Quantitative Research Intern

About the role

Join DRW’s quantitative research team in Singapore as an intern, tackling challenging problems in a trading environment using cutting‑edge statistical algorithms, machine learning, and derivatives pricing theory. You will work on non‑latency‑sensitive investment opportunities across multiple asset classes while gaining exposure to real‑world quantitative trading.

Key responsibilities

• Create practical solutions for systematic equity or fixed‑income options trading desks.
• Conduct statistical analysis of market data, historical trends, and cross‑asset relationships.
• Apply mathematical modeling, quantitative methods and machine‑learning techniques to identify trading opportunities.
• Collaborate with traders and researchers to build and refine research infrastructure and tools.

Required profile

• Pursuing a Bachelor’s, Master’s or PhD in Statistics, Optimization, Machine Learning, AI, Quantitative Finance or related fields, graduating between Dec 2027 and Aug 2028.
• Proficiency in Python and the Python machine‑learning stack (numpy, pandas, scikit‑learn, etc.).
• Strong analytical and problem‑solving skills with a solid foundation in statistics.
• Working knowledge of probability theory, stochastic calculus and numerical algorithms such as finite differences and Monte Carlo simulation.
• Experience handling large data sets; exposure to NLP or high‑performance computing is a plus.
• Excellent written and verbal communication skills.
• Publication in a top‑tier journal on NLP or HPC is an added bonus.

Required skills

• Python programming
• numpy, pandas, scikit‑learn
• Statistical analysis
• Probability theory & stochastic calculus
• Finite‑difference methods
• Monte Carlo simulation
• Natural Language Processing (NLP)
• High‑Performance Computing (HPC)

What we offer

• Meaningful, trader‑advised projects providing real‑world experience.
• Community events throughout the summer to explore Singapore and build friendships.
• Mentorship from experienced professionals, including regular goal‑setting meetings.
• Educational courses on options trading and technology immersion.