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

Citi; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Citi is seeking a Credit Risk Model Validation Analyst in Bengaluru, India, to validate and strengthen risk models used to measure market, credit, and operational risk. You will contribute to Loss Given Default studies and early warning tools across corporate and consumer portfolios.

You will work on data analysis, model validation, and policy recommendations, with the chance to shape risk decisions and collaborate with global risk teams in a hybrid work setup.

Qualifications

• Master's degree or equivalent.
• 2–4 years of risk/analytics experience.
• Proficient in Excel, R or Python for data analysis.
• Strong ability to translate data into actionable recommendations.

Responsibilities

• Validate credit risk models for obligor risk and early warning tools.
• Conduct data analysis for Loss Given Default studies.
• Evaluate scoring models to strengthen risk policies.
• Maintain risk parameters and data integrity; document methods clearly.
• Present findings to stakeholders and manage project components.

Skills

Excel

Python

R

Data analysis

Communication

Education

Master's degree

Tools

SAS

R

Python

Excel

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.

Responsibilities

• 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.

What We Offer

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.

Time Type

Full time

Most Relevant Skills

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

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