Develop credit portfolio strategies across the default lifecycle, including collections, loss mitigation and…
Use SAS in a UNIX environment for risk, financial and data analyses, including forecasting
Prepare risk presentations for senior management on expected portfolio performance and risks
Identify emerging portfolio risks and gaps that could increase losses
Lead analytics workstreams with stakeholder teams
From the employer’s posting
Assist in developing credit portfolio management strategies across default life cycle (collections, loss-mitigation, foreclosure & REO)
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
Proactively identify emerging risks within the portfolio and gaps that might compromise Credit Policy strategies and increase losses.
Lead analytics workstreams partnering with stakeholder teams
Ability to see the "big picture" without losing attention to detail.
Qualification wording
* Ability to think strategically and articulate concepts clearly. Ability to see the "big picture" without losing attention to detail.
Education & alternatives
Education:
* Bachelor’s degree in economics, Finance, Statistics, Applied Mathematics or related fields.
* Master's degree preferred
* Bachelor’s degree in economics, Finance, Statistics, Applied Mathematics or related fields.
* Master's degree preferred
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Tools in this posting
Python
SAS
Tableau
Source — Tool mentions in context
* 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
* 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
Open 5 monthsWe first saw this listing 150 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
May 28, 2026 · 150 days ago
Recorded sightings
34
Last seen by us
Oct 25, 2026
May 28, 2026today
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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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.
RESPONSIBILITIES
* 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.
QUALIFICATIONS:
* 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
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.
* Ability to think strategically and articulate 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
Education:
* Bachelor’s degree in economics, Finance, Statistics, Applied Mathematics or related fields.
* Master's degree preferred
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## Job Family Group:
Risk Management
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## Job Family:
Portfolio Credit Risk Management
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## Time Type:
Full time
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## Most Relevant Skills
Analytical Thinking, Credible Challenge, Governance, Policy, Procedure, and Regulation, Portfolio Analysis, Risk Management Lifecycle.
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## Other Relevant Skills
Constructive Debate, Escalation Management, Industry Knowledge, Policy and Procedure, Policy and Regulation, Process Execution, Product Knowledge, Risk Controls and Monitors, Risk Identification and Assessment.
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