Financial Model Risk Management Lead

Overview

This role involves joining the Model Risk Management (MRM) team to serve as a Lead validator for Finance and Analytics models. MRM functions as the organization’s second line of defense by establishing and overseeing an effective 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
  • related decision-support analytics
  • Ensure rigorous validation and ongoing monitoring of these models
• Lead end-to-end validation engagements for high-complexity, high-criticality models
• Identify model weaknesses, limitations, and improvement opportunities; 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 model risk management 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
• 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 in 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

Preferred Qualifications

• Experience in credit underwriting or credit risk management is a plus

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 (per year):

• USA base pay range (CA, WA, NY, NJ, CT): $185,000 - $245,000
• USA base pay range (all other U.S. states): $164,000 - $224,000

Equity and benefits may include:

• Equity rewards
• Monthly stipends for health, wellness, and tech spending
• 100% subsidized medical coverage, plus dental and vision for you and your dependents
• Spending stipends
• Flexible time off and generous holiday calendars
• Employee Stock Purchase Plan (ESPP), which allows employees 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, and a few are 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 will be considered, as required by law.