3 дня назад
Credit Strategy Director, Home Improvement (AI/Credit Risk)
175 000 - 205 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Credit Strategy Director, Home Improvement (AI/Credit Risk): Leading credit risk management and pricing strategy for an unsecured home improvement point-of-sale lending segment with an accent on underwriting policy, portfolio analytics, and risk-adjusted returns. Focus on developing predictive models, applying responsible AI to credit decisions, implementing controlled strategy changes, and building monitoring and early-warning systems.
Location: Hybrid role based in San Francisco, Lehi, New York, or Boston, United States; in-office Tuesdays, Wednesdays, and Thursdays. Remote placement is not considered. Local hours required across PT, MT, CT, or ET time zones. Relocation is offered based on job level.
Salary: $175,000–$205,000 base annually, plus potential equity and annual bonus.
Company
provides focused financial products and mobile-first banking experiences designed to help consumers make financial progress.
What you will do
- Own credit risk management and pricing strategy for the Home Improvement unsecured point-of-sale lending segment.
- Develop credit policies, underwriting criteria, exposure limits, segmentation, pricing models, loss forecasts, and portfolio valuations.
- Lead predictive modeling, grading systems, experimentation, and risk-adjusted return optimization.
- Use AI-driven tools to analyze credit performance and identify optimization opportunities with responsible, explainable controls.
- Implement strategy changes through rigorous testing, preventive and detective controls, and documented operating procedures.
- Partner with Product, Business, Engineering, and Data Science teams while reporting risk performance to Credit Committee, the Board, and regulators.
Requirements
- 10+ years of experience in financial services, credit risk management, pricing, portfolio analytics, or lending strategy.
- Deep expertise in unsecured lending, preferably point-of-sale lending or credit cards.
- Experience with credit policy, underwriting strategy, pricing optimization, risk segmentation, loss forecasting, and portfolio analytics.
- Proficiency in SQL, Python, and Tableau, with familiarity with advanced analytics and credit or machine learning models.
- Understanding of AI and ML limitations, regulatory implications, data integrity, model governance, and responsible use in credit decisions.
- Strong communication, collaboration, judgment, and ability to translate analytical strategy into requirements, testing plans, controls, and production implementation.
Nice to have
- Advanced degree in Statistics, Finance, Economics, or a related quantitative field.
- Experience mentoring or developing analytical talent in credit or risk functions.
Culture & Benefits
- Hybrid work model with in-person collaboration across eligible offices.
- Medical, dental, and vision coverage for employees and their families.
- 401(k) matching, health and wellness programs, and flexible time off for salaried employees.
- Up to 16 weeks of paid parental leave.
- Potential long-term equity awards and annual performance-based bonus.
- Travel to offices or other locations as needed.
Hiring process
- Interviews may be recorded, transcribed, and summarized using AI tools for selected roles and locations.
- Candidates may opt out of recording, transcription, and summarization before scheduled interviews.
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