Director of Analytics

Upstart · Fintech · Remote · Data Analytics

Upstart is seeking a Director of Analytics to lead their Credit Analytics team. This role involves owning the vision and roadmap for credit forecasting, valuation, and risk capital, building and scaling a team, and partnering with ML, Finance, and Capital teams to define and build the next generation of credit and capital infrastructure. The goal is to unify the company's credit risk narrative and ensure robust, explainable forecasts and valuations.

What you'd actually do

  1. Own and evolve the Credit Analytics vision and roadmap across credit forecasting & valuation and risk capital, building a high-performing team of managers and analysts and setting a strong bar for analytical rigor, execution, and collaboration.
  2. Lead the implementation, enhancement, and disciplined use of foundational credit forecasting and valuation frameworks that underpin financial planning, portfolio performance monitoring, and investor narratives—ensuring our forecasts and asset valuations are robust, explainable, and subject to bank-grade governance.
  3. Own the operations, measurement, and reporting for risk capital, which represents the majority of Upstart’s funding base—developing capital analytics, stress scenarios, and risk appetite frameworks that support seamless execution of risk capital deals and disciplined portfolio management.
  4. Partner with product, engineering, and capital stakeholders to define and build the next generation of credit and capital infrastructure and tooling, including data models, pipelines, and dashboards that enable scalable, self-serve insights for analysts and leaders across the company.
  5. Unify Upstart’s internal and external credit risk narrative in close collaboration with ML and investor- and capital-focused analytics peers, translating complex performance drivers into clear, executive-ready insights and recommendations that guide funding strategy, deal structures, and long-term risk-reward tradeoffs.

Skills

Required

  • 10+ years of professional experience in analytics, risk, or quantitative finance roles in technology, fintech, or financial services, including 5+ years leading and developing analytics and/or risk management teams.
  • Experience building and deploying credit risk / loss forecasting and portfolio valuation frameworks for consumer credit or comparable lending businesses.
  • Hands-on experience with structured finance and/or risk capital (for example, securitizations, warehouse facilities, forward-flow or other institutional funding structures), including comfort working with cash flow, return, and risk metrics.
  • Advanced proficiency in SQL and at least one analytical programming language (such as Python or R), with demonstrated experience working with large datasets and modern data platforms and BI tools.
  • Degree in Quantitative Finance/Economics, Statistics, Engineering, Data Science, or another quantitative field (or equivalent practical experience)

Nice to have

  • Track record of integrating credit, finance, and capital perspectives into unified analytical frameworks and narratives that influence senior executives and cross-functional leaders.
  • Experience building or modernizing credit forecasting, valuation, and/or capital analytics infrastructure (e.g., data models, pipelines, dashboards, automated reporting) in partnership with engineering and ML teams.
  • Proven ability to mentor and coach both managers and senior ICs on technical depth, business judgment, and stakeholder influence.
  • Experience working with internal and external audits, controls, and governance (for example, SOX, or valuation reviews) related to credit models, asset valuations, or risk capital structures.
  • Comfort

What the JD emphasized

  • bank-grade governance
  • internal and external audits, controls, and governance (for example, SOX, or valuation reviews) related to credit models, asset valuations, or risk capital structures