Financial Model Risk Management Lead

Overview

This role is part of the Enterprise Risk & Internal Audit organization. The team identifies, assesses, and monitors risk across the business, including internal audits, regulatory assurance, fraud prevention, and crisis planning. Work supports strong controls, tracking key risk indicators, and readiness for external reviews.

Within this organization, Model Risk Management (MRM) serves 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 validation and ongoing monitoring
• Lead end-to-end validation engagements on high-complexity, high-criticality models
• Identify model weaknesses, limitations, and improvement opportunities; 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 and/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, intellectually curious, and skilled at critical thinking and structured problem-solving
• Strong interpersonal and verbal/written communication skills, including the ability to influence model owners, present to senior stakeholders, and drive cross-functional remediation

Compensation & Benefits

Pay Grade: M
Equity Grade: 8

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, dental and vision for you and your dependents).

USA base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000
USA base pay range (all other U.S. states) per year: $164,000 - $224,000

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

Interview accessibility

• Inclusive interview process with accommodations for candidates with disabilities

San Francisco / Los Angeles notice

• For positions based in San Francisco or Los Angeles: qualified applicants with arrest and conviction records are considered as required by law.

Location

Remote-first with flexibility built in. Most roles can be done from almost anywhere within the country of employment, with occasional in-person requirements for some positions and onboarding that includes an in-person experience.