Financial Model Risk Management Lead

Overview

This role is part of the Enterprise Risk & Internal Audit organization, which identifies, assesses, and monitors risk across the business. Work includes internal audits, regulatory assurance, fraud prevention, and crisis planning, with an emphasis on controls, key risk indicator tracking, and readiness for external reviews.

Within Enterprise Risk & Internal Audit, the Model Risk Management (MRM) team serves as a second line of defense by establishing and overseeing a model risk management framework. This framework identifies, quantifies, monitors, mitigates, and reports on model risk throughout the organization.

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
  • Apply 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 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 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
  • 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 and intellectually curious about data, models, and business context; skilled at 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, credit risk management

Compensation & Benefits

• Pay grade: M
• Equity grade: 8
• New hires typically enter at the start of the pay range.
• Base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000
• Base pay range (all other U.S. states) per year: $164,000 - $224,000

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 include:

• 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) allowing purchase of 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; others 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.

Additional Information

• The organization is committed to an inclusive interview process, including accommodations for candidates with disabilities.