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Mortgage Servicing-Credit Risk Strategy & Analytics - Assistant Vice President

India, Haryana · Job Posted May 29, 2026
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Job Description

The Mortgage Servicing Credit Risk Strategy & Analytics role will support the development, implementation, and management of default risk, credit losses, collection/loss-mitigation and OREO strategies and policies for consumer mortgage lending portfolios. This includes leading credit analytics in assessing various internal and external data sources for inclusion into policies and default risk strategies to optimize risk-reward tradeoffs for credit portfolios. 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.

Job Responsibility

  • Assist in developing credit portfolio management strategies across default life cycle (collections, loss-mitigation, foreclosure & REO) 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/default risk and/or collection strategies and developing recommendations for policy optimization throughout the default lifecycle
  • Develop framework for portfolio risk assessment including evaluation of credit, financial and collections performance across varied segments of mortgage residential portfolios
  • 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
  • Lead analytics workstreams partnering with stakeholder teams 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

Requirements

  • 7 to 10 years of experience in credit risk management in the financial services industry performing quantitative analysis, risk analytics, implementation of analytically driven risk management approaches, models or tools
  • Experience within Mortgage Servicing or one or more areas in credit portfolio management (collections, loss-mitigation, foreclosure/REO, net credit loss, FFIEC/accounting impairment)
  • Active role in performing some analytical components of model or quantitative method/tool development (data collection, segmentation analysis, sensitivity testing, business rules/ model documentation, & production implementation)
  • Statistical/econometric programming skills strongly preferred (SAS, Tableau, PYTHON, etc.)
  • Prior experience working in a regulatory and compliance policy environment
  • 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
  • Ability to think strategically and articulate concepts clearly
  • Must be highly organized and able to work in a fast-paced environment managing multiple projects and possess strong interpersonal, organizational and analytic skills
  • Bachelor's degree in economics, Finance, Statistics, Applied Mathematics or related fields
  • Master's degree preferred

Nice to have

  • Master's degree preferred
  • Statistical/econometric programming skills strongly preferred (SAS, Tableau, PYTHON, etc.)
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