Financial Model Risk Management Lead

Overview

This role joins the Model Risk Management (MRM) team within Enterprise Risk & Internal Audit, which serves as a second line of defense for the organization. MRM establishes and oversees a model risk management framework to identify, quantify, monitor, mitigate, and report on model risk.

The validator role focuses on independent challenge, validation, and ongoing monitoring of Finance and Analytics quantitative models.

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
• Lead end-to-end validation engagements for high-complexity, high-criticality models
• Identify model weaknesses, limitations, and improvement opportunities; 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 organization’s 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 with 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 with strong critical thinking and structured problem-solving
• Exceptional interpersonal skills and strong verbal/written communication; able to influence model owners, present to senior stakeholders, and navigate cross-functional remediation

Preferred Qualifications

• Experience with credit underwriting or credit risk management

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 range (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

Compensation package may include:

• Equity rewards
• Monthly stipends for health, wellness, and tech spending
• Benefits including 100% subsidized medical coverage for you and your dependents

Additional benefits highlights:

• Health coverage at no cost (100% of premiums for employees and dependents)
• Monthly spending stipends
• Flexible time off and generous holiday calendar
• Employee stock purchase plan (ESPP) to buy 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, and 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.

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