Quant jobs / JPMorgan
Quantitative Research – Risk Off-Cycle Internship 2027
Off-cycle internship in the quantitative modelling programme covering risk and treasury. Interns develop and review models and maintain risk tooling.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Analyse data for patterns and run backtests of strategies
- Review models for conceptual soundness and suggest improvements
- Maintain and extend software used by risk and treasury teams
- Help build and validate mathematical models across asset classes
What they ask for
Required
- Enrolled on a Master's in a quantitative subject
- Graduating between September 2026 and March 2028
- Python and/or C++
- Modelling and problem solving
- Communication of complex ideas
Preferred
- R, MATLAB or SQL
- Banking products and market dynamics
- Familiarity with AI tools for research and coding
- Education
- Master's student in maths, statistics, physics, engineering, computer science, economics or data science
- Experience
- Students; potential full-time offer after the programme
- Languages and tools
- Markets
- multi-asset
How to prepare
- Backtest a simple VaR model and check exceedances in Python
- Learn how model validation judges assumptions and limitations
- Build a small ALM or interest-rate-risk example with a rate shock
- Review SR 11-7 style model risk basics
What to study
- Quantitative Risk Management
- Probability, Statistics and Financial Data
- Python for Quantitative Finance
- Fixed Income and Interest-Rate Models
The Risk Quant roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on JPMorgan’s site before applying: requirements, location and pay can change after we check them.
View the posting on JPMorgan’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with JPMorgan and doesn’t handle applications.
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