Financial Model Risk Management Lead

Overview

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

This role is part of the Model Risk Management (MRM) team, which serves as a second line of defense. MRM establishes and oversees an effective model risk management framework to identify, quantify, monitor, mitigate, and report on model risk across the organization.

Responsibilities

• Perform independent challenges of financial and analytics quantitative models through rigorous validation and ongoing monitoring, including:
  • ALM
  • allowance/loss forecasting
  • loan transition models (LTM)
  • corporate financial planning models
  • take-up and engagement models
  • related decision-support analytics
• Lead end-to-end validation engagements on high-complexity, high-criticality models
• Identify model weaknesses, limitations, and opportunities for improvement; communicate 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 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 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 about data, models, and business context; skilled at critical thinking and structured problem-solving
• Strong 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
• Base pay range (USA, CA, WA, NY, NJ, CT): $185,000 - $245,000 per year
• Base pay range (USA, all other U.S. states): $164,000 - $224,000 per year
• New hires typically start at the beginning 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 employees and their dependents.

Benefits highlights:

• Health coverage at no cost: 100% of premiums for employees and dependents
• Spending stipends: monthly stipends for tech setup and to choose health and wellness options
• Time off: flexible time off and generous holiday calendars
• Employee stock purchase plan (ESPP): ability 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.
• A few positions are office-based due to the nature of the work.
• All new hires will be invited to attend an in-person onboarding experience.

Additional Information

• Accommodations are available for candidates with disabilities as part of an inclusive interview process.
• For positions based in San Francisco or Los Angeles: qualified applicants with arrest and conviction records are considered as required by law.