Quant jobs / Citi

Model Validation 2nd LOD Intermediate Analyst – C11

A model validator role at Citi focused on mortgage loss forecasting models and credit risk parameters. It works under a validation lead within the second line of defence.

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.

Validate mortgage loss forecasting models and run annual and ongoing reviews
Challenge model development on low and medium risk-rated models
Check remediation of model limitations
Support regulatory and audit responses
Help prepare materials for senior model risk management

What they ask for

Required

4+ years of experience
Programming in SAS, Python or VBA
Knowledge of mortgage products and markets
Time series, statistics and econometrics
Technical writing
Data analysis and interpretation

Preferred

Quantitative finance, risk or model validation experience

Education: Master's degree in maths, statistics, economics, finance or similar
Experience: 4+ years
Languages and tools: SAS
Python
VBA
Markets: credit

How to prepare

Study how mortgage losses are forecast with prepayment, default and severity components
Practise time series regression and out-of-sample testing in Python
Learn the model risk validation checklist
Write up a model review in clear technical prose

What to study

The Model Validation 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 Citi’s site before applying: requirements, location and pay can change after we check them.

View the posting on Citi’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Citi and doesn’t handle applications.