2027 Management Associate Programme - GFM011 COD Data

'Business Function

As an Asian leader in treasury operations, DBS Global Financial Markets (GFM) extends a broad range of capabilities ranging from trading, structuring and sales in foreign exchange, interest rates, money market, credit, equity, commodities, bonds, derivatives and securities. We are a key player in various regional markets and actively make market, structure, originate, innovate and distribute a wide range of products.

Our extensive network in Asia and our growing Asian focused franchises helps expand our product outreach and deepen product penetration. Altogether, our specialists are working across our expanding branch network to offer a full range of products and exceptional levels of services to clients investing and hedging in the global markets.

DBS Global Financial Markets provides total solutions to serve DBS clients' hedging and investment needs with a regional emphasis. We have a strong record in providing innovative wealth management solutions to our individual investors. We are a leader in SGD and regional products with an excellent, customer-driven research capability and with cutting-edge risk management technology and systems.'

Key Responsibilities

• Engage with GFM stakeholders to understand business objectives, translate problem statements into analytical frameworks, and develop data-driven solutions under guidance and supervision.
• Perform Data Science work, including but not limited to developing data pipelines, dashboard visualizations, machine learning models, and Generative AI and Agentic AI solutions.
• Support the successful delivery of analytics initiatives, including pipeline deployment and model implementation with Technology Team, and adherence to AI governance standards.
• Undertake ad hoc projects and BAU activities to support team objectives, including prototyping emerging AI technologies and driving their adoption.

Requirements:

• Bachelor's or Master's degree in a quantitative discipline such as Business Analytics, Data Science, Quantitative Finance, Software Engineering, or a related field.
• Proficiency in Python, SQL, and Spark, with familiarity with the software development life cycle (SDLC) and development tools such as Git.
• Solid foundation in machine learning, statistics, and exposure to Generative AI and Agentic AI.
• Genuine interest in applying AI and analytics to the Financial Markets domain; prior experience in Financial Markets is a plus but not required.
• Strong analytical and problem-solving skills, effective communication and interpersonal abilities, and a proactive attitude with a strong work ethic.
• Candidates must be able to work 100% in office

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