Executive Vice President, Head of Risk As EVP, Head of Risk, you will be the architect of the enterprise risk strategy—owning credit risk, model governance, compliance oversight, and the integration of data science with business strategy. You’ll lead a dynamic team of credit analysts and quantitative specialists while partnering closely with executive leadership to shape everything from pricing models to securitization strategies.
Your mission: safeguard the business, unlock opportunity, and future-proof the company’s risk posture as it scales.
This is an on-site position.
Key Responsibilities Risk Strategy & Execution
  • Lead credit risk, decision science, and compliance strategy across the full consumer loan lifecycle.
  • Drive portfolio performance and pricing optimization through advanced analytics, robust modeling, and data-backed insights.
  • Partner with finance and capital markets on structured finance, securitizations, and warehouse lending.
Team Leadership
  • Oversee and expand a team of 8–15 professionals across Credit Risk and Quantitative Risk.
  • Foster a high-performance culture grounded in accountability, innovation, and collaboration.
  • Serve as a key member of the executive leadership team, reporting directly to senior management.
Technology & Innovation
  • Implement AI and machine learning models to enhance underwriting, fraud detection, and servicing.
  • Champion automation, dashboarding, and predictive analytics to modernize the risk function.
  • Govern model development and validation with rigor aligned to regulatory and investor expectations.
Governance & Stakeholder Engagement
  • Design and enforce the organization’s Three Lines of Defense framework.
  • Lead internal risk committees and represent the risk function to external stakeholders (investors, auditors, regulators).
  • Translate complex analytics into actionable executive-level insights and recommendations.
Qualifications
  • 10+ years in credit risk, structured finance, or quantitative analytics, ideally within consumer lending or auto finance.
  • Proven experience in subprime or near-prime markets, credit modeling, and risk-based pricing.
  • Executive-level communication skills with the ability to bridge technical and strategic discussions.
  • Strong technical background with familiarity in machine learning, predictive modeling, and risk technology platforms.
  • Preferred credentials: FRM, CFA, CPA, or advanced degree in Finance, Economics, Statistics, or Data Science.