Fraud Patterns Analysts
Conduct advanced SQL-based data analysis and build fraud rulesets to detect and mitigate complex transaction fraud across payments and e-commerce. Collaborate with product, data science, and operations teams to implement risk controls and reduce fraud losses.
About the job
Responsibilities
- Build and maintain fraud rulesets to prevent transaction level fraud losses, including ongoing monitoring and measurements of precision and recall
- Conduct advanced data analysis of structured and unstructured data sets to proactively identify emerging fraud attacks impacting Stripe and its users
- Collaborate closely with product, risk, and operations teams to proactively identify and mitigate fraud exposure
- Investigate, conduct root cause analysis, and deploy remediations to prevent future complex and distributed fraud attacks
- Investigate and take action against anomalous clusters of transactions based on account activity, processing volume, or other risk indicators while minimizing negative impacts to Stripe users
- Respond to incidents involving complex fraud schemes to quickly mitigate exposure to Stripe, its users, and financial partners
- Utilize analytics to identify & implement initiatives to automate manual processes and workload across the organization
- Create visualizations, dashboards, and queries to drive visibility and oversight into impact, performance, loss risks, and user experience
- Utilize Stripe tools & systems to enable systematic actioning of fraudulent merchants, maintaining an extremely high level of accuracy to prevent negative user experience
Requirements
- Minimum of five years of experience conducting advanced data analysis & managing transaction fraud rulesets
- Advanced level proficiency in SQL
- Experience working closely with modeling, data science, and intelligence stakeholders to implement automatic & scaled controls & processes
- Experience creating data visualizations and dashboards & presenting findings to technical and non-technical audiences, including senior leadership
- The ability to drive execution on projects working in a heavily cross-functional environment
- Creativity, a team-focused mentality, and effective problem solving skills
- The ability and desire to question the status quo
- The ability to approach challenges from a user perspective while being pragmatic & solutions oriented
Nice-to-Haves
- Fraud experience in payments, e-commerce, fintechs, or cryptocurrency mitigating digital/card-not-present fraud
- Experience investigating and mitigating card testing and account takeover attacks
- Proficiency in Splunk, Python, Tableau, or other data visualization tools
- Undergraduate or advanced degree in analytics, data science, or statistics
- Experience with clustering, classification, & link analysis
- Experience working in fast-paced and rapidly changing environments
- Experience designing and implementing product level fraud and risk controls
Skills
SQL, Python, Tableau, Splunk, Data Visualization, Fraud Detection, Root Cause Analysis, Clustering, Classification, Link Analysis
Similar jobs
Data Analytics jobs
Current
New York, NY
Analyzes marketing spend, channel performance, attribution, and customer growth through reporting, experimentation, data modeling, and predictive analytics. Requires 3+ years of data analysis experience, marketing expertise, SQL, BI tools, Python, and a quantitative bachelor’s degree.
PointClickCare
United States
Leads qualitative and quantitative market research to generate customer and market insights that guide product, growth, and business strategy. Requires five years of healthcare market research experience, advanced analytical and presentation skills, and proficiency with Excel, PowerPoint, Power BI, and AI solutions.
Upstart
United States
Analyzes loan-level quality, portfolio asset quality, and production model performance for unsecured lending. The role requires at least three years of experience in financial services or a related analytical risk function, plus proficiency with structured-data analysis and governance documentation.
PrizePicks
United States
Build and monitor pre-game and in-game sports player projections, manage risk through quantitative analysis, and support game-operations processes across leagues. The role requires strong DFS and sports-gaming knowledge, attention to detail, timely decision-making, and night/weekend availability.
PrizePicks
United States
The BI Analyst will analyze game operations, product, pricing, and user-performance data, translating findings into recommendations, dashboards, and reusable analyses. The role requires advanced SQL, visualization, and Excel skills plus experience in analytics, gaming, finance, or related domains.