Financial Model Risk Management Lead

Overview

The organization is seeking a Lead validator to join its Model Risk Management (MRM) team within Enterprise Risk & Internal Audit. 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, and 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; articulate 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
• 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 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 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

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, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents).

USA base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000

USA base pay range (all other U.S. states) per year: $164,000 - $224,000

Benefits highlights

• Health coverage at no cost: 100% of premiums covered for employees and their dependents
• Monthly spending stipends for your tech setup and the ability to choose health and wellness options
• Flexible time off and generous holiday calendars
• Employee stock purchase plan (ESPP) that allows you 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, while 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.