Join As Credit Risk Model Validation Analyst At Citi | Apply Now

Join As Credit Risk Model Validation Analyst At Citi | Apply Now

Job Overview:

Skills: Excel R Python SAS Data Analysis Risk Management Model Validation Analytical Thinking

Build a career in risk analytics as a Credit Risk Model Validation Analyst at Citi

Citi is hiring a Credit Risk Model Validation Analyst for its Bangalore and Mumbai locations with a hybrid work setup. This full-time role is ideal for professionals with 2 to 4 years of quantitative and risk analytics experience.

Who Can Apply?

• Applicants with 2 to 4 years of relevant experience in risk, analytics, or a related quantitative field.
• Candidates holding a master's degree, university degree, or equivalent experience.
• Individuals with working knowledge of data analysis tools such as Excel, R, or Python.
• Professionals with strong communication skills and the ability to present information clearly.

About Citi:

Citi is a multinational financial services corporation that provides consumers, corporations, governments, and institutions with a broad range of financial products and services. It offers global exposure and structured learning opportunities to help professionals build deep technical expertise in risk management.

What You Will Do as Credit Risk Model Validation Analyst

• Model Validation: Validate credit risk models used to measure obligor risk and support early warning tools for corporate and consumer portfolios.
• Data Analysis: Conduct data analysis for Loss Given Default studies and contribute directly to model development.
• Policy Application: Evaluate and apply scoring models to strengthen credit risk policies, spot gaps, and shape new procedures.
• Risk Parameters: Maintain core risk parameters including default data, rating migration data, usage given default data, and transition matrices.
• Documentation: Document models, methods, and validation processes to ensure they are clear, reproducible, and audit-ready.
• Stakeholder Presentation: Manage individual projects, translate data analysis into clear recommendations, and present findings to stakeholders.

Skills Required:

Data and Analytics Tools. Working knowledge of Excel, R, Python, and SAS for data analysis and model building.

Risk and Governance. Familiarity with credit risk management, model validation, and the risk management lifecycle.

Communication. Strong ability to translate complex data into practical recommendations and present findings clearly.

Basic Qualifications:

• 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.
• Master's degree, university degree, or equivalent experience.

Preferred 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 and early warning tool development.
• Knowledge of SAS in addition to R or Python.

Benefits:

• Hands-on development in credit risk model validation with real portfolios.
• Structured learning and development support.
• Hybrid work arrangement with 3 days in office and 2 days remote.
• Collaboration with global risk teams.
• Resources supporting financial wellbeing, family support, and work-life balance.

Why Citi?

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

How to Prepare

Our tips, based only on what the listing asks for:

• Brush up on your data analysis skills using tools like Excel, R, Python, and SAS.
• Review core concepts in quantitative finance, risk management, model development, and credit risk analysis.
• Prepare to discuss past experience in analyzing data and translating findings into practical recommendations.
• Practice presenting technical data insights clearly to different audiences.

What the Listing Does Not Mention

• No last date to apply is mentioned in the job posting.
• No salary package or CTC details are provided.
• No specific total vacancy count is specified.

How to Apply: Citi

1. Click the apply link below to access the official job posting on the Citi careers portal.
2. Review the job description and eligibility requirements carefully.
3. Submit your application and resume through the Workday portal before the posting is closed.

Join Citi to shape risk models that protect credit portfolios and strengthen global decision-making.

Important Links:

Frequently Asked Questions:

What qualification is required?

Required qualification: Master's or University Degree. See the eligibility section above for details.

What experience is required for this role?

The role requires 2 to 4 years of relevant experience in risk, analytics, or a related quantitative field.

What are the job locations?

The job locations are Bangalore, Karnataka and Mumbai, Maharashtra, India.

Is this a remote or office job?

It is a hybrid work arrangement with 3 days in the office and 2 days working remotely.

What tools are needed for this position?

Working knowledge of data analysis tools such as Excel, R, or Python is required, with SAS as a beneficial skill.

Stay safe: Citi does not charge any fee to apply or to give an interview. If anyone asks you for money for a job, a referral or an offer letter, it is a scam.

Source: the official Citi careers listing for this role.

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Disclaimer: This job post is for information only. All applications and questions should go to Citi through the official process.

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