, MARTECH,AI/ML for Marketing & Retail business,CDP.
• ปริญญาตรีหรือปริญญาโทในสาขาวิศวกรรมคอมพิวเตอร์, วิทยาศาสตร์คอมพิวเตอร์, เทคโนโลยีสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง.
• เหตุผลดีๆ ที่คุณมองหาจากเรา.
• เราให้ความสำคัญกับพนักงานทุกคนอย่างเท่าเทียม ปลูกฝังให้ทุกคนยึดมั่นในการประกอบสัมมาชีพ อย่างมีบรรษัทภิบาลที่ดี.
• เราให้ความสำคัญต่อการพัฒนาศักยภาพพนักงานในทุกๆ ด้าน ด้วยโปรแกรมการฝึกอบรมคุณภาพให้เหมาะสมกับแต่ละคน เพื่อยกระดับการทำงานของพนักงานอย่างมืออาชีพ.
• สำนักงานใหญ่ของบางจาก ถูกออกแบบให้เป็น Smart Office and Smart Display Solution ที่มีความหรูหรา ทันสมัย และประหยัดพลังงาน.
• ความอบอุ่นแบบพี่น้อง คือหัวใจในการดูแลพนักงานใหม่ที่ก้าวเข้ามาในครอบครัวของเรา.
• ความปลอดภัยในการทำงานยังเป็นอีกหนึ่งสิ่งที่สำคัญสูงสุดของธุรกิจปิโตรเลียม ดังนั้นพนักงานบางจากทุกคนจึงต้องผ่านการอบรมตามมาตรฐานความปลอดภัยและอาชีวอนามัยอย่างเข้มข้น.
• พนักงานสบายใจได้กับโปรแกรมประกันสุขภาพ OPD/IPD และเรายังให้เงินช่วยเหลือค่ารักษาพยาบาลสำหรับบุพการี.
• Work life balance คือสิ่งสำคัญ เวลาการทำงานที่ยืนหยุ่นทำให้คุณจัดสรรเวลาได้อย่างลงตัว.

ทักษะ:

Kafka, Python, SQL

ประเภทงาน:

งานประจำ

• Develop and maintain credit risk assessment and lending decisions modules.
• Expertise for handling large financial databases and credit data manipulation.
• Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask, FastAPI) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies.
• Monitor model performance to ensure high accuracy and reliability in credit decisions.
• Data Analysis & Risk Assessment.
• Clean and preprocess financial datasets, particularly credit lending and risk data.
• Conduct advanced statistical analyses to support risk assessment and lending decisions.
• Technical Skills.
• Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn).
• Experience with cloud platforms (AWS,GCP) for model deployment.
• Knowledge of statistical and machine learning techniques for risk modeling.
• Domain Expertise.
• Understanding of credit lending and risk assessment principles.
• Experience in financial data analysis within regulatory constraints.
• Proven track record in developing credit decision engines (optional).
• Education & Experience.
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field.
• Minimum 3 years experience in retail lending or similar role.
• Additional Requirements.
• Strong communication skills for presenting complex findings and process flow to management.
• Experience with data visualization tools (Tableau, Power BI).
• Ability to work collaboratively with cross-functional teams..
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

Compliance, SQL, Automation

ประเภทงาน:

งานประจำ

• Utilise SQL, Regex, Excel, to monitor policy detection and improve policy rule capture to maximise detection and QC efficiency.
• Identify root causes of inefficiencies and design scalable, data-driven solutions.
• Develop and execute improvement roadmaps aligned with business priorities.
• Track performance and measure impact of implemented initiatives.
• Identify opportunities to integrate AI and automation into listings and content workflows.
• Policy & Governance Management Review and enhance Listings & Content policies across categories.
• Partner with both internal Listing sub teams, and external teams including Legal, Corporate Affairs, Seller Operations, Logistics, and other stakeholders to develop and implement policy changes.
• Conduct impact assessments and ensure proper cascade and adherence to policies.
• Standardize and maintain policy documentation and reference materials.
• Manage BAU activities while aligning operational workflows with established governance frameworks.
• Execute a comprehensive listing strategy, detect policy violations, and enforce compliance across all operational stages to ensure total governance.
• Project Management & Stakeholder Engagement Partner with regional teams to align on global protocols and best practices.
• Drive stakeholder alignment in a fast-paced, matrixed environment.
• Data Analysis & Reporting Analyze operational and compliance data to identify trends and improvement opportunities.
• Requirements: Bachelor s degree in a quantitative field such as Industrial Engineering, Management Engineering, Business, or related fields.
• Strong analytical and structured problem-solving skills.
• Advanced proficiency in Microsoft Excel and PowerPoint.
• Experience working with one or more languages for querying and analysis - SQL skill is Mandatory.
• Strong project management and stakeholder management capabilities.
• Ability to work effectively in a fast-paced, multi-cultural environment.

ทักษะ:

Product Owner, Data Analysis, SQL, English

ประเภทงาน:

งานประจำ

• Lead incident management and act as the technical escalation point for critical issues; perform Root Cause Analysis (RCA) and implement preventive actions to reduce recurring incidents.
• Own the defect management lifecycle as Product Owner (PO), including defect triage, prioritization, tracking, and analysis to drive continuous improvement.
• Monitor application performance and system health using tools such as Dynatrace, and collaborate with development teams to improve system reliability.
• Support troubleshooting and data analysis using SQL, including ad-hoc data fixes when required.
• Collaborate with teams to ensure stable operations, support system releases, user manual and maintain documentation.
• Mentor junior team members by providing technical support, knowledge sharing, and best practices to enhance team capability and performance.
• Effectively multi-task handling under pressure with the good quality.
• Bachelor s degree/Master s degree in Computer Science, Computer Engineering or related fields.
• At least 5 years of experience in Application Support, Production Support.
• At least 2 years of experience in senior role.
• Experience with Cloud platform, AWS is preferred.
• Familiarity with Linux/Unix operating system.
• Familiarity with relational databases and SQL.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work under pressure in production environments.
• Strong ownership and accountability mindset.
• Good English communication skill.
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/bprivacynoticeen).
• 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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Problem Solving, Excel, SQL, English

ประเภทงาน:

งานประจำ

• Work on a big scale project to come up with high level business strategy.
• Define KPI and top-line target for key business metrics for commercial team to followed.
• Face high business challenges to utilize and improve problem solving skill with high learning curves.
• Job Description: Strategically design scheme and improve monthly KPI to drive the organization to reach the target.
• Analyze complex data to find valuable insights in order to drive business performance.
• Demonstrate leadership to guide the overall project requirements in initiation, planning, execution, monitoring, evaluation, and closure.
• Organize and optimize project resources (budget, timeline, workforce).
• Coordinate with internal teams and external partners to solve errors.
• Requirements: Minimum Bachelor's degree in management, business or any related field.
• Minimum 3 years of work experience in related fields.
• Strong Excel skill is required.
• Basic SQL skill is required.
• Good communication and presentation skills, both speaking and written in Thai and English.
• Strong analytical skill and able to make judgement based on logical reasons.
• Good team players and leadership skills with growth mindset.
• Demonstrated ability to learn fast, handle multiple tasks, to prioritize those tasks and meet deadlines.
• Flexible in working hours (issues that require attention can occur outside normal working hours).

ทักษะ:

Finance, SQL, Python, English

ประเภทงาน:

งานประจำ

• Collect, monitor and verify data sources and maintaining manual updates of Fixed Income data.
• Taking ownership for data quality, accuracy, timeliness and completeness.
• Dealing with client queries connected to Fixed Income Data.
• Working optimally within teams or by yourself, be proactive to identify and resolve problems.
• Skills and experience.
• Working professional proficiency in English and Mandarin (simplified and traditional) as role requires extensive reading in these languages on daily basis.
• Thai language proficiency is an added advantage, to support Thailand and China market.
• Strong interest in Finance.
• Experience in sourcing information.
• Practical knowledge of MS Excel.
• Attention to details.
• Knowledge of Fixed Income markets a plus.
• SQL/Python skills a plus.
• Education.
• Bachelor s degree in Economics/Finance or Financial Mathematics.
• Fresh graduates are encouraged to apply.
• This role is on blended work model with 3 days working in office and 2 days remotely. If you're up to the challenge, apply today!.
• Associate
• Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
• 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.
• 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.
• You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
• 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.

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
• To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
• Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
• Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
• Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
• Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
• Excellent communication skill both in Thai and English.
• Experience in programming and SQL.
• Able to work under pressure and with multiple stakeholders within limited timeline.
• Interested in new technologies / innovations.
• Master's degree in a quantitative discipline.
• At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
• Experience working on teams that managed large scale data projects.
• Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
• Conceptual, logical and physical data modeling, and data architecture knowledge.
• Visualization expertise in tools like Tableau and Power BI etc..
• PTG Energy Public Company Limited.
• 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road,.
• Huaykwang, Bangkok 10310.
• www.ptgenergy.co.th.

ทักษะ:

SQL

ประเภทงาน:

งานประจำ

• ศึกษาและทำความเข้าใจ Application / Software ที่ใช้ในองค์กร เพื่อให้สามารถ support user ได้อย่างถูกต้อง.
• ตรวจสอบและแก้ไขปัญหาต่างๆ ที่เกิดขึ้นกับ Application ให้เป็นไปตาม SLA ที่กำหนด.
• ทำงานร่วมกับทีมพัฒนาระบบ เพื่อแก้ไขปัญหาที่เกิดขึ้นกับ Application.
• จัดทำเอกสารรวบรวมการแก้ไขปัญหาเพื่อเป็น Knowledge Base.
• ให้การสนับสนุนและให้คำปรึกษาเกี่ยวกับการใช้งาน Application.
• มีทักษะในการคิดเชิงวิเคราะห์อย่างเป็นระบบและทำงานแบบมุ่งผลสำเร็จ.
• มีทัศนคติ can-do ในการทำงาน.
• สามารถทำงานภายใต้สภาวะกดดันและเวลาอันจำกัดได้ดี.
• มีความสามารถในการสื่อสาร มนุษย์สัมพันธ์ที่ดี สามารถทำงานร่วมกับผู้อื่นได้ดี.
• มีความรู้เกี่ยวกับฐานข้อมูล และภาษา SQL.
• สามารถใช้คำสั่งจาก MS SQL ได้.
• จบการศึกษาระดับปริญญาตรี สาขาวิชาวิทยาการคอมพิวเตอร์ วิศวกรรมคอมพิวเตอร์ หรือสาขาวิชาที่เกี่ยวข้อง.
• สามารถปฏิบัติงานเป็นกะได้.
• มีประสบการณ์ในงาน Application support (จะพิจารณาเป็นพิเศษ).

ทักษะ:

Oracle, SQL, NoSQL

ประเภทงาน:

งานประจำ

• Lead the design and architecture of core banking systems (e.g. Thought Machine, FIS Profile, Systematics, IBS, or other FIS platforms)..
• Ensure alignment with business requirements, regulatory standards, and enterprise architecture principles..
• Technical Leadership.
• Define and drive system modernization, cloud migration, and API driven banking solutions..
• Provide architectural guidance on scalability, security, performance, and resiliency.
• Integration & Customization.
• Design and implement integration strategies between core banking platforms and digital banking, payment systems, and regulatory/compliance solutions..
• Address product limitations and customization requirements, especially within Thought Machine environments..
• Stakeholder Engagement.
• Work closely with business leaders, product owners, developers, and vendors to ensure successful solution delivery..
• Act as a trusted advisor on core banking architecture decisions.
• Performance & Security.
• Ensure systems meet high availability, performance, security, and regulatory compliance standards..
• Innovation & Emerging Technology.
• Stay up to date with AI, GenAI, cloud computing, and digital banking trends..
• Proactively recommend innovative solutions to enhance banking architecture and customer experience.
• Project Delivery.
• Lead end to end project implementation, from planning and design through go live and post implementation support..
• Ensure delivery within scope, timeline, and budget..
• 8+ years of direct experience in core banking architecture and implementation..
• Strong knowledge of banking processes, digital transformation, and regulatory frameworks..
• Hands on experience implementing and architecting solutions on Thought Machine, including understanding its limitations..
• Proven experience with cloud platforms (AWS, Azure, or GCP), microservices architecture, and API integrations..
• Strong background in databases (Oracle, SQL, NoSQL) and DevOps practices..
• Experience working in Agile/Scrum environments and leading cross functional teams..
• Excellent communication, presentation, and stakeholder management skills..
• Ability to work independently and manage multiple complex initiatives.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Javascript, TypeScript, SQL, node.js, Git, Thai, English

ประเภทงาน:

งานประจำ

• Analyze, design, and develop software applications.
• Follow given requirements and specifications for software development.
• Clearly and regularly communicate with management and technical support colleagues.
• Test, maintain and recommend software improvements to ensure strong functionality and optimization.
• Bachelor's degree in computer science or related degree.
• 2 or more years of experience in web development or related roles.
• Good programming skills in JavaScript, TypeScript, Python, Java, or other relevant languages.
• Mobile application or web development skills.
• Teamwork and communication skills.
• Good command in English.
• Location: MRT Bangkae (2 min walk).

ทักษะ:

Data Analysis, SQL, Problem Solving, English

ประเภทงาน:

งานประจำ

• Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
• Implement data solutions and data comprehensiveness for data customers.
• Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
• Retrieve and prepare data (automated if possible) to support business data analysis.
• Ensure adherence to the highest standards in data privacy protection and data governance.
• Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
• Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience in data processing batch / real time / nearly realtime.
• Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
• Experience with web or software development with Java,Python or similar.
• Experience with Agile methodology is a plus.
• Good in communication and writing in English.
• Good interpersonal and communication skills.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

ทักษะ:

Finance, SQL

ประเภทงาน:

งานประจำ

• Spearhead the execution of Sephora's Beauty Pass Loyalty Program in Thailand, with a laser focus on driving growth in the Black and Gold customer base.
• Champion executional excellence in the implementation of loyalty program strategies, and adhering to established guidelines and best practices provided by the SEAOI Regional Loyalty Team. Ensure a consistent and elevated loyalty experience across all customer touchpoints.
• Collaborate closely with the SEAOI Regional Loyalty Team to launch, pilot, and rigor ...
• Act as the primary liaison between the SEAOI Regional Loyalty Team and Thailand markets, on all Loyalty matters and initiatives, ensuring alignment on strategic Loyalty objectives. Proactively translate regional strategies into actionable market-specific plans, driving expedient and effective execution with your local teams e.g. Digital, Merch, Retail etc.
• Curate and maintain an attractive and well-stocked selection of rewards and gifts within the Rewards Boutique and Birthday Gifts in your markets.
• Manage the Loyalty budget for Thailand and ensuring efficient allocation of resources across all initiatives.
• Train and empower store teams to effectively drive loyalty program member acquisition, retention, and uptiering efforts in retail.
• Conceptualize, plan, and execute impactful loyalty member events with the goal of driving recruitment, uptiering, rigorously tracking and optimizing ROI on all event investments.
• Manage the financial implications of the Beauty Pass Loyalty Program in Thailand, by collaborating with SEAOI Regional Loyalty Team and local Finance teams in mitigating points liability, while driving value and engagement for customers. This includes enabling proactive management of liability, forecasting points redemption rates and optimization of reward offerings.
• Lead regular market business reviews with the SEAOI Regional Loyalty Team, proactively providing insightful market performance updates, identifying opportunities for optimization, and ensuring alignment with overall Regional Loyalty objectives.
• Extract Quarterly data on Loyalty and Big commercial campaign.
• Collaborate with Sephora Finance team to work with Bank partner to deliver effective promotional offer to big and BAU campaigns and foresee the marketing materials developed by bank and give comments as well as develop POS material for in-store channels.
• Vet Thai copy on CRM and Loyalty materials provided by regional team.
• Effective interpersonal communication and ability to manage relationships with stakeholders.
• Ability to quickly address and resolve any issues that arise in the operation of the loyalty program.
• Excellent at managing timelines, resources, and workflows to ensure the smooth execution of daily operations.
• Teamworking and leadership skills.
• Strong presentation and stakeholder management skills.
• Ability to communicate complex ideas with clarity for stakeholders at all levels as you must speak with partners, colleagues, and customers.
• Keen attention to detail to ensure accuracy in the loyalty rewards boutique and in the execution of loyalty program elements.
• Commercial awareness: a Senior CRM & Loyalty executive must know his/her target market well and have the ability to create campaigns that grab the attention of customers and solves their problems.
• Top quality analytical skills. A big part of your job involves gathering and analyzing data to help business understand the customer base and coming up with suggestions for improving the existing strategy.
• SQL and/or relational database proficiency.
• Community, in which authenticity is embraced, and the strength of our differences fuels our collective spirit.
• Culture of empowerment, learning & growth, that offers you the tools, space and opportunity to learn, innovate and lead.
• Work that brings fulfilment, from delighting clients every day, to inspiring our industry at large, every action makes a difference.
• It is in the Sephora DNA to champion a world of inspiration and inclusion where everyone can celebrate their beauty. You can be yourself, because you are what sets us apart. Join us and belong to something beautiful.
• Sephora is proud to be an equal opportunity workplace for all. We do not discriminate in recruitment, hiring, training, advancement, or other employment practices. We celebrate diversity and are committed to creating and fostering an inclusive environment for all employees.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, SQL, NoSQL, English

ประเภทงาน:

งานประจำ

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

ทักษะ:

SQL, ETL, Project Management, English

ประเภทงาน:

งานประจำ

• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs.
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor s degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• Additional Desirable Qualification.
• CORE Competencies.

ทักษะ:

Product Owner, Data Analysis, SQL, English

ประเภทงาน:

งานประจำ

• Lead incident management and act as the technical escalation point for critical issues; perform Root Cause Analysis (RCA) and implement preventive actions to reduce recurring incidents.
• Own the defect management lifecycle as Product Owner (PO), including defect triage, prioritization, tracking, and analysis to drive continuous improvement.
• Monitor application performance and system health using tools such as Dynatrace, and collaborate with development teams to improve system reliability.
• Support troubleshooting and data analysis using SQL, including ad-hoc data fixes when required.
• Collaborate with teams to ensure stable operations, support system releases, user manual and maintain documentation.
• Mentor junior team members by providing technical support, knowledge sharing, and best practices to enhance team capability and performance.
• Effectively multi-task handling under pressure with the good quality.
• Bachelor s degree/Master s degree in Computer Science, Computer Engineering or related fields.
• At least 5 years of experience in Application Support, Production Support.
• At least 2 years of experience in senior role.
• Experience with Cloud platform, AWS is preferred.
• Familiarity with Linux/Unix operating system.
• Familiarity with relational databases and SQL.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work under pressure in production environments.
• Strong ownership and accountability mindset.
• Good English communication skill.
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/bprivacynoticeen).
• 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.