Financial Model Risk Management Lead

Overview

This role involves joining the Model Risk Management (MRM) team within Enterprise Risk & Internal Audit as a Lead validator for Finance and Analytics models. MRM serves as a second line of defense by establishing and overseeing a model risk management framework to identify, quantify, monitor, mitigate, and report model risk across the organization.

Enterprise Risk & Internal Audit protects operations and long-term success through activities including internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains controls, tracks key risk indicators, and supports readiness for external reviews.

Responsibilities

• Perform independent challenges of financial and analytics quantitative models, including:
  • ALM, allowance/loss forecasting, loan transition models (LTM)
  • Corporate financial planning models
  • Take-up and engagement models
  • Related decision-support analytics
  • Validate models through rigorous validation and ongoing monitoring
• Lead end-to-end validation engagements on high-complexity, high-criticality models
• Identify model weaknesses, limitations, and opportunities for improvement; clearly communicate findings to both technical and non-technical stakeholders
• Collaborate with model owners and stakeholders across Finance, Quantitative Research, and Growth Analytics to remediate validation findings and strengthen model governance
• Partner cross-functionally to implement and maintain the MRM framework
• Partner with Internal Audit, Internal Controls, Accounting, and Compliance to ensure timely resolution of audit, regulatory, and examiner requests

Requirements

• 4–6 years of professional experience in related technical areas such as model development, model validation, quantitative finance, or data analytics, with meaningful exposure to financial and/or analytics model validation
• Deep and broad knowledge of corporate finance, treasury, ALM, and/or actuarial/statistical forecasting
• Proven ability to work with scripting languages (e.g., Python) and large-scale datasets (e.g., SQL)
• Comfort reviewing models built in Excel, Python, Databricks, or similar environments
• Experience with statistical modeling, time-series forecasting, simulation, and/or machine learning techniques as applied to finance and analytics use cases
• BS, MS, or PhD in a quantitative field such as Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, Computer Science, or Data Science
• Detail-oriented, intellectually curious about data, models, and business context; skilled in critical thinking and structured problem-solving
• Extraordinary interpersonal and verbal/written communication skills, including the ability to influence model owners, present to senior stakeholders, and navigate cross-functional remediation

Preferred Qualifications

• Experience in credit underwriting and/or credit risk management (plus)

Compensation & Benefits

• Pay grade: M
• Equity grade: 8
• Base pay (per year):
  • $185,000 – $245,000 for CA, WA, NY, NJ, CT
  • $164,000 – $224,000 for all other U.S. states
• Employees new to the organization typically come in at the start of the pay range.
• Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness, and tech spending, and benefits (including 100% subsidized medical coverage for you and your dependents).
• Benefits highlights:
  • Health coverage at no cost: 100% of premiums for employees and their dependents
  • Monthly spending stipends for tech setup and health/wellness options
  • Flexible time off and generous holiday calendars
  • Employee stock purchase plan (ESPP) to buy company stock at a discount

Location

• Remote-first with flexibility built in: most roles can be done from almost anywhere within the country of employment.
• Some positions may occasionally require in-person work at an office, and a few are office-based due to the nature of the work.
• All new hires will be invited to attend an in-person onboarding experience.
• For positions based in San Francisco or Los Angeles: qualified applicants with arrest and conviction records will be considered, as required by law.

Equal Opportunity

The interview process includes accommodations for candidates with disabilities.