TL;DR

Senior Credit Risk Analyst (Fintech): Developing and optimizing end-to-end credit risk strategies for a high-growth SMB lending business with an accent on underwriting, pricing, and portfolio performance. Focus on leveraging data-driven insights and advanced modeling to drive customer acquisition and profitability while maintaining rigorous credit risk guardrails.

Location: Mountain View, California

Company

Intuit is a global financial technology platform that powers prosperity through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Develop and manage credit risk strategies covering customer targeting, underwriting, and collections.
  • Utilize QuickBooks customer cashflow data to enhance predictive modeling and risk management.
  • Design A/B tests and hypothesis testing frameworks to evaluate credit risk and return trade-offs.
  • Build monitoring frameworks and track key performance indicators to ensure strategy effectiveness.
  • Collaborate cross-functionally with Data Science, Engineering, Product, and Marketing teams.
  • Contribute to the creation of innovative new financing products.

Requirements

  • Bachelor’s degree in a quantitative field such as Finance, Mathematics, or Engineering.
  • Minimum 6 years of professional experience in credit risk analytics and management.
  • Proficiency in analytical tools including SQL, SAS, Python, R, and Tableau.
  • Familiarity with credit scoring, regression modeling, and machine learning techniques.
  • Strong grasp of bureau attributes, cash flow data, and alternative data sources.
  • Excellent communication skills for influencing stakeholders and driving decision-making.

Culture & Benefits

  • Competitive base pay with a performance-based rewards approach.
  • Eligibility for cash bonuses, equity rewards, and comprehensive benefits packages.
  • Commitment to fair pay through regular internal comparisons across demographics.
  • Work within a fast-paced, high-visibility team dedicated to reinventing small business borrowing.