Financial Model Risk Management Lead

Overview

This role supports model risk management within the Enterprise Risk & Internal Audit organization. You will independently challenge and validate Finance and Analytics quantitative models, lead end-to-end validation engagements for high-complexity/high-criticality models, and partner cross-functionally to remediate findings and strengthen model governance.

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 models
• Lead end-to-end validation engagements on high-complexity, high-criticality models
• Identify model weaknesses, limitations, and improvement opportunities; 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
• Partner with cross-functional teams to implement and maintain the model risk management framework
• Work 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
• 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 with strong critical thinking and structured problem-solving skills
• Extraordinary interpersonal and verbal/written communication skills, including the ability to influence model owners, present to senior stakeholders, and navigate cross-functional remediation

Preferred Qualifications

• Experience in credit underwriting or credit risk management

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 range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000
• Base pay range (all other U.S. states) per year: $164,000 - $224,000
• Total compensation package may include equity rewards and monthly stipends for health, wellness, and tech spending, plus benefits including 100% subsidized medical coverage for you and your dependents.
• Spending stipends: Monthly stipends for tech setup and to choose health and wellness options.
• Health coverage: 100% of premiums for employees and their dependents.
• Time off: Flexible time off and generous holiday calendars.
• Employee stock purchase plan (ESPP) enabling purchase of company stock at a discount.

Location

Remote-first with flexibility: 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 may be office-based.

All new hires will be invited to attend an in-person onboarding experience.

For positions based in San Francisco or Los Angeles: qualified applicants with arrest and conviction records may be considered, as required by law.

Inclusion

The organization is committed to an inclusive interview process, including accommodations for candidates with disabilities.