Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, Quick Books, and Mailchimp – Intuit serves over 100M customers. Intuit’s Consumer Group, including Turbo Tax, empowers millions of individuals to take control of their finances. Turbo Tax 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 and banking within the Consumer Group, including Turbo Tax. This role will be crucial in supporting our end-to-end risk analytics for consumer products. If you are passionate about working in a high-performing team that drives results through data-driven insights, and understands the unique risks within Fintech, this role is for you.

We are seeking a Staff Fraud & Risk Analyst as part of our growing Consumer Risk Analytics team supporting consumer 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

• 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, businessknowledge, 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 4 years of relevant experience. Experience in Financial Services or Fin Tech and consumer banking 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.
• 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.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York, City, NY $168,500 - $228,000