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Credit Strategy Director, Home Improvement

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: LendingClub
Full Time position
Listed on 2026-09-12
Job specializations:
  • Finance & Banking
    Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 175000 - 205000 USD Yearly USD 175000.00 205000.00 YEAR
Job Description & How to Apply Below

About the Role

This role leads credit strategy and pricing for Happen Bank's Home Improvement lending segment, a key unsecured Point of Sale business within Consumer Banking. It's responsible for shaping how the bank underwrites, prices, and manages risk in this segment, balancing growth with disciplined, risk-adjusted returns. The work spans policy, analytics, and cross-functional partnership, with direct influence on how the business scales responsibly.

What

You'll Do
  • Own credit risk management and pricing strategy for the Home Improvement lending segment
  • Develop and refine credit policies, underwriting criteria, exposure limits, segmentation, and pricing models, including vintage loss forecasting and valuations
  • Partner with cross-functional teams to shape annual operating and strategic plans
  • Drive loan issuance that delivers durable risk-adjusted returns for marketplace investors and held-for-investment assets, in line with business plan and risk appetite
  • Lead development of predictive models, grading systems, and experimentation to compete along an optimal risk-return frontier
  • Use AI-driven tools and techniques to sharpen credit performance analysis, surface optimization opportunities, and streamline workflows, while setting a high bar for responsible, explainable use
  • Implement credit strategy changes with rigorous testing and strong preventive and detective controls
  • Maintain credit policy documentation and standard operating procedures in line with bank and regulatory standards
  • Partner with Product, Business, Engineering, and Data Science to drive innovation and new product development
  • Build monitoring systems and early warning mechanisms to manage credit and operational risk
  • Direct accurate, timely credit risk reporting for Credit Committee, Board, and regulatory needs
  • Coach and mentor junior team members, strengthening analytical rigor and execution across the team
About You
  • 10+ years of experience in financial services, credit risk management, pricing, portfolio analytics, or lending strategy; bachelor's degree or higher, or equivalent combination of education and experience
  • Deep domain expertise in unsecured lending, preferably point of sale lending or credit cards, with strong understanding of commercial value drivers
  • Proven track record in credit policy development, underwriting strategy, pricing optimization, risk segmentation, loss forecasting, and portfolio analytics
  • Skilled in translating credit and pricing strategy into business requirements, testing plans, controls, and production implementation
  • Proficient in SQL, Python, and Tableau, with strong familiarity with advanced analytics and credit/ML models for consumer credit products
  • You understand how AI and ML models interact with credit risk decision-making, including their limitations and regulatory implications, and know when a model should inform a decision versus drive it
  • You set a high bar for responsible AI use in high-stakes work, with attention to data integrity, model limitations, and compliance, and you're building new workflows rather than just using existing ones
  • Strong communicator and collaborator who can translate complex credit and analytical topics for a range of stakeholders
  • Detail-oriented with sound judgment, a strategic mindset, and a consistent focus on measurable business results
Nice to Have
  • Advanced degree in Statistics, Finance, Economics, or a related quantitative field
  • Experience mentoring or developing analytical talent in a credit or risk function
Work Location

San Francisco, Lehi, New York, Boston, Remote

The above locations are eligible offices for this role. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success,…

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