Cardless-posted 3 months ago
$160,000 - $200,000/Yr
Full-time • Senior
San Francisco, CA

The Credit Risk Lead at Cardless will oversee credit risk management across all our partner brands. This includes leading initiatives around originations (such as credit policy, initial line assignment, and risk-based pricing), account management (e.g., CLI, CLD, Authorization), collections strategies, reporting, loss forecasting, and advanced analytics. In this role, you will develop and implement tools to scale risk management processes as we grow our partnerships. A strong sense of responsibility is key: you will foster open communication, address concerns proactively, and ensure adherence to policies and procedures. Additionally, you'll align with Cardless' risk appetite while balancing customer experience and operational objectives. As the company scales, you'll be accountable for identifying, managing, and reporting risks across all areas of the business.

  • Lead the development and execution of credit risk strategies for both new and existing brand partners.
  • Conduct advanced analytics, including customer segmentation, optimization, predictive analytics, and machine learning, to manage risk and detect fraud.
  • Expand the data used in credit decisioning by leveraging proprietary risk models and evaluating third-party data sources.
  • Build and maintain automated dashboards to track key performance indicators (KPIs) around originations and portfolio performance, presenting insights to senior management.
  • Design and execute A/B tests to evaluate new strategies, balancing product performance with customer and partner satisfaction.
  • Collaborate with the Compliance team to ensure all credit risk strategies align with fair lending regulations and principles.
  • Develop and maintain loss forecasting models to predict charge-offs and recovery rates across different delinquency stages.
  • Develop and maintain comprehensive Credit Policy manuals and underwriting procedures.
  • Partner closely with Engineering, Product, and Operations teams to assess operational feasibility and launch MVPs, iterating quickly based on performance.
  • Bachelor's or Master’s degree in a STEM field or Economics, with a focus on data-driven problem solving (preferred).
  • 7+ years of experience in credit risk within the consumer credit industry.
  • 4+ years of hands-on experience using R, Python, SAS, and SQL to analyze large, complex datasets.
  • 2+ years of experience in quantitative analysis within a fintech startup.
  • Strong knowledge of the consumer credit landscape and familiarity with fair lending regulations such as ECOA, FCRA, and TILA.
  • Proficiency with BI/data visualization tools (e.g., PowerBI, Tableau) to create clear, actionable dashboards.
  • Experience designing and implementing A/B testing to assess new strategies.
  • Familiarity with data pipelining, data modeling, and ETL processes.
  • Ability to thrive in a fast-paced, high-volume environment while managing multiple tasks simultaneously.
  • Strong communication and presentation skills, with the ability to convey complex analyses clearly.
  • Experience working with banking partners and third-party data vendors is a plus.
  • Meaningful Start-up equity
  • 100% health, vision & dental primary coverage
  • 75% health, vision & dental dependent coverage
  • Catered lunches
  • $250/month Commuter benefit
  • Parental leave
  • Team building events & happy hours
  • Flexible PTO with a minimum of 15 days off per year
  • Apple equipment
  • 401k plan
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