Financial Model Risk Management Lead

Overview

This role involves joining the Model Risk Management (MRM) team within Enterprise Risk & Internal Audit as a Lead validator 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.

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
    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; clearly articulate findings 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
• Partner with Internal Audit, Internal Controls, Accounting, and Compliance to ensure 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); 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 about data, models, and business context; skilled at 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 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
• 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
• Health coverage at no cost: 100% of premiums for employees and their dependents
• Spending stipends: monthly stipends for your tech setup and options for health and wellness
• Time off: flexible time off and generous holiday calendars
• Employee stock purchase plan (ESPP): 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, 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 employer considers qualified applicants with arrest and conviction records, as required by law.

Accessibility & Privacy

The interview process includes accommodations for candidates with disabilities.