Quant Credit Intern - PA (Hybrid) - December 2026
About The Position
ExodusPoint is seeking a Quantitative Intern to join its Corporate Credit investment team in Philadelphia. The intern will work directly with traders on analytics and tools for monitoring markets, identifying opportunities, and managing risk. The team trades investment-grade Corporate Credit across new issues and secondary markets, and the role focuses on using market and trading data, developing analytics, automating processes, and improving how information is presented to the desk. The internship is intended to be in-person and full-time for approximately 3–4 months. Candidates should be able to work from the Philadelphia office during the internship, but do not need to currently live or study there. A longer-term opportunity may be possible depending on performance and the team’s needs.
Requirements
- Currently studying, or recently completed, a degree in Computer Science, Mathematics, Statistics, Physics, Engineering, Data Science, or another quantitative field.
- Strong coding skills, particularly in Python.
- Experience working with data and quantitative analysis.
- A good understanding of statistics and probability.
- Comfort using modern coding and AI development tools.
- Strong problem-solving skills and attention to detail.
- Curious, self-motivated, and comfortable working independently.
- An interest in markets and trading.
- Able to work in person from the Philadelphia office during the internship.
Nice To Haves
- A combination of Computer Science and Mathematics or Statistics.
- Graduate-level study.
- Previous experience or coursework in markets, quantitative finance, machine learning, or trading.
Responsibilities
- Build dashboards and analytics for the trading team.
- Analyse market, pricing, and trading data.
- Develop tools to identify relative-value opportunities and market dislocations.
- Help improve intraday P&L, position, and risk analytics.
- Analyse liquidity and dealer activity across Corporate Credit markets.
- Automate existing data and analytical processes.
- Build and improve data pipelines used by the desk.
- Backtest quantitative ideas and help assess whether they are useful in practice.
- Work directly with traders to understand problems and build practical solutions.
- Use tools such as Claude Code and Codex to improve development speed and efficiency.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
