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

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.
• Apply now to help shape the risk models that protect Citi's credit portfolios and strengthen its decision-making.
• #LI-VR2

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Qualifications

• Familiarity with industry standards and practices in credit risk management.