Quant jobs / JPMorgan

Consumer & Community Banking Risk Modeling – Summer Intern 2027

A summer internship in Chase's consumer risk modelling teams working on credit decisions, fraud and loan loss reserves. It is aimed at PhD and Master's students with ML or data science skills.

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.

Prototype ML models for credit decisions, fraud or loss reserves
Explore recent research in deep learning, NLP, time series and interpretability
Work with stakeholders on model-driven business change
Handle sensitive data under governance rules

What they ask for

Required

Enrolled in a PhD or 2-year Master's
Graduation between December 2027 and July 2028
ML and data science theory
Python proficiency
Analytical research ability
Presenting to non-technical audiences

Preferred

PyTorch and XGBoost
PySpark and SQL
Java, C++, C# or Rust
Reinforcement or transfer learning
Transformers
Probability, Monte Carlo and econometrics

Education: Enrolled in a PhD or 2-year Master's in maths, science, engineering, CS or similar
Experience: Students graduating December 2027 to July 2028
Languages and tools: Python
PyTorch
XGBoost
PySpark
SQL
Markets: credit

How to prepare

Build a fraud or default classifier with gradient boosting and evaluate with proper validation
Learn model interpretability tools such as SHAP
Practise Spark or SQL on a large public dataset
Read about fairness and ethics in credit models

What to study

The Risk Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

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.