Financial Model Risk Management Lead

Overview

The Enterprise Risk & Internal Audit organization protects operations and long-term success by identifying, assessing, and monitoring risk across the business. Responsibilities include internal audits, regulatory assurance, fraud prevention, and crisis planning—along with maintaining strong controls, tracking key risk indicators, and ensuring readiness for external reviews.

Within Model Risk Management (MRM)—a second line of defense function—this role focuses on validating and monitoring financial and analytics quantitative models, with the goal of identifying, quantifying, monitoring, mitigating, and reporting 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; 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
• 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 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 able to apply 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 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

Additional benefits highlighted include:

• Health care coverage with premiums covered for all levels of coverage for you and your dependents
• Flexible Spending Wallets with generous stipends for Technology, Food, various Lifestyle needs, and family forming expenses
• Competitive vacation and holiday schedules
• ESPP (employee stock purchase plan) enabling you to buy shares at a discount

Location & Work Arrangement

##LI-Remote

This is a remote-first role. Most roles are remote, with work possible almost anywhere within the country of employment. In proximal roles, remote work is supported with occasional requirements to work out of an assigned office. A limited number of roles remain office-based depending on job responsibilities.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, the organization will consider for employment qualified applicants with arrest and conviction records.

Additional Information

Reasonable accommodations are available for candidates who need individualized support during the hiring process.