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Experience:

3 years required

Skills:

Python, Instrument, English

Job type:

Full-time

• Analyze market data content (mainly derivative instruments) both structure and unstructured format.
• Lead requirement discussion aspect with relevant parties mainly located in France, UK, US and India.
• Implement python script to manipulate data structure/format and price the financial instrument using both self-created library embedded and/or pre-defined library or Refinitiv quantitative pricing service API.
• Produce minimum level of requirement document.
• Provide 3rd level support of application and relevant systems, flexible and comfortable with European shift time.
• Required skills and experience At least 3 years experience as a software engineer or comparable field.
• Good knowledge in Python programming language and application design.
• Knowledge in database programming.
• Fluent in spoken and written English.
• Strong interest in financial market, trading securities and investment.
• Positive and open attitude, eager to learn new technologies.
• Preferred skills and experience (not required but with advantage) Advance knowledge in statistic and intermediate level in calculus (e.g. partial differential equation).
• Understand concept of financial market and financial instrument especially derivatives.
• Knowledge in derivative instrument pricing theory.
• Experience with stock exchange and/or financial institutional.
• LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Skills:

Java, Python, Software Development

Job type:

Full-time

• Collaborate with business stakeholders, product owners, and technical teams to understand functional and non-functional requirements.
• Design and document robust, scalable, and secure end-to-end solutions, considering cloud (e.g., AWS, Azure, GCP), on-premise, or hybrid deployment models.
• Create and maintain architectural artifacts, including system diagrams, data flow diagrams, technical specifications, and decision logs.
• Evaluate and recommend appropriate technologies, platforms, frameworks, and tools based on project needs, cost-effectiveness, and strategic alignment.
• Provide technical leadership, guidance, and mentorship to development teams throughout the software development lifecycle (SDLC).
• Ensure proposed solutions adhere to enterprise architecture standards, security policies, and best practices.
• Identify and mitigate technical risks associated with proposed solutions.
• Conduct proof-of-concepts (PoCs) and feasibility studies for new technologies or approaches.
• Communicate complex technical concepts effectively to both technical and non-technical audiences.
• Stay current with emerging technology trends, cloud services, and architectural patterns.
• Ability to read and understand code (mentioning specific languages like Java, Python, Node).
• Experience in debugging, root cause analysis, and scoping technical issues.
• Bachelor s degree in Computer Science, Information Technology, Software Engineering, or a related field.
• Experience with System Analyst for 1-2 years.
• Proficient in cloud architecture (AWS, Azure, GCP) and secure system design.
• Strong communicator with cross-functional collaboration skills.
• Skilled in Java, Python, Node.js, and debugging issues.
• Experienced in SDLC and providing technical guidance.
• Passionate about tech trends and continuous improvement.
• 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:

Python, Power BI, Data Analysis

Job type:

Full-time

• Create, Develop and Monitor Auto Replenishment & Parameter.
• Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
• Investigate and identify root cause of overstocking and OOS at Store/DC.
• Monitoring of target stock on normal/seasonal period to suit with business sale target.
• Adjust daily sales in system to correct average daily sales after promotion period.
• Forecasting demand in each promotion campaign to manage Parameter setting.
• Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic, Data Scientist and other relate filed.
• Have experience in System Analysis, Data Analysis, Supply Chain Analysis for 2-5 Years.
• Have experience in Retail / FMCG business would be advantage.
• Excellent for Excel, Power BI, Python.
• Good Analytic skills.

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:

Automation, Python, Java, English

Job type:

Full-time

• Develop, test, and deploy RPA solutions using UiPath, Automation Anywhere, or Blue Prism.
• Analyze business processes and identify automation opportunities.
• Ensure smooth integration with existing systems through APIs and databases.
• Monitor and maintain bots, troubleshoot issues, and optimize performance.
• Implement error handling and security measures to ensure robust automation.
• Document workflows, best practices, and technical specifications.
• ABOUT YOU.
• Experience with RPA tools like UiPath, Blue Prism, or Automation Anywhere.
• Knowledge of Python, C#, Java, or VB.NET for automation scripting.
• Understanding of process mapping, workflow automation, and system integration.
• Experience with SQL databases and APIs for data exchange.
• Academic background: Bachelor s or Master s in Computer Science, Engineering, or a related field.
• Strong problem-solving skills and attention to detail.
• Fluent in English; additional languages are a plus.
• WHY AMARIS?.
• Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
• Trust and Growth: With 70% of our leaders starting at entry-level, we re committed to nurturing talent and empowering you to reach new heights.
• Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
• Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through afterworks, networking events, and more.
• Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
• Equal Opportunity.
• Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive environment. For this purpose, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.

Skills:

Jenkins, Automation, Python

Job type:

Full-time

• Infrastructure as Code: Design, implement, and maintain infrastructure using tools like Terraform, CloudFormation, or Ansible to manage cloud and on-premises resources.
• CI/CD Pipelines: Develop, manage, and improve CI/CD pipelines using tools such as Jenkins, GitLab CI to ensure reliable and efficient software delivery.
• Automation and Orchestration: Automate repetitive tasks and streamline workflows using scripting languages like Python, Bash, or PowerShell.
• Monitoring and Logging: Implement monitoring and logging solutions to ensure system health and performance, using tools like Prometheus, Telegraf, Grafana, ELK Stack.
• Collaboration: Work closely with development, QA, and operations teams to ensure smooth software releases and effective communication.
• Security: Integrate security practices into the DevOps processes, including vulnerability assessments, access control, and compliance with industry standards.
• Incident Management: Troubleshoot and resolve issues related to application and infrastructure performance, ensuring high availability and reliability.
• Cloud Services Management: Manage and optimize cloud services (e.g., AWS, Google Cloud) for performance, cost, and scalability.
• Documentation: Maintain clear and comprehensive documentation for processes, systems, and procedures.
• Qaulifications.
• Education: Bachelor s degree in computer science, Engineering, or a related field, or equivalent practical experience.
• Experience: [Specify years of experience] years of experience in a DevOps or related role.
• Proficiency in scripting languages (e.g., Python, Bash, Powershell).
• Experience with infrastructure as code tools (e.g., Terraform, CloudFormation).
• Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI).
• Familiarity with containerization and orchestration (e.g., Docker, Kubernetes).
• Strong understanding of cloud platforms (e.g., AWS, GCP).
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK).
• Understanding of security best practices and tools.
• Preferred.
• Experience with serverless architectures and microservices.
• Experience in a fast-paced, agile development environment.
• Knowledge of network and security configurations in cloud environments.
• Strong problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and in a team.
• Certifications: e.g., AWS Certified DevOps Engineer, Google Professional DevOps Engineer are a plus.
• Location: True Digital Park, Bangkok.

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:

node.js, Golang, Python

Job type:

Full-time

• Design, develop, and maintain scalable and robust advertising systems across the stack (frontend, backend, mobile, and infrastructure).
• Build and optimize core features such as PPC models, bidding algorithms, and real-time ad delivery systems.
• Collaborate with product managers to understand advertiser needs and deliver impactful solutions.
• Experiment with new tools, frameworks, and methodologies to discover innovative advertising solutions.
• Develop intuitive dashboards and tools for advertisers using frameworks like React (Next.js) and Svelte (SvelteKit).
• Create and maintain backend services for ad targeting, campaign management, and analytics using Node.js, Golang, or Python.
• Contribute to mobile app features related to ad placements and reporting using Flutter.
• Ensure the stability and scalability of our advertising infrastructure using Kubernetes, Docker, and cloud platforms (GCP, AWS).
• Implement and uphold high-quality testing practices, including unit and integration tests for ad-related features.
• Proactively participate in code reviews, offering and receiving constructive feedback.
• Collaborate with cross-functional teams to integrate new advertising technologies effectively.
• Basic Qualifications We value skills and a willingness to learn. You should have proficiency in some of the following or be eager to learn them:Backend languages (e.g., Node.js, Golang, Elixir, Python).
• Frontend frameworks (e.g., React, Svelte).
• Mobile development tools (e.g., Flutter).
• Data pipeline for advertisement systems.
• In addition, you should:Focus on making the product successful and helping users achieve their goals, not just completing tasks.
• Have experience with Docker, Kubernetes, and cloud infrastructure (GCP, AWS).
• Be familiar with CI/CD pipelines and source control tools like GitHub.
• Understand database systems that are suitable for advertisement systems.
• Be curious, experimental, and open to learning from failure.
• Possess strong communication skills and thrive in collaborative Agile environments.
• Be self-motivated, adaptable, and team-oriented, with a strong work ethic.
• Preferred Qualifications We re especially excited if you bring:Proficiency in at least one backend language, one frontend framework, and mobile development tools.
• Experience building advertising platforms, including PPC models, bidding systems, or ad delivery networks.
• A deep understanding of ad performance metrics and optimization techniques.
• Strong system design skills, including the ability to make logical, long-term trade-offs.
• An eye for detail and a passion for creating user-centric advertising tools.
• The ability to adapt to a fast-paced, rapidly changing environment, driven by our vision to empower advertisers and businesses alike.
• Perks & Benefits Flat Structure As we continue to grow fast, we strive to retain our culture where everyone is heard, contributes, and grows with the company..
• Work-life Harmony We believe that quality time outside of work is important to sustaining a healthy and happy lifestyle.
• Remote Work Hybrid-mode activated! It comes with the package: flexibility, focus and productivity!.
• Urban Office One breath from Phrom Phong BTS. No sweat whatsoever! The office should also feel like a second home so we dedicated a lot of care and resources into building the best environment for you to wake up to every morning.
• Fun Workshop The best relationships are built over new experiences, that s why we have workshops filled with a range of activities for you to look forward to and enjoy.
• Game Tournament It s getting fun and competitive! Challenge doesn t only have to come from work. Own the championship and show the peeps how great of a gamer (and player) you are.
• Group Insurance Health comes first, we know, don t worry, we ve got you covered.
• Health & Wellness Only a healthy army wins the war. We invest to take care of you from physical, mental and happiness-level. Adopted health & wellness applications plus activities to make sure everyone here is on cloud nine

Skills:

Python, SQL, Analytical Thinking, English

Job type:

Full-time

• English as working language.
• Minimum of 3 years data analytics related working experiences.
• At least 1 year of working experience directly communicate to business team.
• Proficient in Python or SQL.
• Advanced hands on experiences with visualization tool.
• Strong communication and analytical thinking skills.
• Good balance of data and business knowledge.
• Fintech or banking industry.
• Internet companies with mobile application.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

Skills:

Research, Statistics, Python, English

Job type:

Full-time

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capability.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred Qualifications Master s or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• 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:

1 year required

Skills:

Automation, Selenium, Python, English

Job type:

Full-time

• Estimate time plan for each automation project.
• Analyze and Design Component and Script to automation test.
• Use Automation Testing Tool to operate test in test phase.
• Perform software testing activities and report the test result with Robot Framework and/or selenium.
• Work cooperatively with software developers to isolate software defects found in testing process.
• Perform regression testing.
• Escalate Test Result and issue to application owner.
• Bachelor s Degree in Computer Science, Computer Engineering, Information Technology or any related field.
• At least 1 year working in automation testing.
• Good command in Robot framework and/or Selenium.
• Experienced with designing and implementing test.
• Skills in some of these languages; Python, Java, C#, Javascript, PHP or other coding languages.
• Knowledge in both functional and performance testing.
• Pro-active, self-motivated, systematic thinking, faster learning and willing to contribute.
• Able to speak Thai fluently and basic command in English.

Skills:

Excel, Python, Power BI

Job type:

Full-time

• Identify and provide list of non-performing inventory, never been sold inventory, non-Planogram, Inventory to Merchandise & Buyer, follow up action and simulate impact from Mark down price.
• Analyze root cause which impact to non-performing inventory increasing and provide conclusion and recommendation for next step action in term of work in a process with relevant parties.
• Work with Store Operations to follow up execution to clear these inventory.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
• Have experience in Inventory Analyst, Inventory Planning, Inventory Control at least 5 Years.
• Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Power Query, Tableau.
• Have experience in Retail business /FMCG would be advantage.
• Good Analytic skills.

Experience:

3 years required

Skills:

Automation, Selenium, Python, English

Job type:

Full-time

• Meeting with development managers to discuss software specifications and controls.
• Designing automated test procedures to evaluate each software product.
• Building, coding, and implementing software evaluation test programs.
• Running test programs to ensure that testing protocols evaluate the software correctly.
• Finalizing and documenting testing procedures.
• Completing final tests and creating test reports.
• Presenting test reports to management and suggesting software fixes.
• Bachelor s degree in Computer Science, Computer Engineering, Information Technology or related fields of study.
• At least 3-5 years working in automation testing.
• Good command in Robot framework and/or Selenium.
• Experienced with designing and implementing test.
• Skills in some of these languages; Python, Java, C#, Javascript, PHP or other coding languages.
• Knowledge in both functional and performance testing.
• Pro-active, self-motivated, systematic thinking, faster learning and willing to contribute.
• Fluent in Thai with good command of English communication.

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.

Skills:

Automation, DevOps, Python

Job type:

Full-time

• Works closely with Tech Leads and developers of various teams to develop automation pipelines and CI/CD.
• Develops self-serve tools/artefacts to development teams to support the SDLC (e.g. containerized dev env, testing env etc.).
• Configures the infrastructure using IaaS/PaaS products and own developed tools.
• Actively participates in deploying application artifacts to appropriate target environments using the supported technologies and infrastructure.
• Participates in planning delivery time, code quality, and process efficiency improvement projects.
• Performs maintenance tasks as infrastructure health checks and monitoring.
• Identifies bottlenecks in development and deployment processes and designs automation solutions to mitigate.
• Maintains and grows knowledge of platform configuration management, monitoring, and troubleshooting.
• Collaborates with the rest of DevOps team to deliver consistent and holistic solutions to the organization.
• RequirementsExcellent scripting skills (e.g. Python, Bash, Perl).
• Experienced with building and maintaining large scale, cloud-based container-based platforms (in IaaS and PaaS).
• Working knowledge of deployment automation solutions (i.e. Terraform, Puppet, Chef, Ansible).
• Experienced AWS platform (certification is a plus).
• Experienced with containers and Kubernetes.
• Experienced with continuous integration and related tools such as GitlabCI, Jenkins, Hudson, Maven, Ant, Git, Sonar, etc.
• Familiar with security automation tools such as static application security testing etc.
• Strong understanding of Agile methodologies.
• Experience as a DevOps or SRE Engineer on a cross-functional agile team preferred.
• BenefitsHealth Insurance - At Maknet, we care about your health! Group insurance from a top insurance company is included in your benefits OPD, IPD, Emergency OPD.
• Provident Fund - Maknet cares about your long-term plan! We offer 3% provident fund.
• Year-end bonus - We include variable and performance bonus for our employees.
• Gym Facilities - Our Head office has a fitness center, yoga room, and recreational space. Enjoy Bangkok scenery and work your body!.
• Attractive Vacations days - Enjoy our attractive annual leave. Let s say the minimum is 18 days!.
• Flexible working hours - We know people have different productive cycles. Choose your way of work whether you are a night owl or an early riser.
• No overtime - We work 5 days a week with. We set our own goals and deadlines.
• Cool hardware - New MacBook. The tool to help you be the best of yourself.
• Free car parking space - No more stress or extra cost if you drive to work. We offer free parking space for our employees.
• Best Culture.
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Non-hierarchical and agile environment.
• Growth opportunity and career path.

Skills:

Automation, Assurance, Python

Job type:

Full-time

• Develops testing programmes throughout the entire technologies lifecycles that address areas such as functionality, compatibility, reliability and usability.
• Leads a wide range of quality control planning and execution activities in alignment with the organisation's standards and strategy to ensure that software meets or exceeds specified business and customer needs.
• Brings together testing requirements by evaluating the product requirement specifications (functional / non-functional) and raise clarifications with product owners, bu ...
• Develops, implements and maintains test scripts/cases autonomously- manual, automation, performance, and supporting analysis. Assigns required tests to Associates.
• Leads the ongoing maintenance of customer technologies, resolving issues and advancing where necessary.
• Recommends and supports the implementation of improvements to quality control frameworks, processes and standard methodologies.
• Builds trusting relationships with team and colleagues, collaborating closely with the team.
• Communicates clearly with and keeps clear lines of communication open to ensure full understanding of tasks, asking questions where needed.
• Qualifications & Experience: Degree in Computer Science, Software Engineering or equivalent.
• ISTQB Core Advanced Certified or equivalent is a plus.
• Exhibits good knowledge in software quality assurance processes and methodologies.
• Experience in Automate testing.
• Ability to code in Python or Java.
• Exhibits good experience in the software development life cycle and one programming language, preferably in multi-tiered applications.
• At LSEG Bangkok, you can be your best self. Our open and inclusive culture and collaborative communities connect colleagues from across the world, and a host of skill development programmes support our people's personal and professional growth. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Experience:

5 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.
• At least 5 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.

Experience:

5 years required

Skills:

Data Analysis, Automation, Python

Job type:

Full-time

• Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
• Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
• Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
• Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
• Collaborate with internal team and partner to scale up development to production.
• Maintain and fine tune existing analytic model in order to ensure model accuracy.
• Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
• Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
• Be Project manager for Data project and manager project scope, timeline, and budget.
• Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
• Control / manage / govern Level 2 support, identify, fix and configuration related problems.
• Keep maintaining/up to date of data modelling and training model etc.
• Run through Data flow diagram for model development.
• EDUCATION.
• Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
• EXPERIENCE.
• At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
• Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
• Experience developing and deploying machine learning model in production environment.
• Knowledge in oil and gas business processes is preferrable.
• OTHER REQUIREMENTS.

Experience:

3 years required

Skills:

ETL, Apache, Python, 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.
• 2-5 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.

Experience:

5 years required

Skills:

Python, ETL, Compliance

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).