Financial Model Risk Management Lead

Overview

The organization is seeking a Lead validator to join the Model Risk Management (MRM) team within Enterprise Risk & Internal Audit. This role serves as the second line of defense by establishing and overseeing an effective model risk management framework to identify, quantify, monitor, mitigate, and report model risk across the organization.

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
• Conduct rigorous validation and ongoing monitoring of financial and analytics quantitative models
• Lead end-to-end validation engagements on 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 MRM framework
• Work 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 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, intellectually curious, and skilled in critical thinking and structured problem-solving
• Extraordinary interpersonal and verbal/written communication skills, including influencing model owners, presenting to senior stakeholders, and navigating 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 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): $185,000 - $245,000 per year
• (all other U.S. states): $164,000 - $224,000 per year

Benefits highlights:

• Health coverage at no cost: 100% of premiums for employees and their dependents
• Monthly spending stipends for tech setup and health/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 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 positions may be 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.

Additional Information

• Accommodations are available for candidates with disabilities as part of an inclusive interview process.