Quant jobs / JPMorgan

Quantitative Research – Wholesale Credit Risk (Associate)

A credit risk modelling role supporting firmwide stress testing and loss forecasting. You work on default and loss models used for CCAR, CECL and IFRS 9.

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.

Build and update PD forecasting and rating migration models
Clean panel and time-series credit and macro data
Run model testing, monitoring and validation analyses
Maintain model code with the technology team
Write documentation for governance and regulators

What they ask for

Required

Master's or PhD in a quantitative field
1+ years of relevant experience
GLMs, logistic regression and time-series methods
Panel data handling
Hands-on Python
Technical writing

Preferred

PD, LGD and EAD modelling
CCAR, CECL or IFRS 9 exposure
Numerical methods
Monte Carlo and HPC
Interpretable ML in risk

Education: Master's or PhD in statistics, econometrics, economics, maths, engineering, CS, finance or physics
Experience: 1+ years of relevant experience
Languages and tools: Python
Markets: credit

How to prepare

Fit a PD model on public loan data with logistic regression and check calibration
Learn how CCAR and CECL use macro scenarios in loss forecasting
Study rating migration matrices
Practise writing a model development document

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.