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.
JOB DESCRIPTION
We are looking for a talented Intern to support the design and implementation of trading technology, quantitative analytics, and curated datasets underpinning our bond basis and relative-value strategies. The role emphasizes delivering reusable libraries, production-grade applications, and controlled environments used by traders across the desk. The successful candidate will collaborate with portfolio managers and engineering partners to build reliable pricing, risk, and workflow solutions across fixed income and credit products.
Responsibilities:
- Develop, maintain, and govern quantitative analytics libraries
- Design and build reusable, efficient Python and C++ components for pricing, risk, and curve construction.
- Support the development of trading infrastructures
- Deliver trader-facing applications and workflows:
- Pre-trade analyzers, RV screens, signal backtests, and workflow tools with clear documentation.
- Support Excel/Python tools used in production:
- Maintain complex Excel workbooks and Python-based applications; improve reliability, performance, and usability.
- Support any other ad-hoc tasks as required
Requirements:
- Bachelor's, Master’s, or PhD degree in a technical subject
- Prior internships in a markets-facing role
- Computer science, Statistics, Mathematics, Engineering, etc.
- Strong quantitative and analytical skills
- Python experience required
- Strong communication skills with a service-oriented, collaborative mindset; ability to learn new concepts and deliver under tight timelines.