Fraud & Risk Analytics Intern - Data-Driven

Intuit Inc.; New York (NY); On-site; USD 76,000 - 90,000; Full time

Job summary

Intuit Inc. is seeking a Fraud & Risk Analyst Intern to work with the Money Risk team on data-driven insights and intelligent solutions to fight fraud.

You will collaborate with product managers, engineers, and data scientists to translate business questions into verifiable hypotheses and test them with experiments. You will leverage SQL, Python, and Tableau to analyze large datasets, build dashboards, and communicate findings to inform policy decisions and drive business impact during a 12-week

Qualifications

• Strong business acumen with 1-2 years of relevant experience in Fraud Prevention or Risk preferred.
• Advanced SQL and coding skills to perform data profiling, segmentation and aggregation.
• Experience with statistical analysis supporting 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 negotiate, prioritize across technical and non-technical teams, influence decisions and build consensus.
• Working toward a Bachelor’s Degree in Quantitative Field or commensurate experience; Master’s degree preferred.

Responsibilities

• Translate business questions into verifiable hypotheses, create experiments to test them, and generate recommendations based on findings.
• Leverage data to understand fraudulent/financial risk behavior, identify trends indicating elevated risk, and inform policy decisions.
• Proactively identify ways to improve existing processes and propose projects to address key issues while ensuring a positive customer experience.
• Deliver accurate metrics related to risk activity, policy rules, and operating effectiveness via dashboards using disparate data sources.
• Curate and standardize risk-related datasets used as the foundation for Intuit-wide fraud analysis.
• Use SQL, Python, Tableau, and spreadsheets to analyze, manipulate and visualize datasets to guide policy discussions.
• Document data flows and business processes with clear diagrams.
• Vigorously validate data integrity and quality for analysis.
• Partner with fraud investigations, policy makers, product managers, and data scientists to deliver insights for critical decisions.

Skills

Advanced SQL

Python

Tableau

Data visualization

Analytics

Communication

Education

Bachelor's degree in quantitative field

Master’s degree preferred

Tools

Oracle

SQL Server

MySQL

Vertica

Excel

Tableau

QlikView

Job description

Intuit Inc. is seeking a Fraud & Risk Analyst Intern to work with the Money Risk team on data-driven insights and intelligent solutions to fight fraud.

You will collaborate with product managers, engineers, and data scientists to translate business questions into verifiable hypotheses and test them with experiments. You will leverage SQL, Python, and Tableau to analyze large datasets, build dashboards, and communicate findings to inform policy decisions and drive business impact during a 12-week