Financial Model Risk Management Lead

Overview

This role supports Model Risk Management (MRM) as part of the Enterprise Risk & Internal Audit function, serving as a second line of defense for model risk. Responsibilities include independent validation and ongoing monitoring of financial and analytics quantitative models across Finance and related analytics functions.

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 on high-complexity, high-criticality models
• Identify model weaknesses, limitations, and opportunities for improvement; communicate findings clearly 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
• Coordinate 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, intellectually curious approach to data, models, and business context; strong 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

Compensation & Benefits

Pay

• Pay Grade: M
• Equity Grade: 8

New hires typically enter 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, plus the ability to 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: most roles can be performed from almost anywhere within the country of employment
• Some positions may occasionally require in-person work at a company office; a few may be office-based depending on 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.

Additional Information

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