Financial Model Risk Management Lead

Overview

This role is part of the Enterprise Risk & Internal Audit organization and focuses on Model Risk Management (MRM) for Finance and Analytics models. MRM 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 across the business.

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
  • Ensure validation and ongoing monitoring through rigorous validation practices
• Lead end-to-end validation engagements for high-complexity, high-criticality models
• Identify model weaknesses, limitations, and opportunities for improvement
• Clearly articulate validation 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
  • 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 with 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 Grade: M
• Equity Grade: 8
• New hires typically enter 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
• Total compensation package 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)
• Health coverage at no cost: 100% of premiums for employees and their dependents
• Spending stipends: Monthly stipends to support your tech setup and health/wellness options
• Time off: Flexible time off and generous holiday calendars
• Employee stock purchase plan (ESPP): ability to buy company 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; some may be office-based.
• All new hires will be 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 interview process includes accommodations for candidates with disabilities.