Model Risk Analyst

Criteo; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

The Model Risk Analyst role is part of the Model Risk Management team within Risk. The position focuses on validating and enhancing risk models, with an emphasis on retail lending scorecards, and expanding automation of validation workflows.

Responsibilities include validating wholesale and market risk models, conducting quantitative and qualitative testing, calibration, and sensitivity analysis, and presenting findings to stakeholders with clear recommendations.

Qualifications

• Bachelor’s degree in a quantitative field (Mathematics, Statistics, Engineering, Economics or related)
• Master’s degree in a relevant field (preferred)

Responsibilities

• Lead initiatives to enhance the accuracy, granularity, and coverage of model validation processes.
• Develop tools to automate model validation workflows and improve process efficiency.
• Independently perform statistical and mathematical model development or validation, focusing on retail lending scorecards.
• Validate wholesale rating models with quantitative and qualitative testing, PD calibration, discriminatory power analysis, sensitivity analysis, and rating migration testing.
• Validate market risk models including VaR, derivative valuations, bootstrapping, and interest rate/FX simulations.

Skills

Statistical modeling

Mathematical modeling

Python

R

SAS

Risk modeling frameworks

Regulatory expectations

Analytical mindset

Independent work

Communication skills

Education

Bachelor’s degree in Mathematics, Statistics, Engineering, Economics or related field

Master’s degree in a relevant field (preferred)

Tools

Python

R

SAS

Job description

Job Requirements

About the Role

The Model Risk Analyst in the Model Risk Management (Market Risk) team under the Risk function is responsible for validating and enhancing the bank’s risk models. This includes improving the accuracy, coverage, and automation of model validation processes, and independently validating statistical and mathematical models, particularly for retail lending scorecards. The role also involves supporting the validation of wholesale and market risk models, ensuring robust risk management practices across the organization.

Key Responsibilities

Primary Responsibilities

• Lead initiatives to enhance the accuracy, granularity, and coverage of existing model validation processes.
• Develop tools to automate model validation workflows and improve process efficiency.
• Independently perform statistical and mathematical model development or validation, with a focus on retail lending scorecards.

Secondary Responsibilities

Conduct validation of wholesale rating models, including:

• Quantitative and qualitative testing
• PD calibration
• Discriminatory power analysis
• Sensitivity analysis
• Rating migration testing

Validate market risk models such as:

• Derivative and fixed income valuations
• Bootstrapping
• Value at Risk (VaR)
• Sensitivity and capital charge models
• Interest rate and foreign exchange simulations

What We Are Looking For

Education

• Graduation: Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Engineering, Economics, or related fields
• Post-graduation: Master’s degree or higher in a relevant field (preferred)

Experience

• Minimum 1 year of experience
• Relevant experience in model development or validation, particularly in retail lending, wholesale credit, or market risk models

Skills and Attributes

• Strong understanding of statistical and mathematical modeling techniques
• Proficiency in tools such as Python, R, SAS, or similar statistical software
• Familiarity with risk modeling frameworks and regulatory expectations
• Analytical mindset with attention to detail and problem-solving skills
• Ability to work independently and manage multiple validation projects
• Strong communication skills to present findings and recommendations effectively