Remote Fraud Patterns Analyst - Data-Driven Risk Expert

Stripe; Chicago (IL); Hybrid; USD 115,000 - 172,000; Full time

Job summary

Stripe is seeking an experienced Fraud Analyst to join its Risk Operations team, focusing on building and maintaining fraud rulesets, conducting advanced data analyses, and collaborating with product, risk, and operations to mitigate fraud exposure. The role requires deep fraud pattern knowledge, SQL expertise, and a track record of reducing losses while protecting users.

The position offers a hybrid work arrangement in the United States, with a strong emphasis on cross-functional collaboration

Qualifications

• Minimum five years of experience in advanced data analysis and fraud rulesets.
• Advanced-level proficiency in SQL.
• Experience creating data visualizations and dashboards for senior leadership.
• Experience collaborating with product, risk, and operations teams.

Responsibilities

• Build and maintain fraud rulesets to prevent transaction-level fraud.
• Conduct advanced data analysis of structured and unstructured data to identify emerging fraud attacks.
• Collaborate with product, risk, and operations teams to mitigate fraud exposure.
• Investigate root causes and deploy remediations to prevent future attacks.
• Investigate and take action against anomalous clusters of transactions while minimizing negative user impact.
• Respond to incidents involving complex fraud schemes to mitigate exposure.
• Create visualizations, dashboards, and queries to drive visibility and oversight into impact and risk.
• Utilize Stripe tools to enable systematic actioning of fraudulent merchants with high accuracy.

Skills

Advanced SQL

Fraud rulesets

Data analysis

Data visualization

Cross-functional collaboration

Education

Analytics/data science/ statistics degree

Tools

Splunk

Python

Tableau

Job description

Stripe is seeking an experienced Fraud Analyst to join its Risk Operations team, focusing on building and maintaining fraud rulesets, conducting advanced data analyses, and collaborating with product, risk, and operations to mitigate fraud exposure. The role requires deep fraud pattern knowledge, SQL expertise, and a track record of reducing losses while protecting users.

The position offers a hybrid work arrangement in the United States, with a strong emphasis on cross-functional collaboration