ABOUT EXODUSPOINT
ExodusPoint Capital, founded in 2017 by Michael Gelband, began managing investor capital in 2018. The firm employs a global multi-strategy investment approach, seeking to deliver compelling asymmetric returns by combining complementary liquid strategies managed by experienced investment professionals within a robust risk framework. ExodusPoint brings together an accomplished team with hands-on experience running multi-manager businesses to create an institutional investment management firm.
Quantitative Research Intern – Systematic FICC - Hong Kong
About the Team
The Systematic Rates team researches and runs fully systematic, data-driven strategies in global interest FICC markets. We combine solid statistics, careful engineering and a good feel for how markets work to build and improve systematic trading strategies.
The Role
You'll work closely with the portfolio manager. You'll do hands-on research and development across the whole strategy process, and you'll own real projects with real impact, not side tasks.
Responsibilities
- Research, prototype and backtest systematic strategies across FICC products such as swaps and foreign exchange.
- Build and maintain production pipelines, research tools and analytics libraries.
- Run statistical analysis on market data: signal research, factor analysis, regime analysis, and transaction cost and capacity studies.
- Help monitor and analyse the performance and risk of live strategies.
- Write clean, tested, well-documented code that the team can rely on and reuse.
Requirements
- Strong coding skills. You're proficient in Python (or a similar language). You can design, write, debug and explain your own code. We expect real engineering ability, not just prompting AI tools for code you can't reason about.
- Strong math and statistics. You're comfortable with probability, linear algebra, regression and time-series analysis.
- Basic knowledge of financial instruments. You understand FICC market at a foundational level, and you're keen to learn more.
Nice to Have
- Experience on a fixed income or rates desk (trading, research or strategy). This is a plus, not a requirement.
- Experience with pandas, NumPy, SciPy, statsmodels or similar, plus SQL and version control (Git).
- Experience with backtesting frameworks, or with large and messy financial datasets.
Availability
- Start date is as soon as possible.
- Full-time placement preferred for a season (e.g., an off-cycle).
- Duration will be 3 - 6 months in our Hong Kong office
- Part-time candidates can be considered who can commit to at least 4 days a week.
