Credit Strategy Director, Home Improvement

Happen Bank

San Francisco (CA)

Hybrid

USD 175,000 - 205,000

Full time

14 days+

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Job summary

Happen Bank is seeking a senior leader to own credit strategy and pricing for the Home Improvement lending segment, a key unsecured POS business within Consumer Banking. You will shape underwriting, pricing, and risk management, balancing growth with disciplined, risk-adjusted returns across policy, analytics, and cross-functional partnerships.

You will lead development of predictive models, employ AI-driven analysis, and collaborate with Product, Engineering, and Data Science to drive

Qualifications

  • 10+ years in financial services, credit risk, pricing, or lending strategy.
  • Deep unsecured lending experience, preferably POS or credit cards.
  • Proven track record in policy development, underwriting strategy, pricing optimization, risk segmentation, loss forecasting, and portfolio analytics.
  • Proficient in SQL, Python, and Tableau; able to translate strategy into requirements.

Responsibilities

  • Own credit risk management and pricing strategy for Home Improvement lending.
  • Develop and refine credit policies, underwriting criteria, exposure limits, segmentation, and pricing models.
  • Partner with cross-functional teams to shape annual operating and strategic plans.
  • Drive loan issuance that delivers durable risk-adjusted returns for investors and held-for-investment assets.
  • Lead development of predictive models, grading systems, and experimentation to compete along a risk-return frontier.
  • Use AI-driven tools to sharpen credit performance analysis while ensuring responsible use.
  • Implement credit strategy changes with rigorous testing and controls.
  • Maintain credit policy documentation and SOPs in line with standards.
  • Partner with Product, Business, Engineering, and Data Science for innovation and new product development.
  • Build monitoring systems and early warning mechanisms to manage risk.
  • Direct accurate credit risk reporting for Credit Committee, Board, and regulatory needs.
  • Coach and mentor junior team members.

Skills

SQL
Python
Tableau
Credit risk management
Pricing optimization

Education

Bachelor's degree or higher

Job description

Happen Bank (formerly LendingClub) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.

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. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. 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, and remote placement will not be considered. Happen Bank offers relocation, based on actual job level.

Time Zone Requirements

Local hours (PT, MT, CT, ET)

While the position will primarily work local hours, Happen Bank is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.

Travel Requirements

As needed travel to Happen Bank offices and/or other locations, as needed.

Compensation

The target base salary range for this position is 175,000-205,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of Happen Bank\'s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).

We’re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.

Happen Bank is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@happen.com.

Notice on AI Tool Use

For select roles and locations, candidate interviews may be recorded, transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process.

You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out.

During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment.

We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, please refer to our Privacy Disclosure.

We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.

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