Research Data Analytics Engineer

Our client is a leading International Investment Management Company looking for an outstanding and experienced candidate for the position of Research Data Analytics Engineer to enlarge our Vietnam based team of high cooperation and continued learning.

The job description includes the following but is not limited to the specifications contained herein.

• Design and build robust and scalable databases for storing market, finance data.

• Develop and continuously improve, maintain data workflow to ingest, clean, validate, and transform structured and unstructured data.

• Ensure systems run reliably, efficiently in production environments, ensure data integrity throughout the migration process.

• Create and maintain comprehensive documentation for data processes, ensuring knowledge transfer, observability and supportability.

• Coordinate to manage, maintain and develop report upon requests.

• Coordinate to provide input, macroeconomic and equity market figures for all type of materials, presentations, reports upon requests.

• Ensure the secured filing of documents, data, and compliance with applicable computer security rules.

• Research, build and apply AI solutions / AI agent to support departmental activities and improve work efficiency.

• Explore and guide team members in leveraging technology, automation, and AI, IT tools to improve workflows complying with data security requirements, etc

• Perform other tasks as required by Research Data Analytics Manager / Officer, Head of Advisory, Departments and Chief Representative.

Must-Have:

• Degree in Computer Science, Quantitative Finance, Mathematics, Data Engineering, or related fields.

• 1–3 years’ experience in Quant Development, Data Engineering, or Data Analytics.

• Strong Python skills.

• Experience with SQL, NoSQL, data warehousing, Airflow, ETL frameworks.

• Familiarity with data visualization tools, especially Power BI.

• Hands-on experience with APIs, Docker, and Git-based workflows.

• Knowledge of quantitative finance concepts (alpha models, factor modeling, financial time series).

• Strong planning, problem-solving, decision-making, teamwork, and leadership skills.

• Able to work under pressure, proactive, and initiative-taking.

• Fluent in English and Vietnamese (listening, writing, presentation).

Nice-to-Have / Bonus:

• Familiarity with C# or Java.

• Knowledge of Azure Data Services and Apache Spark.

• Experience deploying AI/ML models for prediction, classification, or time-series analysis in finance.

Why Join Us

• Salary: Negotiable / Thỏa thuận

• Work in a dynamic, innovative, international environment.

• Apply cutting-edge AI/ML and data analytics in financial research.

• Be part of a collaborative team that encourages learning and growth.

• Competitive and negotiable salary.

• Opportunities for training, career progression, and hands-on project experience.