Credit Risk Strategy & Analytics - Vice President

Citi; New York (NY); Hybrid; USD 150,000 - 200,000; Full time

Job summary

Citi is seeking a skilled Vice President for its Credit Risk Strategy & Analytics team in New York, NY. This role focuses on developing and managing credit risk policies for consumer and commercial lending portfolios. Candidates should have over 10 years of experience in credit risk management, including quantitative analysis and statistical modeling.

It's crucial to possess strong programming skills and to demonstrate a strategic understanding of lending products. The role operates in a fast-paced environment with a hybrid work model, and is integral in leveraging data analytics to support responsible growth and risk management.

Qualifications

• 10+ years of experience in credit risk management.
• Experience in implementing and managing credit scoring models.
• Demonstrated analytical programming skills (SAS/SQL and Python).

Responsibilities

• Develop and manage credit risk policies and strategies.
• Oversee credit analytics and optimize risk-return dynamics.
• Prepare risk management presentations for senior management.

Skills

Credit risk modeling

Statistical Analysis System (SAS)

SQL programming

Python programming

Data analysis

Education

Degree in Economics, Finance, or Statistics

Tools

SAS

SQL

Python

Job description

Credit Risk Strategy & Analytics - Vice President

Job Details

Job Req Id: 26945658

Location: Haryana, India

Job Type: Hybrid

Posted: Mar. 16, 2026

Job Overview

The Credit Risk Strategy & Analytics role will support the development, implementation, and management of credit risk and/or collection strategies and policies for consumer and/or commercial lending portfolios. This includes directing credit analytics team in assessing various internal and external data sources for inclusion into policies and lending platform to optimize commercial risk assessment and straight through application processing in a digital environment. This role requires a deep level of understanding of statistics, data, modeling, and analytical tools to creatively support the responsible growth and risk management of assigned portfolios.

Responsibilities

• Assist in developing origination, portfolio, and collection strategies internally and with strategic partners by leveraging data analytics inclusive of score-based models, on-us/off-us data, and business rules
• Support Portfolio Risk Manager to optimize risk-return dynamics by overseeing credit risk and/or collection strategies and developing recommendations for policy optimization throughout the loan lifecycle
• Develop framework for portfolio risk assessment including evaluation of credit, financial and collections performance across varied lending products and industry segments
• Understand applicable credit policies, industry regulations and the requisite impact of those governance items to new initiatives
• Utilize Statistical Analysis System (SAS) in a UNIX environment to perform risk, financial and data analyses including profiling, sampling, forecasting and new program due diligence
• Prepare risk management presentations for senior management that include analytics on expected portfolio performance and areas of potential risk and/or opportunity
• Stay abreast of emerging industry trends in data analytics and perform proactive analytics to assess and support portfolio and origination strategies
• Proactively identify emerging risks within the portfolio and gaps that might compromise Credit Policy strategies and increase losses.
• Liaise with key stakeholders to advance and support initiatives.
• Direct analytics team effectively to impart knowledge and rationale for tasks and ensure ownership for assigned responsibilities, lead to successful completion of goals, as an incubator for innovation
• Knowledge of Citibank credit policies and practices and regulatory policies, to assist unit in achieving compliance with the above and satisfactory ratings from internal and external auditors.

Qualifications

• 10+ years of experience in credit risk management in the financial services industry performing quantitative analysis, statistical modeling, implementation, and management of credit scoring models
• Degree in Economics, Finance, Statistics or Applied Mathematics.
• Active role in performing some analytical components of model development (data collection, data integrity check, segmentation analysis, variable transformation, variable selection, model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, & model production implementation)
• Statistical/econometric programming skills strongly preferred (SAS/SQL, PYTHON, STATA, etc.)
• Prior experience working in a regulatory and compliance policy environment

Skills / Abilities

• Demonstrated ability to proactively synthesize, prioritize and drive results with a high sense of urgency
• Strong communications/presentation skills, capable of interacting effectively both technical and non-technical audiences.
• Ability to obtain support and buy-in across a wide range of stakeholders; create a strong network of relationships among peers, internal partners, external constituencies, and decision makers.
• Thinks strategically and articulates concepts clearly. Ability to see the "big picture" without losing attention to detail.
• Must be highly organized and able to work in a fast-paced environment managing multiple projects and possess strong interpersonal, organizational and analytic skills

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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