Financial Model Risk Management Lead

Overview

This role is part of the Enterprise Risk & Internal Audit organization, which protects operations and supports long-term success by identifying, assessing, and monitoring risk across the business. Work includes internal audits, regulatory assurance, fraud prevention, and crisis planning.

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

• Conduct 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, using 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; communicate findings clearly 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
• Work 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; skilled at critical thinking and structured problem-solving
• Strong interpersonal communication skills, with the ability to influence model owners, present to senior stakeholders, and navigate cross-functional remediation

Compensation & Benefits

• Pay grade: M
• Equity grade: 8
• New hires typically start at the beginning of the pay range.

Base pay ranges (per year):

• USA base pay range (CA, WA, NY, NJ, CT): $185,000 - $245,000
• USA base pay range (all other U.S. states): $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
• Benefits, including 100% subsidized medical coverage, dental and vision for you and your dependents

Additional benefits highlights:

• Health coverage at no cost (100% of premiums for employees and their dependents)
• Monthly spending stipends to support your tech setup and choose 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 performed 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 are invited to attend an in-person onboarding experience.

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

Equal Opportunity / Accessibility

The interview process includes accommodations for candidates with disabilities.