Financial Model Risk Management Lead

Overview

This role supports Enterprise Risk & Internal Audit through independent validation of Finance and Analytics quantitative models. The Model Risk Management (MRM) function serves as a second line of defense by establishing and overseeing a 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
  • related decision-support analytics
  • Validate through rigorous validation and ongoing monitoring
• Lead end-to-end validation engagements for high-complexity, high-criticality models
• Identify model weaknesses, limitations, and improvement opportunities; 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 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); comfortable 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; strong critical thinking and structured problem-solving
• Exceptional 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 grade: M
• Equity grade: 8
• 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
• 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
  • benefits including 100% subsidized medical coverage for employees and their dependents
• Spending stipends: Monthly stipends support your tech setup, plus the ability to choose health and wellness options
• Time off: Flexible time off and generous holiday calendars
• Employee stock purchase plan (ESPP): Ability to buy company stock at a discount
• Health coverage at no cost: 100% of premiums for employees and dependents

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; a few are office-based due to the nature of the work.
• All new hires will be invited to attend an in-person onboarding experience.

Additional note: For positions based in San Francisco or Los Angeles, the organization considers qualified applicants with arrest and conviction records, as required by law.

Equal Opportunity

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