Senior Credit Risk Strategy Architect

Intuit, Inc.; Mountain View (CA); On-site; USD 151,000 - 204,000; Full time

Job summary

Intuit is seeking a Senior Credit Risk Strategy Analyst in Mountain View to develop risk solutions for faster, smarter decisioning and sustainable SMB growth. You will mine large-scale data, lead end-to-end risk policy work, and collaborate with data science and product teams to optimize risk and profitability.

Ideal candidates have advanced degrees in quantitative fields and strong SQL/Python/Tableau/Excel skills, plus experience in risk modeling, loss forecasting, and payment processing.

Qualifications

• MS/PhD or equivalent with 2+ years data analytics or data science experience; bachelor+4+ years acceptable.
• Proficient in SQL, Python, Tableau and Excel; strong analytical skills.
• Familiar with statistical modeling, loss forecasting, and fraud/risk trends.
• Ability to extract insights from data and drive informed decisions.

Responsibilities

• Mine large-scale account and transaction data to build and optimize risk strategies.
• Lead end-to-end risk policy work from identification to production monitoring.
• Develop expertise across money movement risks to balance risk and growth.
• Collaborate with data science, risk operations, product, and analytics teams.
• Test third-party data providers to address credit and exposure risk.
• Design and monitor tests to estimate key metrics for risk strategies.

Skills

Data analytics

Statistical modeling

Risk strategy development

Storytelling with data

Education

MS/PhD in Statistics, Mathematics, Finance, Economics, OR Operations Research

Bachelor's degree in same fields with 4+ years experience

Tools

SQL

Python

Tableau

Excel

A/B testing

Job description

Intuit is seeking a Senior Credit Risk Strategy Analyst in Mountain View to develop risk solutions for faster, smarter decisioning and sustainable SMB growth. You will mine large-scale data, lead end-to-end risk policy work, and collaborate with data science and product teams to optimize risk and profitability.

Ideal candidates have advanced degrees in quantitative fields and strong SQL/Python/Tableau/Excel skills, plus experience in risk modeling, loss forecasting, and payment processing.