Machine Learning Engineer

The Team: The DBS Global Financial Markets Technology - AI/ML Team works with stakeholders across all pillars of the Global Financial Markets to create data driven solutions for sales, marketing and trading platforms. As a Machine Learning Engineer, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of financial products and instruments to drive significant business impact.

Responsibilities:

• Leverage financial data to create data science solutions for hyper-personalization, dynamic pricing and trade analytics.
• Collaborate with quants and traders to solve optimization problems using machine learning and quantitative methods.
• Research and evaluate ML models and algorithms to ensure best practices.
• Implement and optimize AI/ML models using advanced computing techniques.
• Build and deploy machine learning systems, microservices, and reusable libraries.

Minimum Requirements:

• Degree in Mathematics, Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
• Experience in the data science lifecycle, working with structured and unstructured data.
• Strong understanding of machine learning concepts and their trade-offs.
• Proficient in Python, SQL, and software development best practices.

Nice to Have:

• Knowledge of econometrics, statistical modelling, time-series analysis, and causal inference.
• Experience with A/B testing, bandit experiments, and multivariate analysis.
• Knowledge of LLMs, generative AI frameworks, and prompt engineering.
• Experience in financial markets, understanding key market dynamics and drivers.
• Experience with reinforcement learning models and building scalable machine learning systems.