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Skills:

ETL, Big Data

Job type:

Full-time

• Pipeline Development: Support the design and maintenance of scalable ETL/ELT pipelines for structured and unstructured datasets..
• AI Data Readiness: Assist in building data ingestion flows for Vector Databases and supporting RAG (Retrieval-Augmented Generation) architectures..
• Data Modeling: Contribute to the creation of robust data models and Feature Stores that serve both traditional analytics and machine learning workloads..
• Data Quality & Operations.
• Validation & Cleaning: Implement automated scripts to ensure high data integrity, reliability, and performance across the platform..
• Cloud Optimization: Assist in monitoring cloud resource usage (GCP/AWS) to ensure cost-efficiency and low-latency data access..
• Engineering Collaboration: Work closely with senior engineers to document data lineage and ensure the architecture is built for long-term scalability..
• Experience: Entry-level to 2 years of experience in data engineering, backend development, or a related technical internship.
• Portfolio: Demonstration of coding ability through a Github repository or a portfolio of data projects (e.g., building a personal API, a data scraper, or a small-scale ETL project)..
• Education: Bachelor s degree in Computer Engineering, Computer Science, Statistics, or a related technical field..
• Python: Solid foundation in writing clean, modular Python code.
• SQL: Proficiency in writing and optimizing complex queries for data analysis.
• Cloud Knowledge: Familiarity with at least one major cloud provider (GCP or AWS) and basic understanding of services like BigQuery, Redshift, or S3.
• AI Awareness: Interest in how data engineering supports AI; basic knowledge of unstructured data or vector search is a plus..
• What We Offer.
• Hands-on Multi-Cloud Experience: Get direct exposure to large-scale data environments on GCP/AWS and modern orchestration tools..
• Innovative Tech Stack: Work with cutting-edge tools at the intersection of Big Data and AI, including Vector DBs and automated data quality frameworks..
• Growth & Mentorship: A supportive environment where you will learn from senior engineers and have a clear path for professional development..
• Impactful Work: See your data pipelines directly power real-time marketing decisions and AI-driven products..
• If you re ready to build the data foundation for the next generation of AI, apply now!.

Skills:

ETL, Compliance, SQL

Job type:

Full-time

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

Skills:

Power BI, Tableau, Finance, English

Job type:

Full-time

• Collect, clean, and analyze data from sales, marketing, and CRM systems.
• Build and maintain dashboards and performance reports (Power BI, Tableau, or Google Data Studio).
• Monitor and evaluate campaign results, product performance, and sales trends.
• Provide data-driven insights to support marketing strategies and business planning.
• Collaborate with sales, finance, and product teams to align business insights.
• Ensure data accuracy and consistency across all reports.
• Bachelor s degree in Business Analytics, Data Science, Statistics, Economics, or related field.
• At least 3 years of experience in data analysis, business intelligence, or commercial analytics.
• Strong skills in Excel, SQL, and data visualization tools (Power BI, Tableau, or Google Data Studio).
• Experience with CRM and marketing analytics tools is a plus.
• Analytical, detail-oriented, and comfortable presenting insights to management.
• Good command of English and Thai, both written and spoken.

Job type:

Full-time

• Department: Data Commercialization.
• As a data analyst in Infinitas, you would expect a new level of analytical experiences here. Being part of Data Innovation team, your goal is to make data useful for all stakeholders. Under the big umbrella of the leading bank in Thailand, Infinitas leverage the largest financial data sets from both traditional banking and mobile banking services. From customer digital footprint to branch, ATM and call center. We measure every single touch point to improve customer service and business performance. ...
• Job Responsibilities.
• Conduct data inventory research with product owner, business owner and IT BA to gain full understandings of data availability.
• Communicate with business owners to translate business problem/challenge into actionable analytical solution.
• Initiate EDA ideas to tag hidden opportunities for customer, product, channel and other various areas.
• Analyse digital and traditional user journey funnel and customer persona.
• Visualise data for fast decision making and insight interpretation.
• Define customer segmentations for strategy planning and marketing targeting.
• Plan holistic A/B testing campaigns to evaluate data values on business impact.
• Design and fulfill monitoring dashboards and automated reports.
• English as working language.
• Minimum of 3 years data analytics related working experiences.
• At least 1 year of working experience directly communicate to business team.
• Proficient in Python or SQL.
• Advanced hands on experiences with visualization tool.
• Strong communication and analytical thinking skills.
• Good balance of data and business knowledge.
• Fintech or banking industry.
• Internet companies with mobile application.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. 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.

Experience:

3 years required

Skills:

ETL, SQL, SSIS, English

Job type:

Full-time

• 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!

Skills:

Assurance, Excel, SQL, English

Job type:

Full-time

• Perform Anti-Financial Crime (AFC) data analytics (including AML and FATCA/CRS) to identify anomalies, potential risks, and system gaps across business processes.
• Validate system configurations and data controls to ensure full alignment with AFC regulatory requirements and internal compliance standards.
• Analyze complex datasets to detect trends, patterns, and emerging risks, and translate findings into actionable insights for risk mitigation.
• Conduct quality assurance (QA) reviews on AFC-related processes and high-risk cases to ensure accuracy, completeness, and compliance with policy and regulatory requirements.
• Document findings and escalate material issues with clear, actionable recommendations to strengthen controls and improve compliance effectiveness.
• FATCA Case Management & Questionnaire Review.
• Review and consolidate FATCA Questionnaire responses from Underwriting (UI), Policy Owner Services (PO), and Claims departments for COO approval prior to submission to Compliance.
• Review and summarize FATCA cases recorded in the manual log, ensuring completeness and accuracy of case documentation.
• Maintain organized records of all FATCA-related activities to support audit readiness and regulatory reporting.
• Management Information (MI) Reporting.
• Prepare analytical reports for Management and Compliance (BU Report) covering alerts backlog, system stability, and data reconciliation exceptions.
• Generate MI (Management Information) report and distribute to Group Office management team (GO Report) on a regular cadence.
• Deliver BU and GO analytical & MI reporting to senior management (BU CEO, CTO, Head of Data, COO, CCO).
• Design and develop reports and dashboards to visualize risk and compliance metrics in a clear, digestible format for executive audiences.
• Cross-Functional Collaboration & Continuous Improvement.
• Drive cross-functional collaborations with Technology, Data, Operations, and Compliance to strengthen data analytics capabilities and support business decision-making.
• Proactively identify opportunities to improve data quality, reporting efficiency, and analytical processes.
• Create and maintain documentation including requirements, data definitions, business rules, and Standard Operating Procedures (SOPs).
• Bachelor's degree or higher in Computer Science, Data Science or related fields.
• At least 5 years in data analytics, business intelligence, or MIS role, preferably in insurance or financial services.
• Experience with AML/CTF/FATCA/CRS regulatory frameworks is highly preferred.
• Preferred Certified Anti-Money Laundering Specialist (CAMS) or relevant AML/Compliance certification.
• Skilled in Advanced Excel, SQL, Power BI and RPA (UiPath and/or Power Platform).
• Excellence communication in Thai and English (Need to communicate with Group office in HK).

Skills:

SAP, Good Communication Skills, Analytical Thinking

Job type:

Full-time

• Design, implement and deploy SAP solutions to achieve defined business goals.
• Be part of the project deliver team, leading and support implementation.
• Responsible to create requirement traceability matrix, design documents, test scripts.
• Drive discussion with client business during blueprint phase to gather requirements, solution design sign off, demo of configured solution, final UAT sign off.
• Maintain skills in SAP applications process design and configuration.
• SAP application design, development, integration, testing, deployment and technical architecture.
• Use Data Services to support client.
• Manage small teams and or work efforts if in an individual contributor role at a client or within Accenture.
• At least 3 years of experience in SAP modules such as FICO, FI-Treasury, FM, CO, MM, PS, PM and Data Migration or other SAP modules.
• Experience with S/4 Hana is preferred.
• Have good communication skills.
• Have good logical and analytical thinking.
• We're hiring Analyst to Senior Manager Levels.

Skills:

SQL, Power BI, Python

Job type:

Full-time

• วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
• วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
• จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
• พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
• ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
• ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
• สำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
• สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
• มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
• มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะที่จำเป็นSQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking..

Skills:

Statistics, SQL, Excel

Job type:

Full-time

• Analyze collections portfolio performance (e.g., delinquency rates, roll rates, recovery rates) and provide actionable insights.
• Develop and maintain dashboards and reports to track collections KPIs and agent performance.
• Identify trends, risk segments, and behavioral patterns to improve collections strategies.
• Support strategy design such as segmentation, prioritization, and treatment optimization.
• Collaborate with Collections teams to translate business needs into analytical solutions.
• Perform ad-hoc analysis to support decision-making and ongoing initiatives.
• Ensure data accuracy, integrity, and consistency across reporting systems.
• Automate reporting processes to improve efficiency and reduce manual work.
• QualificationsBachelor s degree in Data Analytics, Statistics, Mathematics, or a related field.
• 2-4 years of experience in data analysis (experience in collections, banking, or financial services is a plus).
• Strong proficiency in SQL and Excel; experience with Python, R, or BI tools (e.g., Power BI, Tableau) is preferred.
• Good understanding of collections business is an advantage.
• Strong analytical thinking and problem-solving skills.
• Ability to communicate insights clearly to non-technical stakeholders.
• Detail-oriented with a high level of accuracy.

Job type:

Full-time

• About the Role.
• We're looking for a Data Analyst Junior or Senior to join our MarTech & Data Intelligence team. You'll work with Marketing, Operations, and Product to turn behavioral and transactional data into insights that drive campaign performance, smarter segmentation, and lifetime value growth.
• If you're sharp, meticulous, and energized by making data work harder for the business we'd love to meet you.
• Analyze customer journeys, marketing funnel performance, and campaign effectiveness across digital channels.
• Build and maintain marketing dashboards and intelligence reports to accelerate insight delivery for stakeholders.
• Develop and maintain customer segmentation models and audience definitions to support campaign, strategy, personalization, and lifecycle marketing.
• Use AI tools, prompt engineering, and LLM integrations to turn hours of reporting into minutes.
• Work with cloud data platforms to query, process, and manage large-scale customer and event datasets.
• Design and evaluate A/B tests and marketing experiments, synthesizing results into clear and actionable recommendations.
• Partner with MarTech, Marketing and Product teams to define tracking requirements and validate data from campaign and marketing platforms.
• Perform rigorous data quality checks and maintain clear documentation of metrics, data sources, and transformation logic.
• Proactively surface anomalies in customer data traffic drops, conversion shifts, attribution gaps before they affect decisions.
• Who you are.
• 3-4 years of experience in data analysis, ideally in a marketing analytics, growth, or customer intelligence function within FinTech, Banking, or Digital Products.
• Strong SQL skills able to write complex queries confidently and always validate output before sharing with stakeholders.
• Proficiency in Python or Pyspark for data wrangling, cohort analysis, and statistical testing.
• Experience in prompt engineering or LLM integrations applied to real analytics use cases.
• Familiarity with cloud platforms for querying and managing large-scale datasets.
• Comfortable using AI productivity tools to enhance reporting workflows, draft insight narratives, and speed up exploratory analysis.
• Understanding of digital marketing measurement: attribution models, funnel metrics, cohort LTV, and campaign KPIs.
• Ability to manage shifting priorities and deliver accurate work under deadline pressure.
• Clear communication skills with both technical and non-technical stakeholders.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. 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.

Job type:

Full-time

• Implementing and maintaining the deterministic or stochastic Prophet model, data conversion system, and database infrastructure to support actuarial analysis and reporting processes.
• Providing support in the Prophet modelling and data delivery processes to facilitate the fast-close initiative.
• Implementing new products into the deterministic Prophet model and enhancing the data conversion system and/or database infrastructure to support the new product implem ...
• Providing support to facilitate the implementation and testing of ad-hoc model and data change requests and/or project deliverables.
• Investigating, testing and resolving the Prophet model and/or data issues associated with new product implementation, ad-hoc model and data change requests, etc.
• Identifying and communicating about risks and issues in the Prophet modelling and data delivery processes.
• Preparing documentation of changes to the Prophet model, data conversion system, and database.

Experience:

5 years required

Job type:

Full-time

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 5 years of Electrical experience (electrical testing equipment or electrical distribution) in an industrial or commercial environment.
• Ability to participate in material handling tasks such as lifting, carrying or moving up to 50 lbs (23 kg) of equipment, the required use of safety equipment such as limited weight bearing work platforms, ladders, step stools and personal protective eq ...
• Ability to work non-standard hours and work rotations/shifts.
• 5 years of experience in maintenance of electrical distribution systems or construction/technical environment or a related field.
• Experience in data centers, hospitals, or power plants.
• Knowledge of electrical systems used in a data center environment (e.g., Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units).
• Knowledge of meters, devices, sensors, and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment.
• Ability to communicate with contractors who perform maintenance or upgrade work on the data center systems.
• The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components).
• As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.
• As a Facilities Technician, you will operate, monitor, and support physical facilities conditions for our data centers.
• The AI and Infrastructure team is redefining what s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
• We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
• Inspect, maintain, and repair various data center systems.
• Provide daily assistance to technicians, read blueprints/schematics/sequence of operations, conduct tours of systems, and assess their working order.
• Manage the uptime and maintenance of UPS, generators, electrical distribution, and control and monitoring systems.
• Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
• Support startup, commissioning, and integration of new electrical equipment and systems into facilities infrastructure.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Job type:

Full-time

• Department: Data Commercialization.
• Data Innovation team under Infinitas is a centralized data enabler to serve both digital and traditional arms of Krungthai Bank. Working as a data scientist here, you would be able to leverage huge amount of financial transaction and customer digital footprint data to improve our personalized solutions accessed by more than 40 million customers. Over a wide range of undergoing projects, there are many interesting ML tasks waiting for you. These cover recommendation, optimization, and prediction solu ...
• Job Responsibilities.
• Brainstorm with Business User and Data Analyst to propose practical ML solution for solving business problems.
• Translate problem statement into model requirements and action plans.
• Adopt agile development approach to deliver prompt solutions phase by phase.
• Conduct EDA and feature engineering from both raw and aggregate data sources.
• Maintain, enrich, and expand ML data feature pools.
• Develop quantitative models to solve estimation, prediction, or optimisation problems.
• Work with experienced business experts to develop heuristic models to handle cold start or insufficient data situations.
• Design complete score validation framework throughout the model life cycle.
• Measure model performance and monitor feature shifting in production environment.
• Work with ML Engineer or Data Engineer to optimise scoring processing time.
• English as working language.
• Minimum of 3 years of data field working experiences.
• At least 1-year hands-on modeling experiences.
• Proficient in Python, good at SQL.
• Strong logical thinking and creative thinking.
• Independently work on end-to-end ML process.
• Solid record of successful model development with business impact in production.
• Fintech, big tech or banking industry.
• Real time ML model deployment experiences.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. 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.

Experience:

5 years required

Skills:

Compliance, Risk Management, English

Job type:

Full-time

• Bachelor's degree in Fiscal Affairs, Construction, Communications, Business Support, or equivalent practical experience.
• 5 years of experience managing, sourcing, or procuring business resources and vendors.
• 5 years of experience in fiscal affairs, construction, communications, business support, or security management, or equivalent practical experience.
• Ability to communicate in English and Thai fluently to support local stakeholders.
• 5 years of experience coordinating or managing resources for data center locations, and leading operational or project based work and tasks.
• Knowledge of physical security, current security technology, including access control and CCTV.
• Ability to work in an environment that is dependent on systems and technology on a daily basis.
• High ethical standards and the ability to handle confidential and sensitive information.
• As a Data Center Security Manager, you deliver full pieces of a project and make significant contributions with minimal guidance. You use your knowledge of security technology, data analysis, and data visualization to plan efforts of a team responsible for small to medium sized initiatives by delivering value-added perspectives and influencing project direction. You contribute to cross-team collaborations, identify and recommend multiple creative ways to solve defined problems. You also demonstrate the behaviors expected of all Googlers as captured in Google's cultural pillars, and you engage in community contributions to improve and sustain our culture and operations, making Google a better place to work.
• The Data Center Compliance, Safety, and Risk Management (CSRM) team at Google is responsible for safeguarding the people and assets within Google's global critical infrastructure. This team comprises industry-leading professionals who utilize advanced security systems, dedicated guarding forces, and comprehensive risk management and compliance framework programs to support all Google Data Centers. Deliver and operate the safest, most secure, and resilient technical infrastructure through a comprehensive compliance, safety, and risk management program.
• In the role of Data Center Security Manager, you will oversee the risk program, encompassing physical security, crisis response, and compliance functions specific to the data center or associated infrastructure.
• Be responsible for leading the global security program for designated locations. This includes assuming overall responsibility for the daily supervision and oversight of vendors specializing in security, training, and risk management.
• Offer fiscal affairs, construction, communications, or business support duties to security managers across designated metro and/or areas.
• Provide cross-functional teams with the support needed to achieve objectives.
• Develop and execute cross-metro or area strategies. Focus on optimizing operational efficiency, reducing costs, and upholding a strong security posture.
• Function as the principal escalation point for security incidents at designated locations that present significant challenges in terms of resolution. Ensure technical infrastructure locations meet all regional governmental and regulatory security requirements.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Experience:

3 years required

Skills:

Business Statistics / Analysis

Job type:

Full-time

• อายุไม่เกิน 40 ปี บริบูรณ์ (นับถึงวันที่ปิดรับสมัคร).
• สามารถวิเคราะห์ข้อมูลทางธุรกิจ (Business Analytics) หรือการจัดทำข้อมูล (Data Engineer) หรือการวิเคราะห์ข้อมูล (Data Scientist / Data Analytics) เกี่ยวกับข้อมูลด้านบุคลากรของสถาบันการเงินหรือองค์กรขนาดใหญ่ และการบริหารจัดการระบบ HRIS ของสถาบันการเงินหรือองค์กรขนาดใหญ่.
• ไม่น้อยกว่า 3 ปี สำหรับผู้จบปริญญาตรี หรือ.
• ไม่น้อยกว่า 2 ปี สำหรับผู้จบปริญญาโท.
• มีความสามารถในกระบวนการแปลงข้อมูลที่ซับซ้อน และการแสดงภาพข้อมูล (Data Visualization) และการเล่าเรื่องด้วยข้อมูล (Data Storytelling) หรือการสื่อสารข้อมูลเชิงลึก (Data Insight)
• ผ่านการใช้งานเครื่องมือ SQL / Python / Power Query / Power BI / Tableau / Data Studio เป็นต้น ได้เป็นอย่างดี.
• มีความรู้ความเข้าใจระบบจัดการฐานข้อมูล (DBMS) หรือสามารถใช้งานฐานข้อมูล SQL Server
• เพื่อการการวิเคราะห์ข้อมูลได้.
• มีทักษะในการใช้คอมพิวเตอร์โปรแกรม Microsoft Office หรือเทคโนโลยีสารสนเทศ เช่น AI, Machine Learning, n8n, Power Automate เป็นต้น.
• มีทัศนคติเชิงบวก มีความรับผิดชอบสูง ทำงานเป็นทีม มีมนุษสัมพันธ์ดี มีทักษะการสื่อสาร ประสานงานที่ดี และวิเคราะห์ปัญหาได้ดี.
• มีความกระตือรือร้นในการศึกษาหาความรู้ด้านเทคโนโลยีสารสนเทศที่เกี่ยวข้องกับงาน
• และพัฒนาตนเองอยู่ตลอดเวลา.
• หากมีประสบการณ์ในการวิเคราะห์ข้อมูล และการบริหารจัดการระบบ HRIS หรือการพัฒนาระบบงาน HR Dashboard ภายในองค์กรขนาดใหญ่/องค์กรรัฐ/สถาบันการเงิน จะได้รับการพิจารณาเป็นพิเศษ.
• สามารถสมัครได้ที่: https://recruit.ghbank.co.th/sap/bc/webdynpro/sap/hrrcf_a_startpage_ext_cand?sap-client=900&sap-language=TH.
• ทั้งนี้ เปิดรับสมัครถึงวันที่ 27 กรกฎาคม 2569 เท่านั้น.

Experience:

8 years required

Skills:

Compliance, English

Job type:

Full-time

• Bachelor's degree in a technical field or equivalent practical experience.
• 8 years of experience in data center operations or other relevant operational experience in non data center industries (e.g., power generation, HVAC and refrigeration, industrial manufacturing, military, oil and gas, maritime/marine, chemical cluster, etc.).
• 5 years of experience managing technical teams and vendors in charge of operating, maintaining, and troubleshooting electrical, mechanical, and controls infrastructure ...
• Ability to communicate in English fluently, to support client relationship management in this region.
• Experience collaborating with other business units to meet company goals and standards.
• Understanding of the operations and maintenance of electrical, control systems, and mechanical systems in a data center environment.
• Ability to set, prioritize, and achieve business objectives.
• Ability to develop and grow team members, through coaching, mentoring, and training.
• Ability to communicate in Thai fluently to support client relationship management in this region.
• The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facility Technicians at Google data centers operate, monitor and support physical facilities conditions. Some duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components). You'll provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.
• You will develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.
• The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.
• Lead efforts to perform compliance activities for a data center and analyze compliance results for data centers globally. Ensure regional and global teams are complying with project/schedule guidelines and Google design standards.
• Drive efforts to monitor data center systems operations, control site activities to minimize risk, and to ensure effective response to any excursions.
• Drive efforts to ensure sites are following facility, maintenance, and standard programs globally while exhibiting strength in improvement to said policies and programs.
• Lead the development of strategies to keep operational costs to a minimum, improve efficiency, and reduce environmental impact at a site, along with driving site-level development of programs and initiatives.
• Incorporate subject matter expertise and experience to make recommendations for data center design improvements to optimize equipment and operations for next generation data centers.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Skills:

SQL, Visio, Microsoft Office

Job type:

Full-time

• For all RDT s requirement and enhancement, Provide data availability analysis, data source, data extraction criteria, sign off all the RDT changes, testing and ensure the correct result, together with related Domain expert, Data owner and support functions.
• Propose solutions to resolve issues/requirements and confirm final data extraction logic with IT-RDT team.
• Support and/or manage day-to-day DQ issue and/or questions from BOT, and provide sol ...
• Maintain RDT Center parameters.
• 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 more than 6 years for team lead.
• Experience in regulatory data management,its relationship and dependencies.
• Well-versed in banking industry knowledge and strong in data-related skills for senior / team leader level.
• Well-versed in RDT regulation literacy.
• Advance Business Analytical skill, Business Rules and Business Solutions.
• Advance Data Model Mindset.
• Advance SQL/ Visio.
• Microsoft Office: Excel/ Word/ Power Point.
• Data profiling with variety data sources.
• Ad-hoc management.
• Well interpersonal skill with IT/Domain Expert/Data Owner.
• 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
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• 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).

Skills:

Accounting, English

Job type:

Full-time

• Bachelor s degree of Business Administration business, Financial, Economics, Accounting.
• Experience in Banking industry at least 1 years.
• Good command of English.
• FB: Krungsri Career (http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120..

Skills:

SQL, Python, SAS

Job type:

Full-time

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment..

Skills:

Statistics, Big Data, Python

Job type:

Full-time

• Formulates advance data analytic, predictive analytic to proactively solve problems and/or create solutions for future business needs (Krungsri Auto App).
• Data Cleansing and Processing-massage and organize data for further advance analytic.
• Correlate disparate datasets.
• Develop new analytical methods and machine learning models (Personalized offering, Event trigger on App).
• Identify new business questions that can add value to organization.
• Conduct causality experiments by applying A/B experiments or any sciences-based approach to identify what best for determined business objectives.
• Discover and create new data features leading to data solutions creation.
• Using data visualization technique and presenting clear outcome as storytelling.
• Apply now if you have these advantages.
• Bachelor degree in Computer Science, Mathematics Science, Statistics Science, Computer Engineering or whoever having confident and ability enough to called self as Data Scientist.
• Must have experience in personalize recommendation and offering for mobile application users.
• 5+ years of experience in Telecom, Banking, Financing and Insurance preferred having 2 industries from the lists.
• 2+ years of experience in Big Data or AI/ML projects.
• 2+ years of experience in Enterprise Data Warehouse and/or data mining.
• Experience in solving business questions projects.
• Strong in Mathematics & Statistics.
• Strong in programming skill: prefer R, Python, SQL.
• 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
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• 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).