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Experience:

4 years required

Skills:

Statistics, Python, SQL

Job type:

Full-time

• Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions.
• Extract insights from large and complex datasets using a variety of tools and techniques.
• Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling.
• Present findings and recommendations to stakeholders in a clear and compelling manner.
• Implement data-driven solutions in various environments, including integration with existing systems and processes.
• Stay up to date on the latest development in data science and bring new idea and technology to the team.
• Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time.
• Bachelor s or Master s degree in data science, Computer Science, Statistics, or related field.
• 4+ years of experience as a Data Scientist, with a focus on industries.
• Descriptive Analytics.
• Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path).
• Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases.
• Experience with statistical and machine learning techniques.
• Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others.
• Experience with data visualization tools such as Looker Studio, Tableau, and Power BI.
• Strong problem-solving and communication skills.
• Experience with Cloud technology and databases (Cloud AWS, Azure, GCP).
• Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery.
• Location: True Digital Park, Bangkok.

Experience:

7 years required

Skills:

Financial Modeling, Cash Flow Management, English

Job type:

Full-time

• บริหารและกำกับดูแลการวิเคราะห์ข้อมูลทางการเงินและการลงทุน เพื่อสนับสนุนการตัดสินใจเชิงกลยุทธ์.
• จัดทำ วิเคราะห์ และนำเสนอรายงานทางการเงิน ผลตอบแทน และประมาณการในมิติต่าง ๆ ให้สอดคล้องกับแผนงานและนโยบายของบริษัท.
• ศึกษาและติดตามแนวโน้มทางเศรษฐกิจ การเงิน และตลาดการลงทุน ทั้งในและต่างประเทศ เพื่อ นำมา ประเมินโอกาสและความเสี่ยงที่อาจะเกิดขึ้น.
• วางแผน กำหนด และปรับกลยุทธ์ด้านการเงินและการลงทุนให้เหมาะสมกับเป้าหมายของบริษัทภายใต้กรอบการบริหารความเสี่ยงที่กำหนด.
• บริหารทีมงานด้านการวิเคราะห์และการลงทุน ให้สามารถปฏิบัติได้อย่างมีประสิทธิภาพ และพัฒนาศักยภาพทีมงานให้สอดคล้องกับทิศทางขององค์กร.
• ประสานงานและให้คำปรึกษาแก่หน่วยงานที่เกี่ยวข้อง เพื่อสนับสนุนการดำเนินงานด้านการเงินและการลงทุนของบริษัท.
• ปฏิบัติงานอื่น ๆ ที่ได้รับมอบหมายจากผู้บังคับบัญชา.
• ปฏิบัติงานอย่างใดอย่างหนึ่งหรือทั้งหมดของบทบาทงาน ดังนี้.
• การวิเคราะห์และจัดทำรายงานด้านการเงินและการลงทุน.
• จัดทำและนำเสนอ รายงานการลงทุนรายเดือน รายไตรมาส และรายปี ต่อผู้บริหาร.
• วิเคราะห์ ผลตอบแทนจากการลงทุน และดอกเบี้ยรับ รวมถึงประมาณการล่วงหน้า 3-5 ปี.
• ศึกษาและวิเคราะห์แนวโน้มทางเศรษฐกิจ เพื่อคาดการณ์แนวโน้มของตลาดและความเป็นไปได้ในการลงทุน.
• วิเคราะห์และสรุปข้อมูลทางการเงิน เช่น งบดุล งบกำไรขาดทุน และงบกระแสเงินสด เพื่อประเมินสถานะทางการเงินของบริษัท.
• กำกับดูแลการจัดทำรายงานทางการเงินและการลงทุน รวมถึงการวิเคราะห์ผลตอบแทนทางการเงิน.
• วางกลยุทธ์ด้านการวิเคราะห์ข้อมูลและการลงทุน เพื่อเพิ่มประสิทธิภาพและผลตอบแทนของบริษัท.
• วิเคราะห์ข้อมูลเชิงลึกเกี่ยวกับงบการเงิน และจัดทำประมาณการทางการเงินและการลงทุน.
• ศึกษาแนวโน้มเศรษฐกิจ การเงิน และการลงทุน เพื่อนำมาประเมินผลกระทบและโอกาสในการลงทุนของบริษัท.
• ติดตามและปรับกลยุทธ์ทางการเงินและการลงทุนให้สอดคล้องกับเป้าหมายของบริษัท.
• การจัดประชุมคณะอนุกรรมการบริหารการลงทุนและบริหารความเสี่ยงด้านการลงทุนอย่างน้อยไตรมาสละหนึ่งครั้ง หรือไม่น้อยกว่าปีละสี่ครั้ง.
• บริหารทีมงานนักวิเคราะห์ข้อมูลและการลงทุน รวมถึงการพัฒนาและเสริมสร้างศักยภาพของทีม.
• นำเสนอรายงานและข้อเสนอแนะด้านกลยุทธ์ทางการเงินและการลงทุน แก่ผู้บริหารระดับสูง.
• ประสานงานกับหน่วยงานภายในและภายนอกที่เกี่ยวข้อง รวมถึงธนาคาร สถาบันการเงิน บริษัทหลักทรัพย์จัดการกองทุน การวิเคราะห์และจัดทำรายงานด้านการเงินและการลงทุน.
• การวิเคราะห์และจัดทำรายงาน บริษัทที่ปรึกษาการลงทุน และหน่วยงานภาครัฐวิเคราะห์และจัดทำรายงานด้านการเงินและการลงทุน.
• จัดทำและนำเสนอ รายงานลงทุนรายเดือน รายไตรมาส และรายปี ต่อผู้บริหาร.
• วิเคราะห์ ผลตอบแทนจากการลงทุน และดอกเบี้ยรับ รวมถึงประมาณการล่วงหน้า 3-5 ปี.
• ศึกษาและวิเคราะห์แนวโน้มทางเศรษฐกิจ เพื่อคาดการณ์แนวโน้มของตลาดและความเป็นไปได้ในการลงทุน.
• วิเคราะห์และสรุปข้อมูลทางการเงิน เช่น งบดุล งบกำไรขาดทุน และงบกระแสเงินสดเพื่อประเมินสถานะทางการเงินของบริษัท.
• การวางแผนแลพกำหนดกลยุทธ์ทางการเงินและการลงทุน.
• จัดทำ Financial Forecast, Cashflow Projection และ Feasibility Study.
• วางแผนและกำหนด กลยุทธ์การลงทุน โดยอ้างอิงจากข้อมูลเชิงลึกและแนวโน้มตลาด.
• ติดตามและปรับปรุงกลยุทธ์ทางการเงินและการลงทุน เพื่อเพิ่มมูลค่าและลดความเสี่ยงของบริษัท.
• วิเคราะห์ S.W.O.T. (Strengths, Weakness, Opportunities, Threats) เพื่อระบุจุดแข็ง จุดอ่อน โอกาส และความเสี่ยงที่อาจเกิดขึ้น.
• การบริหารทีมและการทำงานร่วมกับหน่วยงานที่เกี่ยวข้อง.
• บริหารและพัฒนาทีมวิเคราะห์ข้อมูลและการลงทุนให้มีศักยภาพสูงสุด.
• ประสานงานกับ หน่วยงานภายใน เช่น ฝ่ายบัญชี ฝ่ายบริหารความเสี่ยง และหน่วยงานที่เกี่ยวข้อง เพื่อให้มั่นใจว่าการวิเคราะห์ข้อมูลและการลงทุนเป็นไปตามแผนที่กำหนด.
• ติดต่อและทำงานร่วมกับ หน่วยงานภายนอก เช่น สถาบันการเงิน บรืษัทที่ปรึกษาการลงทุน และหน่วยงานกำกับดูแล.
• การติดต่อข่าวสารและปัจจัยภายนอกที่ส่งผลต่อบริษัท.
• ติดตาม แนวโน้มเศรษฐกิจ ตลาดการเงิน และนโยบายภาครัฐ ที่อาจส่งผลต่อกลยุทธ์การลงทุนของบริษัท.
• วิเคราะห์ ปัจจัยภายในและภายนอก ที่อาจกระทบต่อบริษัท ทั้งในเชิงบวกเชิงลบ พร้อมนำเสนอแนวทางรับมือ.
• สนับสนุนงานอื่น ๆ ตามที่ได้รับมอบหมาย เพื่อให้หน่วยงานและบริษัท ไทยแลนด์ พริวิเลจ คาร์ด จำกัดภารกิจที่กำหนด.
• ได้รับปริญญาตรีหรือคุณวุฒิอย่างอื่นที่เทียบได้ระดับเดียวกันในสาขาวิชาใด สาขาวิชาหนึ่ง ทางการเงิน บัญชี บริหารธุรกิจ เศรษฐสาสตร์.
• มีประสบการณ์ด้านการวิเคราะห์การเงิน การลงทุน การบริหารสินทรัพย์หรืองานที่เกี่ยวข้องอย่างน้อย 7-10 ปี และประสบการณ์ระดับบริหาร 3-5 ปี.
• มีความรู้ด้านการวิเคราะห์งบการเงิน การบริหารพอร์ตการลงทุน การจัดทำประมาณการทางการเงินและการประเมินมูลค่าโครงการ.
• มีความเข้าใจในการตลาดทุน ตลาดเงิน เครื่องมือการลงทุนทั้งในประเทศและต่างประเทศ.
• มีทักษะการบริหารจัดการทีม การสื่อสาร และการประสานงานที่ดี.
• มีทักษะการบริหารจัดการทีม การสื่อสาร และการประสานงานที่ดี.
• สามารถใช้ในโปรแกรมวิเคราะห์ข้อมูลและซิฟต์แวร์ทางการเงินได้ (เช่น SETSMART, SETTRADE Streaming, Bisnews, ThaiBMA Bloomberg, Reuters จะพิจารณาเป็นพิเศษ).
• มีทักษะการคิดเชิงกลยุทธ์ การวิเคราะห์เชิงปริมาณ และการแก้ไขปัญหา.
• ความรู้ ทักษะ และสมรรถะที่จำเป็นในงาน.
• มีประสบการณ์ด้านการวิเคราะห์ข้อมูลทางการเงินและการลงทุน ไม่น้อยกว่า 7-10 ปี.
• มีประสบการณ์ในตำแหน่ง ผู้จัดการ หรือ ผู้บริหารระดับสูง อย่างน้อย 3 ปี.
• มีทักษะ การวิเคราะห์ข้อมูลขั้นสูง และสามารถใช้โปรแกรม Excel, Power BI หรือซอฟต์แวร์ที่เกี่ยวข้องได้ดี.
• มีความเข้าใจเกี่ยวกับ Financial Modeling, Cashflow Management, และ Risk Management.
• มีความสามารถในการนำเสนอข้อมูลเชิงกลยุทธ์บริหารระดับสูง.
• มีทักษะการบริหารทีม และสามารถทำงานร่วมกับหน่วยงานที่เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• มีทักษะภาษาอังกฤษในการติดต่อสื่อสารได้ระดับดี.
• ตามบริษัท ไทยแลนด์ พริวิเลจ คาร์ด จำกัด ประกาศตามตำแหน่งงาน.

Experience:

No experience required

Skills:

Python, SQL, Database Administration, English, Thai

Job type:

Full-time

• Guide and train new customers to confidently use our system.
• Monitor customer activity, troubleshoot basic issues, and coordinate with internal teams.
• Analyze and manage customer data to ensure readiness for real-time use.
• Work closely with logistics, operations, and tech teams to deliver a seamless onboarding experience.
• Travel and visit customer sites.
• Experience in Customer Support or Data Analysis is a plus new graduates are welcome to apply.
• Proficiency in Excel and SQL; Python skills are a plus.
• Excellent communication skills in both Thai and English.
• Adaptable, quick to learn, and able to work under pressure.
• Educational background in IT, Computer Science, or related fields is preferred.
• Allows you to apply your skills in data, technology, and customer service.
• Supports your personal and professional development.

Experience:

2 years required

Skills:

Biology, English

Job type:

Full-time

• Accelerated Development: Our venture studio model streamlines the typically lengthy process of biotech innovation. With access to expert operational, legal, finance, and HR teams, you can bypass common startup hurdles and focus immediately on scientific advancement and strategic growth..
• Integrated Resource Access: You will have direct access to state-of-the-art labs, cutting-edge infrastructure, and specialized development and product teams tailored to your project s unique needs facilitating rapid iteration and optimized drug develop ...
• Collaborative Synergies: Joining our venture studio connects you with a vibrant ecosystem of experienced entrepreneurs, distinguished scientists, and industry leaders. This collaborative environment encourages cross-pollination of ideas, mentoring opportunities, and strategic partnerships, enhancing both innovation and your professional growth..
• Strategic Support and Investment: Beyond initial capital, Great Good provides ongoing strategic guidance and operational support. Our comprehensive back-office resources help manage day-to-day complexities while our investment in your venture ensures you have the means to scale quickly and capture market opportunities..
• Enhanced Commercial Potential: By working under the venture studio umbrella, you not only drive scientific breakthroughs but also elevate the commercial viability of your project. Our model is designed to maximize innovation in drug therapeutics and generate significant market value, positioning your venture for long-term success and impactful industry leadership..
• About the Role.
• We are seeking a motivated and experienced CRISPR Scientist to join our dynamic R&D team and drive the design, execution, and analysis of our gene editing projects. If you are passionate about translating innovative science into transformative medicine, we encourage you to apply..
• Design and execute experiments using various CRISPR-Cas systems (e.g., OPENCRISPR1, Cas9, Cas12a, Base Editors, Prime Editors) for gene editing in mammalian cells, including primary cells and immortalized cell lines. This scope of work is expected to include using machine learning platforms to screen, analyze, synthesize and test enzymes of the Cas and deaminase classes as well as nickase conversion..
• Develop and optimize methods for gRNA design, delivery (e.g., lipofectamine, lipid nanoparticles, electroporation), and assessment of editing efficiency and specificity using PCR and NGS technologies..
• Analyze and interpret complex data sets, including molecular biology assays (qPCR, Western Blot, ELISA), next-generation sequencing (NGS) data for on-target and off-target editing, and functional cell-based assays..
• Culture and manipulation of various cell lines (HEK-293, HeLa, iPSCs, and T cells), with a focus on validating utility of novel complexes to perform precise editing in cells..
• Troubleshoot experimental hurdles and contribute creative solutions to accelerate project timelines. This will include minimizing off-target and bystander editing by correct selection of PAMs and other critical sequences..
• Document experiments in electronic lab notebooks and present results clearly at internal meetings..
• Stay current with the latest scientific literature, technology advancements, and regulatory requirements pertaining to CRISPR and gene therapy..
• Collaborate effectively with interdisciplinary teams including technicians and scientists, in the immunology, cell biology, drug development and bioinformatics fields..
• Required.
• Ph.D. in Molecular Biology, Cell Biology, Genetics, Biochemistry, or a related field..
• Minimum of 2+ years of relevant post-doctoral or industry experience focused on gene editing techniques, specifically CRISPR technology. Experience in Base Editors and human T cells is desired..
• Deep expertise in mammalian cell culture techniques, including transfection and viral transduction..
• Proficiency in molecular biology techniques, including DNA/RNA isolation, PCR/qPCR, cloning, and gel electrophoresis..
• Demonstrated experience with assays used to quantify gene editing outcomes (e.g., T7 Endonuclease I assay, NGS library preparation and analysis)..
• Excellent written and verbal communication skills with the ability to present complex data effectively..
• Preferred.
• Industry experience in a Biotech or Pharmaceutical setting..
• Experience with non-Cas9 CRISPR systems (e.g., Base/Prime Editors, dCas9 fusions) is a strong plus..
• Familiarity with in vivo delivery methods and animal models..
• Experience with high-throughput screening and automation..
• Experience with CAR-T cell development.
• Experience with antiviral therapeutics..
• What We Offer.
• Competitive compensation and equity package in an early-stage, high-growth startup..
• The opportunity to make a significant impact on developing next-generation therapies..
• A collaborative, fast-paced, and intellectually stimulating culture..
• To Apply, please submit your CV and a cover letter detailing your relevant experience to [email protected] or Application Link: https://forms.gle/Ewgtmcgwuv6B5KJ66..

Skills:

Research, SQL, Statistics, English

Job type:

Full-time

• Provide data-driven insights to improve decision making and identify business opportunities.
• Build and enhance various creditability scoring models.
• Evaluate performance for product experimentation.
• Help improve data collection for website and mobile apps to better understand user behaviors.
• Present findings to different types of audiences.
• Facilitate some simple data queries/extraction that help business operations.
• Research for better improvements in data analytics area.
• Some hands-on experience in crunching data to uncover insights by writing SQL,.
• Python, R scripts, and being familiar with spreadsheets.
• A passion to gain a deeper yet practical understanding of statistics.
• and econometrics techniques.
• Fair understanding of what drives the success of predictive model implementation.
• for subject creditability purpose.
• Some technical knowledge in data collection from websites or mobile apps.
• Ability to translate business problems into analytics questions, bounce ideas,.
• and communicate findings.
• Intermediate fluency in English.
• Machine Learning engineering.
• Operations Research (mathematical optimisation).
• Business Intelligence tools for data democratisation.
• Data visualisation development in web browser.
• NoSQL databases and Big Data platforms.
• Data Engineering and Software Engineering.
• ประกันสุขภาพ.
• ประกันสังคม.
• กองทุนสำรองเลี้ยงชีพ.
• เยี่ยมไข้ เยี่ยมคลอด.
• ของขวัญวันเกิดพนักงาน.
• ตรวจสุขภาพประจำปี.
• เงินช่วยเหลืองานมงคลสมรส.
• เงินช่วยเหลืองานศพ.
• การฝึกอบรมและพัฒนาพนักงาน.
• ค่าตอบแทนพิเศษ.
• โบนัสตามผลงาน / ผลประกอบการ.

Skills:

Data Analysis, Big Data

Job type:

Full-time

• Work collaboratively with data engineers and data architects to acquire new data from internal and external source systems.
• Support business initiatives and projects by performing data wrangling and exploratory data analysis, discovering trends and patterns, building predictive models and machine learning algorithms, etc., based on the CRISP-DM methodology and agile approach.
• Stay up to date with big data and analytical techniques, such as machine learning, d ...
• Provide analytics expertise, directions and guidance to business leads through turning insights into business action so as to improve sales and customer profitability.
• Present summary of analyses including data monetization on large datasets using advanced analytics tools and data visualization techniques.
• Lead implementation of AI models and business rules incorporated in automated business processes.

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.

Experience:

5 years required

Skills:

AutoCAD, Visio, English

Job type:

Full-time

• Responsible for planning preventive maintenance schedules for the electrical system.
• Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
• 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
• 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
• To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
• Review PUE, cost saving energy and report.
• Measured Efficiency air system and record annual report.
• Responsible for implementing Electrical such as MU, TR, MDB, GEN, UPS, RECT, BATT, ATS.
• Bachelor degree of Engineering, Electrical engineering or related field.
• More than 5 years of experience in maintenance of electrical systems such as RMU, TR, MDB, GEN, UPS, RECT, BATT, ATS: implement and support electrical systems in buildings or Data Centers.
• At least 1 years experience in designing electrical systems (such as RMU, TR, MDB, GEN, UPS, RECT, BATT, ATS). implement, and support for electrical systems in building.
• Able to use the program AutoCAD, Visio.
• Able to work as a team and work in and standby on call on holiday.
• Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
• Proficiency in English communication is beneficial for both reading and writing.
• Work Location: TrueIDC - Bangna Site (KM26).

Skills:

Data Analysis, SQL, Problem Solving, English

Job type:

Full-time

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

Experience:

5 years required

Skills:

Business Development, Risk Management, SAP

Job type:

Full-time

• Conduct session of business and regulatory requirements for master data structures, hierarchies, and taxonomies related to GRC (e.g. organization hierarchy, business process hierarchy, risk taxonomy, control standards, product etc.) and finalise the requirement.
• Provide advisory on Master Data Management to support good design of system functionality to ensure design aligning with relevant regulatory requirement and good practice.
• Ensure alignment of master data with regulatory frameworks (e.g., Basel II/III, BOT, IOSCO) and enterprise taxonomies.
• Manage relationships between master data objects and other GRC modules (Incident, Risk, Compliance, Policy, Issues Management, etc.).
• Translate requirements into system specifications and user stories.
• Lead the workshops with client stakeholders and solve the issues properly with good practices and knowledge sharing.
• Prepare documentation including Requirement Traceability Matrix (RTM), Functional Specification Document (FSD), and process flows.
• Support design, configuration, and integration of the Master Data module within the GRC platform.
• Develop, execute and manage test cases & scripts and UAT for Master Data module.
• Support accuracy and completeness of data migration and system outputs.
• Document test results, track defects, and support resolution.
• Create training materials (such as manuals, quick guides, and e-learning modules) and conduct the trainings.
• Support change management activities for Master Data module to ensure effective adoption.
• Advise on good governance processes and controls to ensure ongoing accuracy, consistency, and effective-date management of master data.
• Manage project delivery, budgets, risks, key stakeholders and communications with clients.
• Supervise and coach junior consultants, reviewing work products to ensure quality and consistency.
• Contribute to business development through proposals, client presentations, and thought leadership.
• Your Role as a Leader.
• Build and lead diverse teams, providing coaching and development opportunities to junior staff.
• Collaborate across service lines to deliver integrated solutions to clients.
• Inspire confidence and trust in clients through strong stakeholder engagement and communication.
• Drive superior outcomes by aligning project objectives with client strategic priorities.
• Demonstrate integrity, accountability, and inclusive leadership values.
• Bachelor s or Master s degree in Business Administration, Risk Management, Finance, Information Systems, or related field.
• For consultant level 1-3 years.
• For Senior Consultant and Manager 5-8 years of experience in GRC, Enterprise Data Management or Data Governance, Risk Management, or Risk Advisory, preferably in the financial services sector.
• Strong knowledge of professional frameworks (COSO, DAMA, ISO) and regulatory standards (Basel II/III, BOT) relevant to data management, risk management and control standard.
• Experience with GRC platforms (RSA Archer, SAP GRC, MetricStream, or equivalent) is a plus.
• Archer Certified Administrator (Specialist/Expert), ServiceNow CIS (Risk & Compliance), or equivalent certification is a plus.
• Proficiency in business analysis, documentation, and stakeholder facilitation.
• Strong problem-solving, analytical, and communication skills.
• Professional certifications such as GRC, CISA, CRISC, CISM, CISSP are highly desirable.
• Technical Skills.
• Exposure to GRC/IRM platforms such as Archer, ServiceNow, or MetricStream.
• Understanding of workflows, reporting, and dashboard.
• Proficiency in data processing and analytics using tools e.g. Microsoft Excel, Python.
• Proficiency in Microsoft Product for analysis, presentation and reporting.
• Soft Skills.
• Strong client-facing skills with ability to influence and consult at management levels.
• Excellent presentation, facilitation, and communication skills.
• Team-oriented with a willingness to learn and adapt to dynamic client environments.
• Ability to work in structured consulting environments with deadlines and deliverables.
• Critical thinking, strong problem-solving and conflict resolution capabilities.
• Industry Focus: FSI.
• Exposure to banking, asset management, digital asset, insurance, and financial services risk and compliance processes. Understanding of significant risk and compliance domain for specific industry.
• Due to volume of applications, we regret 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: 110812In 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.

Skills:

ISO 27001, English

Job type:

Full-time

• รับผิดชอบการ Monitoring ควบคุมและจัดการระบบพื้นฐานเกี่ยวกับ ไฟฟ้า และระบบปรับอากาศ ระบบเครือข่าย เพื่อสนับสนุนการจัดการ.
• ตอบสนองความต้องการของลูกค้า และประสานงาน การติดตั้งและการแก้ไขปัญหาระบบของผู้บริการ (vendor) เพื่อให้ถูกต้องและสมบูรณ์ตามหลักปฎิบัติ.
• ควบคุมและประสานงานการบำรุงรักษาและการซ่อมแซม (Preventive Maintenance) ระบบพื้นฐานต่างๆ เครื่องกำเนิดไฟฟ้า Generator, เครื่องสำรองไฟฟ้า UPS, ระบบตู้ไฟฟ้า, ระบบปรับอากาศ และการติดตั้งอุปกรณ์ระบบเครือข่าย (Network) เป็นต้น.
• เป็น 1st level support & troubleshooting ของระบบ Facility ใน Data Center เช่น ระบบ Network, ระบบไฟฟ้า, ระบบปรับอากาศ เป็นต้น.
• จัดทำกระบวนการปฎิบัติงาน และคู่มือการทำงานในการดูแลระบบพื้นฐาน โดยอิงตามมาตราฐาน ISO หรือมาตรฐานอื่นที่เกี่ยวข้องกับการปฏิบัติงาน (เช่น ISO 20000 ด้านบริการ, ISO 27001 ด้านความปลอดภัย,ISO 50001 ด้านบริหารพลังงาน และอื่นๆ เช่น ISO22301, PCIDSS, TCOS) รวมทั้งรูปแบบใบบันทึก, รายงานต่าง ๆ.
• สรุปและรายงานผลสำหรับปัญหาวิกฤติใด ๆ ต่อหัวหน้าทีม รวมทั้ง การจัดทำรายงานสถิติ,รายงานวิเคราะห์แบบรายวัน, รายเดือน รายไตรมาส ด้วย.
• Bachelor s degree in electrical power, mechanic or related fields.
• Thai nationality, Male, Age 20 - 25 years old.
• Have basic technical knowledge in Data Center facilities (Electrical/Mechanical).
• Able to work under pressure.
• Able to work with a team.
• Fair communication in English.

Experience:

4 years required

Skills:

Accounting, Negotiation

Job type:

Full-time

• Act as internal consultant to support strategy development and lead execution of key strategic projects.
• Take ownership of new partnership development, identify, develop and execute plan to align with company strategy.
• Work with head of department to plan and allocate partnership budget across channels.
• Develops and maintains productive working relationships with team members.
• Tracking business performance and create monthly summary report.
• Bachelor s degree in finance, Accounting, Business, IT, Engineer or any related field.
• At least 4 years experience in Business development, Strategic Planning, Financial Planning or related field.
• Experience in consultancy companies Big4 is a plus.
• Customer orientation, self-driven, strong negotiation skills and excellent interpersonal.
• Creative problem solver.
• High proficiency with Microsoft Excel, PowerPoint, understanding of financial.
• report is a plus.
• Location: True Digital Park, Punnawithi.

Skills:

DevOps, Automation, Kubernetes

Job type:

Full-time

• Managing 7-8 Professional Service Engineers in responsible for AWS cloud solution architecting and implementation/migration according to the project requirements.
• Team resources management.
• Acting as the key of Cloud technical aspect for the consulting team to provide the technical of AWS cloud consulting to customers.
• Design AWS Cloud solution architecture in response to the client s requirement.
• Define the scope of work & estimate mandays for cloud implementation.
• Managing cloud project delivery to meet the customer requirements timeline.
• Support AWS, GCP cloud partner competency building e.g. AWS Certification and delivery professional service process and documentation.
• Speaker of AWS technical side for True IDC webinar, online event for CloudTalk.
• Key Driving for building team competency expansion to meet the competency roadmap yearly strategy e.g. DevOps, IaC, Automation, Kubernetes, App modernization on AWS cloud.
• Experience in leading cloud AWS implementation and delivery team.
• Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies for AWS, GCP is plus.
• Experience in infra as a code in cloud native (Cloud Formation) or other e.g. Terraform, Ansible implementation.
• Experience in building multi-tier Service Oriented Architecture (SOA) applications.
• Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture to the Cloud.
• Knowledge of OS administrative for both Windows and UNIX technologies.
• Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
• Knowledge of Kubernetes, Containers and CI/CD, DevOps.
• Experience with RDBMS designing and implementing over the Cloud.
• Prior experience with application development on the various development solutions as Java,.Net, Python etc.
• Experience in,.Net and/or Spring Framework and RESTful web services.
• UNIX shell scripting.
• AWS Certified Solution Architect - Associate, Prefer Professional level.

Skills:

SAP, Linux, Apache

Job type:

Full-time

• Acting as the key of Cloud technical aspect for the consulting team to provide the technical consulting to both internal and external customers.
• Design Cloud solution architecture in response to the client s requirement.
• Provide advisory consulting service to the client regarding the True IDC Consulting practices.
• Create Cloud technical requirements to the client s migration plan.
• Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies e.g. AWS, GCP.
• Experience in building multi-tier Service Oriented Architecture (SOA) applications.
• Experience in SAP Cloud Infrastructure in term of architecture & design in AWS, GCP public cloud.
• Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture toth e Cloud.
• Knowledge of Containerization administrative for both Windows and Linux technologies.
• Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
• Good in customer objective handling & Good in customer presentation skill.
• Nice to have.
• UNIX shell scripting.
• AWS Certified Solution Architect - Associate.
• GCP Certified Solution Architect - Associate.

Experience:

5 years required

Skills:

Python, ETL, Java

Job type:

Full-time

• Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
• Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
• Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
• Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
• Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
• Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
• Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
• Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
• Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
• Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
• Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
• Knowledge of data modeling principles and experience working with SQL databases.
• Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Location: True Digital Park, Bangkok (Hybrid working).

Experience:

3 years required

Skills:

English

Job type:

Full-time

• Responsible for planning preventive maintenance schedules for air condition & Fire protection systems.
• Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
• 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
• 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
• To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
• Review PUE, cost saving energy and report.
• Measured Efficiency air system and record annual report.
• Responsible for implementation of Mechanical such as comfort air, precision air.
• Responsible for implementation of Fire suppression such as FM200, NOVEC, CO2, Fire Sprinkler, Fire Pump, Fire alarm, and Vesda.
• Working period office time 9:00 - 18:00 and able to standby on call or onsite to work on holiday.
• Bachelor degree of Engineering, Mechanical engineering or related field.
• At Least 3 years experience in maintenance air conditioning such as comfort air, precision air, chiller air cool, water cool, pump motor: implement and support for mechanics-air condition systems in buildings or Data Centers.
• At least 1 years experience in designing air conditioners such as comfort air, precision air, chiller air cool, water cool, pump motor: implement, and support for mechanics-air condition systems in building.
• Able to Air - Diagram and Psychrometric chart knowledge.
• Able to work as a team and work in and standby on call on holiday.
• Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
• Proficiency in English communication is beneficial.
• Work Location: TrueIDC - Bangna Site (KM26).

Experience:

8 years required

Skills:

Linux, UNIX, System Administration

Job type:

Full-time

• Bachelor's degree in a technical field or equivalent practical experience.
• 8 years of experience in computing infrastructure, networking, operating systems, or hardware.
• 5 years of experience managing technical, vendor, agreement management, or delivery teams.
• Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.
• Experience working in data center environments, including building and operating large-scale infrastructure, and network and compute architecture and life-cycle, and Linux/Unix system administration.
• Experience in installing, configuring, testing, troubleshooting and maintaining hardware servers and its components.
• Experience with initiating and executing initiatives in a global environment.
• Ability to lead and improve Environmental Health and Safety initiatives.
• Excellent performance with data gathering, analysis and presentation skills.
• Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Hardware Operations Manager, you will manage a team of Data Center Technicians. You will oversee the quality installation of server hardware and components and take charge of complicated installations/troubleshooting.
• Your team will install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). They will also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. They may lead small project teams on larger installations and develop project contingency plans.
• In this role, you will lead a team of Data Center Technicians who perform quality installations of server and network hardware and their components, and maintain and troubleshoot any tests while modeling teamwork with a positive impact to site culture. You will also manage day-to-day operations and guide the team through the installation, configuration, testing, troubleshooting and decommissioning of our servers. In a similar fashion, you will also oversee the deployment of network components of the data center, lead teams on installations and develop project contingency plans. 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 channel 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.
• Lead a team of individuals, set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance and development, and provide feedback and coaching.
• Partner with teams to meet goals and stakeholders to manage facility activities and set/implement short- and long-term strategies.
• Maintain, monitor, and execute security and operational procedures and track/analyze trends to identify opportunities for improvements ensuring alignment with organizational policies.
• Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues.
• Support and contribute to the implementation of Environmental Health and Safety (EHS) and other compliance programs and initiatives in collaboration with other teams to ensure environmental and safety incidents are investigated, resolved, and reported.
• 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:

Express

Job type:

Full-time

• Report Creation: Prepare and compile summary reports for management, presenting key workforce data insights in a clear and concise manner.
• Data Support: Assist in gathering, cleaning, and organizing data to support accurate reporting and dashboard updates.
• Documentation and Coordination: Maintain data-related documentation and coordinate with the data analyst to ensure timely and accurate reporting for decision-making.
• Requirements: Bachelor s degree in Business, Data analytics, Operations Management, or a related field.
• Fresh grad are welcome.
• Proficiency in creating professional summary reports using Google Sheets & Slides.
• Strong ability to ensure data accuracy and present findings clearly and effectively.
• Capable of managing multiple tasks, tracking data updates, and adhering to tight deadlines.
• Ability to convey data insights effectively to management and collaborate with the data analyst.

Skills:

Automation, Risk Management, DevOps

Job type:

Full-time

• Lead a high performing, cross-location team of data engineers, analysts, and product owners, providing clear direction and support to ensure consistent, high-quality outcomes. Coach and develop as needed, to drive both team engagement and engineering excellence.
• Own the platform strategy and the end-to-end data architecture, operating at the strategic level to shape direction, retaining the ability to dive deep into engineering challenges and solution design with the team where needed.
• Define and execute the strategic roadmap for ICP, embedding a product operating model, while ensuring scalability, reliability, and continuous improvement.
• Drive senior stakeholder engagement to capture requirements, align priorities, influence decisions, and deliver measurable business outcomes.
• Oversee the design, development, and deployment of enterprise datasets, dashboards, and analytics products, delivering actionable insights for business and technology leaders.
• Accelerate delivery and enhance quality by implementing CI/CD practices and automation in data engineering workflows.
• Ensure high standards for data accuracy and reliability across ICP and related data services.
• Partner with technology domain experts to embed data-driven practices into infrastructure planning, risk management, and cost optimization.
• WHAT YOU WILL BRING Degree or equivalent in IT, Computer Engineering, or related field.
• Proven experience in leading diverse teams to deliver strategic outcomes in data analytics and data solutions.
• Extensive expertise in data engineering, analytics platforms, and automation tools, with solid understanding of CI/CD pipelines, DevOps principles, and modern data delivery practices.
• Ability to capture and translate complex business and technical requirements into actionable solutions.
• Strong communication skills, with the ability to engage both technical and non-technical audiences effectively.
• Stakeholder Management: demonstrable track record of building effective strategic relationships, through clear communication, delivering against expectations and establishing and sustaining trust.
• Strong organizational skills and self-motivated with strong attention to detail and follow through.
• Ability to work under pressure with a high level of initiative and a flexible approach; capable of handling competing demands, ambiguity, and changing priorities.
• Agile & Scrum: demonstrable experience using Agile and Scrum methodologies.
• Product Management / Product Ownership: working knowledge of Product Methodologies, experience in product design & development, and gathering and interpreting customer requirements.
• Broad technical awareness of IT infrastructure components (such as compute, storage, cloud, data centres).
• Good understanding of infrastructure management and change themes, such as capacity planning, hardware lifecycle management and infrastructure modernisation and transformation.
• WHAT YOU WILL GET IN RETURN: A technical leadership role at enterprise level, where you will shape the future of Infrastructure Platform Engineering (IPE) and play a key role in driving the Group s technology strategy and transformation.
• Work on initiatives that span multiple technologies and regions, contributing to a global delivery of infrastructure services and products.
• Daily collaboration with dedicated, -cross-functional teams including engineering, transformation, product, finance, and operations across multiple geographies.
• A competitive compensation package and a comprehensive benefits offering.
• Access to continuous learning and professional development opportunities, with support for certifications, leadership development and growing your career as a leader of data products and strategy.
• ABOUT US LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge, and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, handle risk and create jobs. It s how we ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally. LSEG s ticker symbol is LSEG. OUR PEOPLE: People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and exciting experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential. We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and exciting opportunities for everyone to broaden and deepen their skills and expertise. As a global organization spanning 70 countries and one rooted in a culture of growth, opportunity, diversity, and innovation, LSEG is a place where everyone can grow, develop, and fulfil your potential with meaningful careers. Career Stage: Manager London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Experience:

7 years required

Skills:

Assurance, SQL, English

Job type:

Full-time

• Summarize common and unique business requirement as well as business and data workflow by working with asset teams and x-functional teams. Provide recommendations to team per domestic asset point of view.
• Drive asset synergy thru data foundation where applicable e.g. streamlined data inputs/output, centralized database, seamless data-business integration, etc.
• Work with business teams to develop data quality management roadmap/framework and data quality assurance process.
• Work with IT corporate to communicate changes and/or develop adoption plan to stakeholders to ensure data driven organization sustainability.
• Work with business and data analyst to QA/QC data model, making sure business logics are covered possible scenarios of data sets.
• Provide business inputs to IT corporates to improve data/digital related e.g. data/digital governance, data/digital work processes, data/digital portfolio management, etc.
• Coordinate with business users and IT to provide timely support to business users, troubleshooting/investigating data issues as needed basis at maintenance phase.
• Professional Knowledge & Experiences.
• Background in Engineering or related degree.
• 7+ years experience in E&P business (Petroleum development, Production Operations, Drilling and Completion, etc.).
• Good understanding of data management, data/product architecture, data pipeline, data workflow, and relevant data/digital related to collaborate issues and recommendations with IT corporate, 3rd party vendor, and business users.
• Proven ability to complete projects according to outlined scope, budget, and timeline.
• Good communication skill and be resilience to manage changes.
• SQL coding and data visualization development are a plus.
• Excellent written and verbal communication skills both in English and Thai.