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Staff Fraud and Risk Analyst

Category Security, Risk & Fraud Location Mountain View, California Job ID 2025-69707
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit’s Consumer Group, including TurboTax, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. We leverage data and insights to innovate and enhance our consumer offerings.

Now, we are expanding our focus to Consumer Lending within the Consumer Group, including TurboTax. This role will be crucial in supporting our end to end analytics for consumer lending products. If you are passionate about working in a high-performing team that drives results through data-driven insights in consumer lending spaces, and understands the unique risks within Fintech, this role is for you.

We are seeking a Staff Business Data Analyst as part of our growing Risk team within Intuit to lead the analytics for consumer lending products.The successful analyst will work across functions (Fraud & Risk policy, Credit risk, Operations, Data Science, Compliance, Marketing, Product, Finance, etc.) and use data to drive insights which help achieve Intuit Consumer Business Group’s short and long-term business outcomes.

We’re looking for a candidate who will continue to build a strong analytics culture as part of our growing team.

Responsibilities

  • Develop compelling visualizations that crystallize business opportunities for business 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 dashboards 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.
  • 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

Qualifications

  • Strong analytical ability and proven business acumen with at least 5 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 Tableau and Quicksight
  • 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.
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