Sr Data Scientist Treasury Modeling

Job Title

CFG is a leading financial institution dedicated to providing innovative solutions to manage financial risks and optimize asset and liability portfolios. The Central Model Development team within the Asset Liability Management group is responsible for developing and maintaining models that support strategic decision-making.

This role develops, implements, and maintains ALM and CCAR/PPNR models. The position also provides guidance to functional leaders on model impacts and partners with Model Risk Management, Market Risk, and Internal Audit to support model governance and regulatory requirements.

Key Responsibilities:

• Develop and maintain models supporting balance sheet forecasting for the Asset Liability Management group
• Build customer behavior models for attrition, origination, and prepayment across deposit and loan products
• Develop predictive models for market rates and macroeconomic variables related to ALM and CCAR
• Partner with data science teams under leadership guidance to deliver model solutions
• Create and maintain model documentation to support validation and governance processes
• Collaborate with Model Risk Management, Model Validation, and Market Risk for periodic model reviews
• Monitor model performance and recommend enhancements including overlays, recalibration, or redevelopment
• Perform sensitivity testing, back testing, and fundamental driver analysis
• Demonstrate understanding of related models including interest rate and term structure models
• Propose improvements to loan and deposit modeling and challenge existing assumptions
• Support development of forward-looking macroeconomic and interest rate views in partnership with Treasury
• Provide analytical support for balance sheet and liquidity strategy decisions
• Support initiatives including Balance Sheet Optimization, Funds Transfer Pricing, Mortgage Servicing Rights, CCAR, and DFAST
• Prepare materials for Asset Liability Committee and senior management

Required Qualifications:

• Experience applying statistical analysis in Treasury modeling, risk management, forecasting, or pricing within a bank or consulting firm
• Proficiency in Python, R, or similar analytical programming languages
• Strong analytical and quantitative modeling skills
• Experience developing and maintaining financial or risk models
• Strong communication skills with the ability to translate complex analysis into business insights

Preferred Qualifications:

• Experience with prepayment models such as Black Rock, Black Knight, QRM, or ADCO
• Experience with deposit models such as QRM or Novantas
• Exposure to balance sheet management systems such as QRM, Banc Ware, or Empyrean
• Familiarity with financial and economic data sources such as FRED, Bloomberg, or
• Progress toward Chartered Financial Analyst designation

Education:

• Master's degree or PhD in Finance, Economics, Mathematics, Statistics, or related STEM field preferred

Pay Transparency

The salary range for this position is $124,000 - $165,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit

• Business Data Analysis
• Business Savvy
• Customer Journey Orchestration
• Diversity and Inclusion (D&I) Strategy and Policy
• Machine Learning
• Programming and Scripting Languages
• Statistics
• Technical Writing

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information,…