Credit Risk Model Validation Analyst, Loss & Balance Forecasting (Hybrid)

Citigroup Inc.; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Citigroup Inc. in Bengaluru seeks a Credit Risk Model Validation Analyst to validate risk models and strengthen tools used for market, credit, and operational risk. You will work on Loss Given Default studies, score model evaluation, and policy recommendations in a hybrid setup with in-office and remote days.

The role offers exposure to real-world credit risk modeling, data analysis, and collaborative stakeholder engagement within Citi's risk teams.

Qualifications

• 2 to 4 years of relevant experience in risk analytics or a related quantitative field.
• Working knowledge of Excel, R, or Python.
• Ability to analyze data and translate findings into clear conclusions.
• Ability to spot inconsistencies in data and define the underlying business issue.
• Capable of turning analysis into practical recommendations on policies or procedures.
• Strong communication skills for presenting to different audiences.
• A master's degree or equivalent experience.

Responsibilities

• Validate credit risk models used to measure obligor risk and support early warning tools.
• Conduct data analysis for Loss Given Default studies and contribute to model development.
• Evaluate and apply scoring models to strengthen credit risk policies.
• Maintain core risk parameters including default data and rating migrations.
• Spot gaps in risk policies and help shape new ones.
• Translate data analysis into clear, actionable recommendations.
• Document models and validation processes for audit readiness.
• Present findings to stakeholders and manage project components.

Skills

Analytical thinking

Credible challenge

Data analysis

Policy understanding

Risk management lifecycle

Education

Master's degree

Tools

R

Python

Excel

SAS

Job description

As a Credit Risk Model Validation Analyst, you will validate and strengthen the models and tools Citi relies on to measure market, credit, and operational risk. You will work on Loss Given Default studies, credit risk model validation, and early warning tools that directly shape how Citi manages risk across its lending portfolios. This role sits within a team that maintains the analytical foundation behind Citi's risk decisions, offering hands-on exposure to real-world credit risk modeling and data analysis.

• Validate credit risk models used to measure obligor risk and support early warning tools for corporate and consumer portfolios.
• Conduct data analysis for Loss Given Default studies and contribute directly to model development.
• Evaluate and apply scoring models to strengthen credit risk policies and decision-making.
• Maintain core risk parameters, including default data, rating migration data, usage given default data, and transition matrices.
• Spot gaps in existing risk policies and help shape new ones to close them.
• Translate data analysis into clear recommendations grounded in credit risk expertise.
• Document models, methods, and validation processes so they are clear, reproducible, and audit-ready.
• Manage individual projects or specific components of larger initiatives, and present findings to stakeholders.

Required Qualifications & Skills

• 2 to 4 years of relevant experience in risk, analytics, or a related quantitative field.
• Working knowledge of data analysis tools such as Excel, R, or Python.
• Demonstrated skill in analyzing data and translating findings into clear conclusions.
• Ability to spot inconsistencies in data or results and define the underlying business issue.
• Capability to turn analysis into practical recommendations on policies or procedures.
• Strong communication skills, with the ability to present information clearly to different audiences.
• A master's degree, university degree, or equivalent experience.

Beneficial Skills & Qualifications

• Background in Quantitative Finance, Risk Management, Analytics, Model Development, or Model Validation.
• Experience building or validating risk measurement models.
• Exposure to credit risk analysis, particularly developing early warning tools.
• Familiarity with industry standards and practices in credit risk management.
• Knowledge of SAS in addition to R or Python for data analysis.

You will build deep technical expertise in credit risk modeling while working alongside experienced analysts who shape how Citi measures and manages risk globally.

• Hands-on development in credit risk model validation, with exposure to real portfolios and real decisions.
• Structured learning and development support to build your analytical and risk management skill set.
• A hybrid work arrangement with 3 days in the office and 2 days working remotely.
• Collaboration with global risk teams, giving you visibility into how Citi operates at scale.
• Resources supporting financial wellbeing, family support, and work-life balance.

Job Family Group:

Risk Management

Job Family:

Model Validation

Time Type:

Full time

Most Relevant Skills:

Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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