Summer 2027: MS Fraud & Risk Intern

Overview To qualify for US internships, you must be currently enrolled in a degree-seeking program with an expected graduation date after the internship/co-op ends. If you do not meet this requirement, we invite you to explore other opportunities available on our careers website. Overview To qualify for US internships, you must be currently enrolled in a degree-seeking program with an expected graduation date after the internship/co-op ends. If you do not meet this requirement, we invite you to explore other opportunities available on our careers website. Intuit internships are 12 weeks throughout the summer. We have fixed start and end dates that are designed to work with various universities’ academic calendars. Cohort 1: Monday, May 17 - Friday, August 6, 2027 (12 weeks) Cohort 2: Monday, June 14 - Friday September 3, 2027 (12 weeks) About Our Emerging Talent Program Intuit invests in Emerging Talent because fresh perspectives strengthen our products and teams. The program is backed by a culture that values curiosity and collaboration, and you'll be supported by dedicated managers and mentors who are invested in your growth. As an intern or co-op, you'll work on meaningful projects with business impact, many centered on AI and emerging technologies, and contribute to driving decisions. You'll build skills through function-specific learning opportunities, connect with a global community of interns and co-ops through dedicated programming and social events, and get exposure to senior leadership and cross-functional work across Intuit's product ecosystem. Learn more about our Intern and Co-op Program here. About The Team Intuit’s Money Risk team harnesses the power of data, technology, and people to protect our customers, partners, and business from fraud and abuse. The team is looking for a Fraud & Risk Analyst Intern who is passionate about data and excited to partner with product managers, engineers, and data scientists to deliver fresh insights and intelligent solutions to fight fraud. Responsibilities Translate business questions into verifiable hypotheses, create experiments to test them, and generate recommendations based on the findings Leverage data to understand fraudulent/financial risk behavior, identify trends that indicate elevated risk, and to inform policy decisions. Proactively identify ways to improve existing processes and suggest projects that address key issues while providing an awesome and delightful customer experience. Deliver accurate metrics related to risk activity, policy rules, and operating effectiveness via dashboards using disparate data sources and systems. Curate and standardize risk-related datasets used as the foundation for all Intuit-wide fraud analysis. Use SQL, Python, Tableau, and spreadsheets to quickly analyze, manipulate and visualize small to large datasets to guide fraud and risk policy discussions. Create clear concise diagrams to document data flows and business processes. Vigorously validate the integrity and quality of data required for performing analysis. Partner with fraud investigation teams, policy makers, product managers, and data scientists to deliver data insights and analysis that inform critical decisions and help us reach our goals. Qualifications Strong business acumen and exceptional analytical ability with 1-2 years of relevant experience. Experience in Fraud Prevention or Risk preferred. Advanced SQL and coding skills to perform data, profiling, segmentation and aggregation. Experience with statistical analysis in support of justifying policy recommendations is preferred Significant experience with relational databases (Oracle, SQL Server, MySQL, Vertica) preferred. Good working experience with data analytics and visualization tools (Excel, Python, Tableau, QlikView, etc.). Outstanding communication skills with the ability to deftly negotiate, prioritize across technical and non-technical teams, influence decision makers and build consensus with teams. Detail-oriented with a high degree of accountability, organization and empathy. Working toward a Bachelor’s Degree in Quantitative Field or commensurate experience. Master’s degree preferred. Compensation Intuit provides a competitive compensation package with a strong pay for performance rewards approach. 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: $55 - 65 /hr in MTV. The Expected Base Pay Range For This Position Is Mountain View $0 - $0 New York $0- $0 #J-18808-Ljbffr Intuit