Vice President, Financial Modelling, Citi

Citi

Location:
India, Mumbai

Category:
Finance

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Quantitative Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Job Responsibility:

Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational
Manages model risk across the model life-cycle including model validation, ongoing performance evaluation and annual model reviews
Produces analytics and reporting used to manage risk for Citi's operations
Translates operational requests from the business into programming and data criteria and conduct systems and operational research in order to model expected results
Assists in the development of analytic engines for business product lines
Communicates results to diverse audiences
Conducts analysis and packages it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards
Participates on teams to solve business problems
Identifies modeling opportunities that yield measurable business results
Provides guidance to junior validators as and when necessary
Manages stakeholder interaction with model developers and business owners during the model life-cycle
Represents the bank in interactions with regulatory agencies, as required
Presents model validation findings to senior management and supervisory authorities
Provides effective challenge to model assumptions, mathematical formulation, and implementation
Assesses and quantifies model risk due to model limitations to inform stakeholders of their risk profile and development of compensating controls
Contributes to strategic, cross-functional initiatives within the model risk organization

Requirements:

6-10 years experience
Proficient in Microsoft Office with an emphasis on MS Excel
Consistently demonstrates clear and concise written and verbal communication skills
Self-motivated and detail oriented
Demonstrated project management and organizational skills and capability to handle multiple projects at one time
Practical experience using SAS or similar statistical coding software to build and test prediction models
comfortable interfacing with business clients
proficiency handling very large data sets
Experience in a quantitative role in risk management at a financial institution with experience in either model development or validation
Good knowledge and understanding of a variety of model development and validation testing techniques covering risk models

Nice to have:

Credible Challenge
Laws and Regulations
Management Reporting
Referral and Escalation
Risk Remediation

Additional Information:

Job Posted:
June 19, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Vice President, Financial Modelling