Citizens · 9 hours ago
Sr Data Scientist - Model Development
Citizens is a leading financial institution dedicated to providing innovative solutions to manage financial risks and optimize asset and liability portfolios. The Senior Data Scientist within the Central Model Development team will lead the design, development, and deployment of advanced analytics and machine learning solutions for asset-liability management and forecasting.
BankingCredit CardsFinancial ServicesFinTechRetail
Responsibilities
Develop and maintain models used by Treasury group in balance sheet forecasting
By teaming with other Data Scientists and under the leadership of the Data Science Manager, develop customer behavior model for attrition, origination, and prepayment for deposit or loan products, and predictive model for market rates and other ALM/CCAR associated macroeconomic variables
Develop model documentation; interact effectively with Model Risk Management & Validation, Market Risk Management, and other challenge groups to facilitate periodic model validations and reviews
Monitor model performance and communicate results to internal stakeholders; propose model changes as necessary such as overlays and recalibration/redevelopment, supporting with sensitivity testing, back testing, and fundamental driver analyses
Demonstrate understanding of related models that affect ALM models and behavior, including interest rate and term structure models
Propose improved approaches to loan and deposit modeling, challenging all existing assumptions and status quo of current practices
Assist in developing forward-looking macroeconomic and interest rate views while collaborating with CFG's Treasury for balance sheet management
Provide analytical support to management in developing strategies associated with balance sheet and liquidity decisions
Support initiatives such as Balance Sheet Optimization, Funds Transfer Pricing, Mortgage Servicing Rights and CCAR/DFAST when needed
Prepare detailed yet actionable materials for ALCO and Senior Management
Qualification
Required
Hands-on experience applying statistical analysis and machine learning techniques in the financial industry or consulting firm to support ALM, Stress Testing, Pricing or Credit Risk Management
Exposure to Treasury/ALM and CCAR/PPNR modeling, deposit behavior, interest-rate/macroeconomic modeling, and stress testing workflows preferred
Proven experience developing ML models end-to-end using Python (pandas, scikit-learn, PySpark), SQL, and version control
Experience with cloud & data platforms (AWS SageMaker, H2O, Snowflake) and MLOps practices
Strong statistical foundation and knowledge. Experience working with business partners across Line of Business, Validation, Audit, and Regulatory Relations, and producing regulatory-compliant documentation
Experience with standard prepayment (BlackRock, Black Knight, QRM) or deposit (QRM, Novantas) models desirable
Familiarity with common financial and economic data (FRED, Bloomberg, Economy.com, etc)
Excellent presentation and communication skills; ability to convey actionable and understandable business intelligence
Graduate degree (M.S. or Ph.D.) in mathematical finance, economics, mathematics, statistics or similar STEM field is desired
Preferred
Exposure to Treasury/ALM and CCAR/PPNR modeling, deposit behavior, interest-rate/macroeconomic modeling, and stress testing workflows preferred
Experience with standard prepayment (BlackRock, Black Knight, QRM) or deposit (QRM, Novantas) models desirable
Progress toward CFA charter desirable
Benefits
Comprehensive medical, dental and vision coverage
Retirement benefits
Maternity/paternity leave
Flexible work arrangements
Education reimbursement
Wellness programs
Paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States
Company
Citizens
At Citizens, we recognize that the journey to accomplishment is no longer linear and that individuals are made of all they have done and all they are going to do.
Funding
Current Stage
Public CompanyTotal Funding
$2B2025-02-26Post Ipo Debt· $750M
2024-07-09Post Ipo Debt· $1.25B
2014-09-23IPO
Leadership Team
Recent News
2026-02-02
2026-01-22
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