Staff Fraud & Risk Analyst — Loss Forecasting & AI Insights

Intuit, Inc.; Mountain View (CA); On-site; USD 177,000 - 239,000; Full time

Benefits offered by this job

Restaurant-like perks

Job summary

Intuit, Inc. is seeking a Staff Fraud & Risk Analyst to own loss forecasting and reserving for an assigned portfolio. You will build durable forecasts, use AI to accelerate work, and influence business decisions with partners across Risk, Finance, and Accounting.

You will collaborate with Finance and Accounting to establish a single, timely view of losses and design scalable forecasting capabilities. Experience with SQL and Databricks is required.

Qualifications

• 7+ years in risk analytics, credit or loss forecasting in financial services or fintech.
• Expertise in loss forecasting, reserves, and P&L dynamics with attribution.
• AI-first approach to analysis while owning recommendations.
• Advanced SQL and experience with cloud data warehouses/lakehouses.
• Strong written communication and cross-functional partnering.

Responsibilities

• Own loss and reserve views for an assigned portfolio with clear basis.
• Turn analysis into actionable recommendations to protect profitability.
• Monitor trends and translate risk into P&L implications.
• Collaborate with Finance and Accounting for a unified view of losses.
• Build scalable forecasting and diagnostic capabilities.
• Lead attribution of loss movements and quantify impact.
• Advise on risks from initiatives and explain impact.
• Investigate forecast misses and suggest process improvements.
• Leverage SQL, Databricks, and AI to accelerate insights.

Skills

Loss forecasting

P&L analysis

SQL

Databricks

AI tools

Excel

Cross-functional collaboration

Tools

Databricks

Hive

Snowflake

Excel

Tableau

Looker

Python

Job description

Intuit, Inc. is seeking a Staff Fraud & Risk Analyst to own loss forecasting and reserving for an assigned portfolio. You will build durable forecasts, use AI to accelerate work, and influence business decisions with partners across Risk, Finance, and Accounting.

You will collaborate with Finance and Accounting to establish a single, timely view of losses and design scalable forecasting capabilities. Experience with SQL and Databricks is required.