Staff Machine Learning Model Risk Specialist

Accountabilities:

• • Independently execute core elements of the model risk management program, supporting a diverse and growing inventory of models and Generative AI applications across banking, lending, fraud, compliance, finance, capital, liquidity, servicing, and operational risk.
  • Partner with Machine Learning teams, AI developers, business sponsors, and risk stakeholders to maintain accurate model inventories, risk assessments, documentation, monitoring reports, and governance materials.
  • Review model methodologies, assumptions, data inputs, system designs, performance measures, controls, limitations, and other relevant factors to provide effective challenge and identify potential risks or remediation needs.
  • Apply a risk-based methodology when assessing technologies ranging from traditional statistical and financial models to advanced machine learning systems and Generative AI applications.
  • Conduct and document model risk assessments, monitoring reviews, and targeted quantitative analyses in support of internal policies and regulatory expectations.
  • Help develop practical governance frameworks for emerging technologies, particularly machine learning and Generative AI where risk-management practices and evaluation standards continue to evolve.
  • Translate complex technical and quantitative concepts into clear, decision-useful insights for technical and non-technical stakeholders, including senior leaders and external parties.
  • Support responses to questions from regulators, lending partners, and other external stakeholders in collaboration with relevant business, risk, legal, compliance, and technical teams.
  • Track model risk findings, remediation plans, program objectives, and emerging risks while escalating material issues and recommending practical improvements.

  Requirements:

  • Master’s degree in finance, mathematics, economics, statistics, or another quantitative discipline; a PhD or advanced degree is preferred.
  • 4+ years of experience in model risk management, model validation, model governance, machine learning, data science, quantitative risk, AI governance, or a closely related technical risk function.
  • Strong understanding of AI/ML methodologies, including approaches such as tree-based models and neural networks, along with general familiarity with Generative AI applications.
  • Experience assessing or governing models, preferably in regulated financial services, consumer lending, credit risk, or another high-stakes environment.
  • Familiarity with Generative AI evaluation concepts, including prompt and system design, retrieval-augmented generation, tool use, guardrails, and ongoing monitoring.
  • Proficiency in R, Python, or comparable programming languages; advanced experience with Python, R, SQL, and Git is a strong advantage.
  • Understanding of model monitoring, fairness, explainability, and broader AI/ML risk considerations.
  • Ability to evaluate models beyond credit underwriting, including applications supporting fraud, compliance, finance, capital and liquidity, servicing, operational risk, or financial reporting.
  • Strong communication skills, with the ability to translate highly technical information into clear recommendations for audiences with different levels of expertise while appropriately managing sensitive or proprietary information.
  • Proactive, analytical, and independent approach, with the ability to take ownership, navigate ambiguity, and collaborate effectively across technical and business teams.
  • Interest in consumer lending, credit risk, model fairness, explainability, and the responsible use of machine learning and Generative AI in regulated environments.

  Benefits:

  • Competitive compensation: U.S. remote base salary range of $157,000–$217,500 USD, with actual compensation determined by location, skills, experience, education, and training.
  • Additional compensation: Target bonus opportunities and annual equity grants that vest quarterly.
  • Retirement benefits: 401(k) or applicable retirement savings plan with a company match of $2 for every $1 contributed, up to $15,000 annually.
  • Employee Stock Purchase Plan: Discounted stock purchase opportunities for eligible U.S. employees.
  • Healthcare: Comprehensive medical, dental, and vision coverage, plus wellness resources and Health Savings Account contributions for eligible U.S. plans.
  • Financial protection: Life insurance and disability coverage.
  • Time off: Paid time off, sick leave, and company holidays in accordance with local requirements.
  • Family support: Paid family and parental leave, alongside benefits supporting fertility, parenthood, and caregiving.
  • Wellbeing: Employee Assistance Program, mental health resources, and an annual wellness allowance.
  • Financial wellness: Access to financial planning resources and a financial concierge service for eligible U.S. employees.
  • Productivity support: Annual productivity allowance to help employees invest in tools and resources that support effective remote work.
  • Remote-first flexibility: Work remotely across the U.S., with most teams meeting in person approximately once or twice per quarter for multi-day collaboration sessions.
  • Community and connection: Team events, company-wide gatherings, and employee resource groups, with additional onsite perks available at company offices.
  • Inclusive workplace: Commitment to equal opportunity, accessibility, diversity, and fair hiring practices.