Quant jobs / Citi

Model Validation 2nd LOD Analyst

An entry-level to early-career validation role at Citi's second line of defence, covering market, credit and operational risk methods. It focuses on credit risk models, early warning tools and loss given default studies.

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 obligor credit risk models and early warning tools
Analyse data for LGD studies and help with model development
Maintain default, migration and usage given default data and transition matrices
Spot policy gaps and propose new policies
Document methods and present findings to stakeholders

What they ask for

Required

2-4 years of relevant experience
Data analysis in Excel, R or Python
Interpreting data and making recommendations
Finding inconsistencies in results
Concise written communication
Attention to detail

Preferred

Quantitative finance or model validation background
Building or validating risk models
Credit early warning tool experience
SAS

Education: Bachelor's degree or equivalent experience
Experience: 2-4 years of relevant experience
Languages and tools: Python
R
SAS
Excel
Markets: credit

How to prepare

Build a scorecard or PD model in R or Python and test its discrimination
Estimate a transition matrix and study its stability
Learn how LGD studies use recovery data
Write clear documentation for a data analysis exercise

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.