Intuit Staff Fraud Risk Analyst 

United States, California, Mountain View 

403539902

• Ability to analyze & research large data sets and translate insights into risk and business opportunities/requirements.
• Develop compelling visualizations that crystallize business opportunities for stakeholders and leaders to make timely decisions.
• Design and run data driven tests and experiments that identify business opportunities and compare performance against company goals.
• Use forecasting and predictive analytics techniques in developing insights and communicate/ collaborate with partners on derived impacts to business.
• Collaborate with stakeholders and analysts to ensure analytical solutions are scalable, repeatable, effective, and meet expectations of various stakeholders
• Use big data technology to mine massive scale transactional data to improve the fraud and credit risk mitigation strategies and design new risk-adjusted policy proposals.
• Work with product and technology teams to build risk solutions and collaborate with risk operations to operationalize solutions and get feedback.
• Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist.
• Build relationships with other functions critical to the team's mission.
• Ensure data collection and data processing is optimized to support new initiatives and product releases.
• Team player with experience working on cross functional groups toward shared outcomes. Must have good judgement with the ability to think creatively and strategically while working on multiple key projects simultaneously.

Bay Area California $172,000 - $232,500

This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at

• Strong analytical ability and proven business acumen with at least 4 years of relevant experience. Experience in Financial Services or FinTech and consumer lending preferred.
• Advanced SQL and coding skills to perform data segmentation and aggregation from scratch.
• Good working experience with data analytics and visualization tools like Quicksight and Tableau.
• Knowledge of statistical analysis including A/B and multivariate testing.
• Written and verbal communication skills.
• High degree of accountability, organization and empathy.
• Experience working with Key Performance Indicator (KPI or OKR) metrics.
• Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations
• Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
• Able to work in a fast-paced working environment, multitask, balancing short & long term strategic implications to meet or exceed business objectives
• Bachelor’s degree in economics, Science, Math or other Quantitative Field, or commensurate experience.