Financial Model Risk Management Lead

Overview

The Enterprise Risk & Internal Audit department helps protect the organization’s operations and long-term success by identifying, assessing, and monitoring risk across the business. Work includes internal audits, regulatory assurance, fraud prevention, and crisis planning, along with maintaining strong controls, tracking key risk indicators, and ensuring readiness for external reviews.

This role joins Model Risk Management (MRM) as a Lead validator for Finance and Analytics models. MRM acts as a second line of defense by establishing and overseeing an effective model risk management framework to identify, quantify, monitor, mitigate, and report on model risk.

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, and related decision-support analytics, through rigorous validation and ongoing monitoring
• Lead end-to-end validation engagements for high-complexity, high-criticality models
• Identify model weaknesses, limitations, and opportunities for improvement; clearly articulate findings to 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 support 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
• Experience in credit underwriting or credit risk management is a plus
• 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 and intellectually curious about data, models, and business context, with strong critical thinking and structured problem-solving
• Extraordinary interpersonal and verbal/written communication skills; 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

Compensation & Benefits

• Pay grade: M
• Equity grade: 8
• Base pay range (USA, CA, WA, NY, NJ, CT): $185,000 - $245,000 per year
• Base pay range (USA, all other U.S. states): $164,000 - $224,000 per year
• 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 employees and their dependents.
• Additional benefits highlights:
  • Health coverage at no cost (100% of premiums for employees and their dependents)
  • Monthly spending stipends for tech setup and choosing health and 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 may be 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: the organization considers qualified applicants with arrest and conviction records, as required by law.