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Experience:

3 years required

Skills:

Data Analysis, Python, SQL, English

Job type:

Full-time

• Analyze and organize raw data.
• Combine raw information from different sources.
• Designing and building data models to support business requirements.
• Developing and maintaining data ingestion and processing systems.
• Implementing data storage solutions. (databases and data lakes).
• Ensuring data consistency and accuracy through data validation and cleansing techniques.
• Conduct complex data analysis and report on results.
• Explore ways to enhance data quality and reliability.
• Working together with cross-functional teams to identify and address data-related issues.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Bachelor or Master Degree in Computer Science, Software Engineering, Computer Engineering ICT, IT or any related technical field.
• 3 - 6 years of experience as a data engineer or in a similar role.
• Experience with schema design and dimensional data modeling.
• Experience and knowledge in Python development.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience designing, building, and maintaining data processing systems.
• Experience with orchestration tools e.g. batch and real-time data processing.
• Experience with CICD pipeline data.
• Experience with big data.
• Familiarity with data integration and ETL tools.
• Strong problem-solving and analytical skills.
• Able to speak Thai fluently and basic command in English.

Skills:

Compliance, Product Development, Research

Job type:

Full-time

• Develop, implement, and enhance data privacy policies, procedures, and frameworks to ensure regulatory compliance.
• Collaborate with internal and external stakeholders to integrate privacy requirements into business operations and new initiatives.
• Provide guidance on privacy-related considerations in product development, partnerships, and third-party engagements.
• Lead and conduct regular audits, risk assessments, and compliance reviews to ensure adherence to data privacy laws, regulations, and internal policies.
• Identify compliance gaps, recommend corrective actions, and oversee the implementation of remediation efforts.
• Maintain records of compliance activities and support reporting to senior management and regulatory bodies.
• Investigate, document, and manage data privacy incidents, including breaches, and support resolution efforts in collaboration with relevant teams.
• Assist in preparing reports for regulatory authorities, executive leadership, and internal reviews.
• Develop and enhance incident response protocols and escalation procedures.
• Conduct in-depth research on data privacy laws, emerging regulatory trends, and industry best practices across multiple jurisdictions.
• Provide legal analysis and recommendations to support policy updates and business decision-making.
• Monitor legislative developments and assess their impact on the organization.
• Design and deliver training programs to promote data privacy awareness and compliance across all levels of the organization.
• Create educational materials, guidelines, and internal communications to reinforce data protection best practices.
• Act as a subject matter expert and advisor on privacy-related concerns.
• Bachelor s degree in Law. A Master s degree or relevant certification.
• 3-6 years of experience in data privacy, compliance, legal advisory, or risk management roles.
• Strong understanding of data protection regulations such as GDPR, PDPA, CCPA, or other relevant laws.
• Experience conducting audits, risk assessments, and privacy impact assessments (PIAs).
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
• Important: Candidate Privacy Policy.
• สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน*.
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Skills:

Sales, Marketing Strategy, Statistics

Job type:

Full-time

• Analyze consumer behavior, market trends, and competitor data, and provide data-driven recommendations for business expansion or marketing strategy development.
• Collect sales, operational, and marketing data from internal and external sources to assess the impact of marketing campaigns and forecast business opportunities.
• Update and maintain accurate databases, and create analytical reports (Dashboards) to present data to management.
• Coordinate with marketing, sales, and other departments to gather information for analysis and address the needs of the organization.
• Bachelor's degree or higher in Data Science, Marketing, Statistics, or a related field.
• At least 2-3 years of experience in data analysis. Experience in retail business will be considered an advantage.
• Proficiency in data analysis tools such as Excel, SQL, Power BI, Tableau, or Python.
• Strong analytical skills and the ability to solve problems in a systematic manner.
• Good presentation and communication skills to convey complex information clearly.
• Attention to detail and the ability to work under pressure.
• Able to start working immediately is the priority**.

Skills:

Product Owner, Scrum, Project Management

Job type:

Full-time

• Collaborating with prospective users and clients to understand and anticipate their needs and translate them into product requirements.
• Defining the vision for the product team and maintaining a cohesive vision throughout the process.
• Creating a product road map based on this vision.
• Managing the product backlog and prioritizing the tasks based on changing requirements.
• Overseeing all stages of product creation, including design and development.
• Monitoring and evaluating product progress at each stage of the process.
• Working with the product team and end-users to deliver updates and status reports.
• Participating in Scrum meetings and product sprints.
• Bachelor degree.
• At least 4 years of working experience.
• At least 2 years of working experience in Project Management.
• In-depth knowledge of Scrum and Agile Software Development Methodology.
• Working knowledge of product development architecture.
• Proficiency in the use of analytic tools and strong analytical thinking.
• Ability to prioritize effectively.
• Contact Information:-.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Lao Peng Nguan Building, Tower 1.
• 333 Vibhavadi Rangsit Road, Ladyao Subdistrict, Chatuchak District, Bangkok 10900.

Skills:

ETL, Compliance, SQL

Job type:

Full-time

• Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into a centralized data warehouse or data lake.
• Integrate data from different sources, such as databases, APIs, and third-party applications, ensuring data consistency and accuracy.
• Create and maintain data models and schemas to facilitate data storage and retrieval, following best practices for data warehousing and database management.
• Implement data quality checks and validation processes to ensure data accuracy, completeness, and consistency.
• Optimize data pipelines and systems for performance, scalability, and efficiency, making sure data processing meets business requirements.
• Implement data security measures to protect sensitive information and ensure compliance with data privacy regulations (e.g., GDPR, HIPAA).
• Document data engineering processes, data lineage, and system architecture to facilitate knowledge sharing and future maintenance.
• Set up monitoring and alerting systems to detect and address issues with data pipelines and systems proactively.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data needs and provide the necessary infrastructure and support.
• Stay up-to-date with the latest data engineering technologies and tools, and evaluate their applicability to the organization's data stack.
• Bachelor's degree in computer science, information technology, or a related field. A master's degree is a plus.
• Strong proficiency in data engineering tools and technologies, such as SQL, ETL frameworks (e.g., Apache Spark, Apache Airflow, Apache Beam).
• Experience with Google BigQuery for data warehousing.
• Experience with Google Cloud Dataflow or Dataproc.
• Experience with programming languages like Python, Java, or Scala.
• Experience with building streaming data pipelines on Google Cloud.
• Knowledge of database design, data modeling, and data integration techniques.
• Familiarity with data governance, data security, and compliance standards.
• Problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• 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.

Skills:

Scrum, Project Management, Product Owner, English

Job type:

Full-time

• Banking and/or Financial Services industry experience (Core Banking / Core) OR Data & AI is required.
• Minimum Bachelor s degree or equivalent.
• At least 6 years of industry/ consulting experience (depending on seniority).
• Prior experience in business process improvements, operating model, business analysis. However, prior experience in other roles can be considered.
• Prior experience in Waterfall and/or Agile Methodologies will be ideal (ITIL, Scrum, etc would be an advantage).
• Strong application project management skill and design knowledge.
• Functional.
• Conversant in Thai & English (as this role will be interfacing with Thai stakeholders who are versed in Thai & English language).
• Ability to work in a team environment delivering quality software that meets requirements working to a timeline.
• Ability to articulate and clearly communicate complex problems and solutions in a simple and logical manner.
• Well-developed analytical skills and the ability to provide clarity to complex issues and synthesize large amounts of information.
• Able to work independently.
• Consulting and partnering with our clients to help them develop high performance industry, functional and/or digital solutions to advance their industry position.
• Act as the single point of contact for both internal and external parties to ensure smooth and consistent communication flow of business/functional requirements.
• Facilitate and drive functional workshops to drive desired design outcomes.
• Gather and analyze business requirements and translate them into functional requirements specification or user stories.
• Assess and evaluate business process, business model, and organization to identify areas of improvements, define/propose potential business and technology solution to enhance business performance.
• Define customer journey and/or operational process to serve full life cycle of banking-related process.
• Assist the product owner with creating and maintaining a healthy and ordered product backlog.
• Provide supports to other workstream such as development, testing and deployment activities.
• Communicate with other teams and stakeholders to identify, monitor and resolve functional dependencies.
• All our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You ll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career..
• Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion, or belief, ethnic or national origin, disability, age, citizenship, marital, domestic, or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law..
• The Organization.
• Accenture is an Irish-domiciled multinational professional services company that provides services in:.
• 1) Technology.
• 2) Strategy & Consulting.
• 3) Interactive.
• 4) Operations.
• As a Fortune Global 500 company, it has been incorporated in Dublin, Ireland since September 1, 2009.
• With more than 500,000 employees worldwide in 200 cities across 51 countries Accenture also operates more than 100 innovation hubs, developing solutions for cloud, finance, and other industries..
• The Pillar.
• The Groups.
• Accenture Banking & Consulting / Financial Services.
• Technology has changed the way people and businesses bank, and traditional strategies no longer work. Now is the time for bold new approaches to intensifying disruption.
• Segments.
• Retail Banking - Helping banks deliver winning experiences using the latest technology and the best of data, analytics and talent to make better decisions day to day.
• Commerical & Corporate Banking - Helping banks deliver winning experiences using the latest technology and the best of data, analytics and talent to make better decisions day to day.
• Central Banks & Regulators - Leveraging new technology, data and a lean operating model to maximize market efficiency and better regulate the industry.
• Specialty Finance - Profiting from the convergence of industries to provide custom lending experiences through advanced analytics and integrated digital processes.
• Payments - Helping banks and specialist providers create value-added payments products and services for clients across retail, public service, travel and more.

Skills:

Research, Automation, Statistics

Job type:

Full-time

• Work on Data Architecture. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
• Collect Data. Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.
• Conduct Research. Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Bachelor Degree in IT, computer science, statistics, mathematics, business, or related field.
• Minimum of 3 years' experience in data engineer roles.
• Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
• Experience with data tools and languages like CLOUD, Python, Java similar.
• Experience with data processing, ETL and workflow and messaging queue like Kafka.
• Data Warehousing.
• Data Structure.
• ETL Tools Programming Languages (Python, Java, Pyspark).

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,model,generative AI.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment.

Skills:

Compliance, Research, Automation

Job type:

Full-time

• DataOps, MLOps, and AIOpsDesign, build, and optimize scalable, secure, and efficient data pipelines for AI/ML workflows.
• Automate data ingestion, transformation, and deployment across AWS, GCP, and Azure.
• Implement MLOps and AIOps for model versioning, monitoring, and automated retraining.
• Ensure performance, security, scalability, and cost efficiency in AI lifecycle management.
• Performance Optimization & SecurityMonitor, troubleshoot, and optimize AI/ML pipelines and data workflows to enhance reliability.
• Implement data governance policies, security best practices, and compliance standards.
• Collaborate with cybersecurity teams to address vulnerabilities and ensure data protection.
• Data Engineering & System IntegrationDevelop and manage real-time and batch data pipelines to support AI-driven applications.
• Enable seamless integration of AI/ML solutions with enterprise systems, APIs, and external platforms.
• Ensure data consistency, quality, and lineage tracking across the AI/ML ecosystem.
• AI/ML Model Deployment & OptimizationDeploy and manage AI/ML models in production, ensuring accuracy, scalability, and efficiency.
• Automate model retraining, performance monitoring, and drift detection for continuous improvement.
• Optimize AI workloads for resource efficiency and cost-effectiveness on cloud platforms.
• Continuous Learning & InnovationStay updated on AI/ML advancements, cloud technologies, and big data innovations.
• Contribute to proof-of-concept projects, AI process improvements, and best practices.
• Participate in internal research, knowledge-sharing, and AI governance discussions.
• Cross-Functional Collaboration & Business UnderstandingWork with business teams to ensure AI models align with organizational objectives.
• Gain a basic understanding of how AI/ML supports predictive analytics, demand forecasting, automation, personalization, and content generation.
• Bachelor s degree in Computer Science, Data Engineering, Information Technology, or a related field. Advanced degrees or relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer) are a plus.
• Experience:Minimum of 3-5 years experience in a data engineering or operations role, with a focus on DataOps, MLOps, or AIOps.
• Proven experience managing cloud platforms (AWS, GCP, and/or Azure) in a production environment.
• Hands-on experience with designing, operating, and optimizing data pipelines and AI/ML workflows.
• Technical Skills:Proficiency in scripting languages such as Python and Bash, along with experience using automation tools.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) is desirable.
• Strong knowledge of data processing frameworks (e.g., Apache Spark) and data pipeline automation tools.
• Expertise in data warehouse solutions and emerging data lakehouse architectures.
• Experience with AWS technologies is a plus, especially AWS Redshift and AWS SageMaker, as well as similar tools on other cloud platforms.
• Understanding of machine learning model deployment and monitoring tools.

Job type:

Full-time

• การกำกับดูแลข้อมูล (Data Governance)
• นำการดำเนินงานด้านกรอบการกำกับดูแลข้อมูล นโยบาย และกระบวนการที่กำหนดโดยองค์กร
• ทำงานร่วมกับเจ้าของข้อมูลและผู้ดูแลข้อมูลเพื่อกำหนดมาตรฐานข้อมูล แนวปฏิบัติในการจัดการข้อมูล และแนวทางการใช้งานข้อมูล
• ตรวจสอบให้สอดคล้องกับข้อกำหนดด้านกฎหมายและมาตรฐานที่เกี่ยวข้อง (เช่น GDPR, PDPA).
• การจัดการคุณภาพของข้อมูล (Data Quality Management)
• กำหนดและติดตามตัวชี้วัดคุณภาพข้อมูล (เช่น ความถูกต้อง ความครบถ้วน ความทันเวลา)
• ใช้เครื่องมือและกระบวนการจัดการคุณภาพข้อมูลเพื่อแก้ไขความผิดพลาดและพัฒนาความน่าเชื่อถือของข้อมูล
• ประสานงานกับหน่วยงานธุรกิจเพื่อแก้ปัญหาและป้องกันปัญหาคุณภาพข้อมูลในอนาคต.
• การจัดการเมตาดาต้าและข้อมูลหลัก (Metadata and Master Data Management)
• พัฒนาและดูแลคลังเมตาดาต้าและพจนานุกรมข้อมูลขององค์กร
• ดูแลการจัดการข้อมูลหลัก (Master Data) เพื่อให้ข้อมูลมีความสอดคล้องในระบบและกระบวนการ.
• การทำงานร่วมกับผู้มีส่วนได้ส่วนเสีย
• เป็นตัวกลางระหว่างหน่วยงานธุรกิจ ทีมไอที และทีมกำกับดูแล เพื่อสร้างวัฒนธรรมความรับผิดชอบต่อข้อมูล
• เป็นผู้นำในการจัดประชุมคณะกรรมการกำกับดูแลข้อมูลและกลุ่มทำงาน
• จัดอบรมและให้การสนับสนุนแก่ผู้มีส่วนได้ส่วนเสีย เพื่อยกระดับความเข้าใจในข้อมูลและปฏิบัติตามแนวทางการกำกับดูแล.
• การบริหารจัดการความเสี่ยงและการปฏิบัติตามกฎระเบียบ
• ระบุความเสี่ยงที่เกี่ยวข้องกับข้อมูลและเสนอแนวทางการแก้ไข
• ตรวจสอบให้การใช้งานข้อมูลสอดคล้องกับเป้าหมายขององค์กร กฎหมาย และมาตรฐานทางจริยธรรม
• เป็นผู้นำในการตรวจสอบและประเมินผลด้านการกำกับดูแลข้อมูล.
• มีประสบการณ์ทำงานที่เกี่ยวข้องกับการกำกับดูแลและการจัดการคุณภาพของข้อมูล.
• ปริญญาตรีสาขาบริหารธุรกิจ วิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ เทคโนโลยีสารสนเทศ หรือ สาขาอื่น ๆ ที่เกี่ยวข้อง..
• ติดต่อสอบถาม.
• สำนักทรัพยากรบุคคล.
• บริษัท ดิจิทัล แอนด์ เทคโนโลยี เซอร์วิสเซส จำกัด.
• อาคารเล้าเป้งง้วน 1 333 ถนน วิภาวดีรังสิต จอมพล เขตจตุจักร กรุงเทพมหานคร 10900.

Skills:

Statistics, Excel, SQL, English

Job type:

Full-time

• 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.

Skills:

ETL, Python

Job type:

Full-time

• รวมข้อมูลดิบจากแหล่งข้อมูลต่างๆ ทั้งภายและภายนอก และสร้างอัลกอริทึมและสร้างต้นแบบ.
• การรวบรวมข้อมูลที่มีโครงสร้าง (Structured Data) และไม่มีโครงสร้าง (Unstructured Data) ประเมินความต้องการและวัตถุประสงค์ทางธุรกิจ.
• จัดระเบียบข้อมูลดิบ นำข้อมูลมาทำความสะอาด (Data Cleansing + Shaping + ETL) รวมถึงจัดเตรียมข้อมูลสำหรับการสร้างแบบจำลอง.
• ทำการ Explore Data ด้วย Data Visualization Tools.
• หาวิธีการปรับปรุงคุณภาพของข้อมูล และสร้างความน่าเชื่อถือของข้อมูลดูแนวโน้มและ Patterns.
• ใช้ AI/ML การทำนาย คาดการณ์ (Predictive) และรายงานผล.
• มีประสบการณ์พัฒนาแอปพลิเคชัน (Web หรือ Mobile) สำหรับ Data Analytics หรือ AI Model Deployment.
• ปริญญาตรี สาขา วิทยาการคอมพิวเตอร์ วิศวกรรมศาสตร์ คณิตศาสตร์ สถิติ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ในการทำ Data Visualization.
• มีประสบการณ์การใช้ Cloud Platform.
• มีประสบการณ์การใช้ Python เช่น Pandas, Numpy, Scikit-learn, Matplotlib and PyTorch.
• มีประสบการณ์ การใช้ Machine Learning เช่น regression, classification, clustering and association.
• มีความเข้าใจในสถิติข้อมูล.
• มีทักษะการนำเสนอ โดยสามารถนำความคิดที่ซับซ้อนมาทำให้เป็นรูปแบบที่เข้าใจง่าย.
• นักสื่อสารที่ดีพร้อมการจัดการผู้มีส่วนได้ส่วนเสียได้.
• มีทักษะการแก้ปัญหา.
• หากมีประสบการณ์พัฒนาแอปพลิเคชัน (Web หรือ Mobile) สำหรับ Data Analytics หรือ AI Model Deployment จะได้รับการพิจารณาเป็นพิเศษ.

Experience:

2 years required

Skills:

Python, SQL, Problem Solving

Job type:

Full-time

• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai
• We seek a skilled Data Scientist to enhance banking through advanced analytics and machine learning. Main responsibility will be transformed complex data into actionable insights and models for risk management, fraud detection, and customer experience optimization. Collaborate with cross-functional teams to implement data-driven strategies that improve business performance and risk management.
• Data Analysis and Modeling
• Develop predictive models for risk assessment and market analysis.
• Design machine learning algorithms for classification, regression and fraud detection.
• Create automated systems for customer behavior analysis.
• Strategic Leadership
• Identify opportunities for data-driven solutions with stakeholders.
• Present analytical findings to executive management.
• Education and Experience
• Bachelor s Degree or higher in Computer Science, Statistics, Mathematics, Engineer or related field.
• Minimum 2 years of experience in financial data science.
• Technical Skills
• Proficiency in Python, and SQL.
• Strong data analysis skills.
• Solid understanding of statistical analysis and modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Domain Knowledge
• Understanding financial markets and banking operations.
• Financial modeling and quantitative analysis expertise.
• Understanding basic fraud detection and anomaly detection.
• 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.

Skills:

Research, Data Analysis, Problem Solving

Job type:

Full-time

• Enable omni-channel customer journey and experience design.
• Operating model based on analytics practices.
• Digital enablement and platform implementation.
• You will support Deloitte and client s business growth by:Identifying client s business requirements / overall strategy and vision, and any opportunities for efficiencies in existing process / service design.
• Undertaking extensive desktop and on-the-ground research on various aspects relevant to our current and potential clients viz. market sizing, competitive benchmarking across channels, products, customer experience, digital capabilities, customer servicing, etc.
• Developing draft pitch proposals including storyboarding, data analysis, opportunity sizing, proposed team composition, project costing and fee estimates.
• Using tech, human-centered design thinking and innovative approaches to solve business needs.
• Participating in team problem solving efforts and offer ideas to solve client issues.
• Facilitating client workshops to complete current state assessment and providing basis for future state design and rollout planning.
• Conducting relevant research, data analysis, and create reports.
• Maintaining responsibility for quality, completion, and accuracy of work products.
• Assessing restructuring operating models, organizational structures, and business processes to streamline core operations service delivery.
• Assisting in proposal development, as requested.
• Actively expanding consulting skills and professional development through training courses, mentoring, and daily interaction with Deloitte colleagues and clients.
• As a Manager you will:Focus on the delivery of client work and lead a cross-service line team for major deliverables and projects. Take charge of fulfilling the responsivities and deliverables planned for project working closely with the team and client to obtain sign-off and ensure client satisfaction as a result, build trusted relationships with the client.
• You will be continually encouraged to devise innovative solutions to help our clients maximise the value of their data assets by helping them transform data into insight. You will also assume real ownership of projects and key stakeholders at executive levels as you help them execute their strategy to build an efficient analytics organisation, processes and supporting technology.
• In addition, Managers should support practice development and business management activities to help grow the Analytics & Cognitive practice as well as aligning to an industry to exploit depth of knowledge and professional experience.
• Working as a key business partner to high profile clients, you'll have the chance to develop your expertise from strategy to execution, as well as in delivery and implementation. As a Manager in the FS Data and AI, you'll be able to put your own creative ideas into practice as you take ownership of deliverables and resources on transformation projects and hone your commercial skills.
• Design and develop tailor-made solutions, strengthen presence of AI&D Practice for in the SEA market, identify revenue-generating opportunities, and get involved in proposal writing, pitch presentations, etc.
• Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Managers across our Firm are expected to:Develop diverse, high-performing people and teams through new and meaningful development opportunities.
• Collaborate effectively to build productive relationships and networks.
• Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
• Align your team to key objectives as well as set clear priorities and direction.
• Make informed decisions that positively impact the sustainable financial performance and enhance the quality of outcomes.
• Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
• Lead with integrity and make a strong positive impact by energising others, valuing individual differences, recognising contributions, and inspiring self-belief.
• Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
• Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
• Requirements:Bachelor or Masters' Degree in any relevant discipline.
• Minimum 8-10 years of working experience in the Consulting Industry within Financial Services clientele.
• It would be great to haveBusiness problem solving in the banking or Insurance domain, using analytical tools i.e Machine Learning libraries, LLM (Large Language Model) such as Open AI, Anthrophyic, Google Bard.
• Hands-on Experience in finding Data Science solutions, developing AI Models using ML Workbench (i.e PIVOTAL Cloudera, Ms Azure, NVDIA Omniverse).
• Good foundation in Data Management, Data Governance (AI Model, ML Ops).
• Banking domain analytics within mass market;wealth or private banking sales & customer 360 analytics.
• fraud-compliance-risk analytics.
• operational productivity & capacity analytics.
• human resource analytics or various advanced analytical frameworks for SME / commercial banking.
• transaction banking, payments, etc..
• Insurance Domain within Bancassurance, Life, General Insurance domain such as agency sales & distribution, customer acquisition & servicing analytics, claims processing, fraud, etc.
• It would be nice should you haveGood foundation in programming language i.e (at least one) R, Python, Scala.
• Certification with relevant to Cloud / Machine Learning / Artificial Intelligence.
• Regional Financial Services Experience, across SEA.
• Strong client relationship skills, including an ability to independently engage with clients.
• An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit our short-term and long-term project assignments.
• Additionally:Lead or Manage:Opportunity Management - RFI / RFP Process, Solution Designing, Budgeting and Account Planning.
• Delivery Management - Project Management, Manage Project Team, Project P&L.
• Leadership - Mentor and coach team members, fostering their professional growth and development within the insurance consulting domain.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 105649In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Experience:

3 years required

Skills:

Data Analysis, Python, English

Job type:

Full-time

• 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, Fast API) 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 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:

Legal, Compliance

Job type:

Full-time

• Operate Data Governance according to defined framework, policy, and standards for bank-wide including data privacy control, data access, data usage, data classification, data lifecycle management, cross-border transfer, data exchange with third-party partners.
• Govern data sharing activities in new data initiatives, new product/service with subsidiaries, monoline, Joint Venture, business partnerships including ongoing tracking and periodic review.
• Enable data sharing within legal, compliance, data privacy, market conduct and IT security regulations by working closely with senior management and related teams to define strategy, use cases and search for solutions to allow responsible usage.
• Perform a review and advise on data sharing to third parties in relation to approval protocol, data usage conditions, as well as data minimization practice.
• Maintain and operate SCB Data Lake RBAC, Non-RBAC and access management including RBAC matrix maintenance and access request.
• Drive awareness of data governance through training programs and communications rollout.
• Collaborate with DataX (Centralized Data Hub) Enforce and manage data governance policies within SCB and SCB data zone.
• Communicate DataX Data Governance policies, standards, and processes updates within SCB.
• Be consulted on data requests to be ingested in SCB data zone and data sharing execution with group data zone.
• Evaluate, and monitor data access request to SCB data zone.
• Qualification - Senior Bachelor s or master s degree in business administration, information systems, computer science, information technology or related discipline.
• At least 3-5 years of working experience in governance, risk, data management, or related field.
• Track record of data management, data protection or business-driven data governance practices implementation.
• Experience in writing or working with various documents such as policy, standard, procedure, and guideline.
• Ability to work on cross-functional units with excellent verbal & written communication skills.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Experience:

3 years required

Skills:

SQL, Python, Database Development, English

Job type:

Full-time

• Design, develop, and maintain data mart and pipeline to ensure accessibility and reliability of data.
• Utilize SQL to perform complex queries, data extraction, and manipulation.
• Analyze and interpret large datasets to identify trends and insights that drive business decisions.
• Ensure data quality, integrity, and security across all managed databases.
• Collaborate with cross-functional teams to understand data needs and deliver effective data management solutions.
• Implement and monitor data management policies and procedures.
• Optimize database performance and troubleshoot issues as they arise.
• Leverage big data technologies such as Spark to process and analyze large datasets.
• Develop and maintain ETL processes to ensure seamless data flow between systems.
• Work with cloud platforms such as Google Cloud and AWS to manage and store data securely.
• Required Skills and Qualifications.
• Proficiency in SQL: Expertise in writing and optimizing complex SQL queries.
• Problem-solving and analytical skills: Strong ability to analyze data and derive actionable insights.
• Familiarity with cloud platforms: Experience with platforms such as Google Cloud and AWS.
• Database management systems: Hands-on experience with systems like MySQL.
• Big data technologies: Experience with technologies such as Spark.
• Python programming: Proficiency in Python for data manipulation and analysis.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Attention to detail and commitment to maintaining high data quality standards.
• Ability to manage multiple projects and prioritize tasks in a fast-paced environment.
• 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.
• Experience with data visualization tools (Tableau, Power BI).
• Ability to work collaboratively with cross-functional teams.
• 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:

Good Communication Skills, Meet Deadlines, Problem Solving, English

Job type:

Full-time

• Setting up static data i.e. customer information, portfolio, settlement instruction, holiday maintenance and etc. in Treasury System (Murex).
• Managing collateral margin call and settlement for any derivatives product transactions under Credit Support Annex (CSA).
• Managing collateral margin and reporting Mark To Market (MTM) for private repo product transactions.
• Handling accounting entries for revenue and expense in Nostro account.
• Reconciling daily transactions in Nostro account statement, being responsible for pay/receive compensation occurring on settlement.
• Bachelor's degree in related field.
• Having decent knowledge and understanding for overview of products under Credit Support Annex (CSA)/Private Repo.
• Able to manage static data setup in Treasury System (Murex) efficiently.
• Having reconciliation skill.
• Able to work under pressure and communicate with internal/external party.
• Understanding criteria, rules and regulations relating to transactions.

Experience:

7 years required

Skills:

Project Management, Scrum, Product Owner

Job type:

Full-time

• Bachelor s degree in Business Administration, Innovation Management, Computer Science, Data Science, or a related field.
• At least 7 years of experience managing projects, with at least 2 years focused on innovation, digital transformation, or emerging technologies.
• Proven experience in end-to-end project management, including planning, execution, monitoring, and delivery.
• Experience working with project management tools such as JIRA, Trello, Asana, or MS Project.
• Knowledge of data analytics frameworks, predictive models, and data-driven decision-making methodologies.
• Understanding of emerging technologies (e.g., AI, machine learning, Generative AI, IoT) and innovation frameworks.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent stakeholder management, communication, and presentation skills.
• Ability to work in a fast-paced, agile environment with cross-functional teams.
• Certifications: PMP, Prince2, Agile (Scrum Master, Product Owner), or Design Thinking certifications.
• 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 the Bank. .