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SVP - Business Balance Sheet Management & Strategic Analytics - Hybrid

Job in Schaumburg, Cook County, Illinois, 60159, USA
Listing for: Citi
Full Time position
Listed on 2026-10-05
Job specializations:
  • Finance & Banking
    Risk Manager/Analyst
  • Management
    Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 144480 - 216720 USD Yearly USD 144480.00 216720.00 YEAR
Job Description & How to Apply Below
Role Summary

We are seeking a strategic, quantitative leader to join the US Consumer Cards In-Business Credit & Franchise Risk Organization. As the Senior Vice President of In-Business Balance Sheet Management & Strategic Business Analytics, your mission will be to build and lead the analytical engine that drives profitable, resilient growth for a multi-billion-dollar credit card portfolio. You will be responsible for steering USCC business strategies in response to evolving capital and funding dynamics.

This is a high-impact role where you will lead a team of quantitative analysts to model the P&L and capital impacts of major strategic decisions, partnering directly with executive leadership to shape the future of the business and optimize for both profitability and regulatory compliance.

Key Responsibilities
  • Executive Leadership & Team Development
    • Lead, mentor, and develop a high-performing team of quantitative analysts, fostering a culture of analytical rigor, intellectual curiosity, and innovation.
    • Serve as the team's expert guide on complex quantitative models, advanced statistical analysis, and data-driven decision–making.
    • Own performance management, talent development, and succession planning for the team.
  • Pricing Risk Analytics
    • Lead analytical support for pricing initiatives, including APR actions, fee strategies, and portfolio pricing optimization.
    • Quantify the risk, credit loss, customer behavior, and profitability impacts of pricing decisions.
    • Develop analytical frameworks to evaluate risk–adjusted returns and long–term portfolio performance.
  • Test & Control Design Analytics
    • Lead test–and–control design, performance measurement, and incremental impact analysis for major Cards initiatives.
    • Develop methodologies to measure revenue, balances, losses, customer engagement, and portfolio outcomes.
    • Provide analytical recommendations to optimize business strategies and customer treatments.
  • Balance Sheet & Financial Analytics
    • Support business balance sheet management, portfolio profitability, and capital efficiency analysis.
    • Evaluate the P&L, balance sheet, reserve, and capital impacts of strategic business actions.
    • Partner with Finance and Risk teams on planning, forecasting, and regulatory–related portfolio assessments.
  • Stakeholder Management
    • Partner across Business, Pricing, Risk, Finance, Product, and Franchise organizations.
    • Translate complex analytical findings into clear, executive–ready recommendations.
    • Present strategic insights and business implications to senior leadership and governance forums.
Qualifications
  • 10+ years of progressive experience in financial services or management consulting, with a strong focus on credit risk, capital management, and financial planning.
  • Expert knowledge of consumer banking products (especially Credit Cards), including P&L drivers, risk/return dynamics, and key performance indicators.
  • Deep, practical knowledge of capital and balance sheet management frameworks, including CCAR, CECL, Basel III Endgame, and Recovery & Resolution Planning.
  • Proven experience developing and implementing forecasting models for balance sheet and P&L components.
  • Demonstrated ability to lead quantitative teams and derive actionable insights from complex risk/reward trade–off analysis.
  • Strong project management skills with a proven track record of delivering complex analytical solutions on tight deadlines.
Technical Proficiency
  • High proficiency in Excel and data visualization tools (Tableau, Power BI).
  • Hands–on experience with, or demonstrated experience leading teams that heavily utilize, statistical programming languages (e.g., SAS, Python, R).
  • Experience leveraging large–scale data platforms (e.g., cloud data warehouses, Hadoop/Spark environments) is highly desirable.
Leadership Competencies
  • A…
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