Quant Credit Intern

ExodusPoint Capital Management, LP

. Build dashboards and analytics for the trading team .

Posted 10/18/2026internshipPhiladelphia • Pennsylvania • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong quantitative analysis and coding skills, particularly in Python, to develop tools and dashboards for trading analytics. Applies statistical knowledge and problem-solving abilities to enhance trading strategies and automate data processes.

Highest-signal resume keywords

Python ProgrammingQuantitative AnalysisStatistical KnowledgeData Pipeline DevelopmentMarket Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative SkillsData AnalysisStatistical AnalysisCoding SkillsBacktesting

Soft Skills

Problem-SolvingAttention to DetailCuriositySelf-MotivationIndependence

Tools & Technologies

Claude CodeCodexData Analytics ToolsAI Development Tools

Industry Keywords

TradingCorporate Credit MarketsLiquidity AnalysisMarket DislocationsRelative-Value Opportunities

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Build dashboards and analytics for the trading team
Analyse market, pricing and trading data
Develop tools to identify relative-value opportunities and market dislocations
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 assess their practical usefulness
Work directly with traders to understand problems and build practical solutions
Use Claude Code and Codex to improve development speed and efficiency
Apply quantitative skills to day-to-day trading problems in a live trading environment

Requirements

What you’ll need

Currently studying, or recently completed, a degree in Computer Science, Mathematics, Statistics, Physics, Engineering, Data Science or another quantitative field
Strong coding skills, particularly Python
Experience working with data and quantitative analysis
Good understanding of statistics and probability
Comfortable using modern coding and AI development tools
Strong problem-solving skills and attention to detail
Curious, self-motivated and comfortable working independently
Interest in markets and trading
Ability to work from the Philadelphia office during the internship
Graduate-level study is helpful but not required
Previous Credit or financial markets experience is not required
Previous experience or coursework in markets, quantitative finance, machine learning or trading is useful but not essential

Benefits

Comp & perks

Full-time internship lasting approximately 3–4 months
Potential longer-term opportunity depending on performance and team needs