Model/Anlys/Valid Intmd Anlyst - C11 - MUMBAI

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Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.

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Model Risk Management

Model Risk Management (“MRM”) provides oversight for the MRM Framework, which consists of the policy, processes, and procedures. The Mumbai center is one of the six MRM locations across the globe.

The team is responsible for development and maintenance of Model Risk Management Policy and procedures, for evaluation and approval of high, medium and low risk models used in global consumer risk management.

The validator role will be part of the Consumer Valuation Models group within Model Risk Management. His/her primary function is to conduct validation activities for Consumer risk scoring and segmentation models. The role is very critical to the organization as the authorization on the use of the BAU models is based on MRM’s validation results. The member will adhere to the MRM’s firm-wide policy, procedures, and guidelines.

Key Responsibilities

·Conduct model assessment as per the requirements outlined in the MRM Policy, Procedures, and Guideline

·Provide effective challenge to the model design and construction and conduct incremental analysis and testing as necessary.

·The assessment also requires writing a comprehensive validation report based on his / her judgment of the validation results.

·Identify model limitations and ensure the appropriate remediation actions are in place and monitored.

·Challenge and continually improve MRM Guidelines on modeling approaches and model performance testing.

·Contribute to strategic, cross-functional initiatives within MRM organization.

·This position provides a very significant amount of learning and growth opportunities from technical perspective. The incumbent will be exposed to different areas of business operations and a variety of modeling approaches, including machine learning on top of industry standard tools.

Required Qualifications

·Masters with a specialization in Statistics, Mathematics, Ecomonics or other quantitative discipline.

·Higher academic qualifications and/or certifications such as a PhD, a second Masters degree is an advantage.

·Industry experience of 4-6 years in consumer finance.

·Have strong written and oral communication skills.

·Good Knowledge in programming skills (SAS, SQL, R, Python, VBA, etc.)

·Understanding use of statistical models in making business decisions. The ability to interpret and analyze large volumes of data, and at times complex information.

·Knowledge of control frameworks and governance within a financial institution.

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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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