Job Description

Role Description

The Risk Operations team is looking for an experienced fraud analyst to join an industry leading global fraud operations team. This position is responsible for:

• Writing and maintaining fraud rulesets to prevent transaction fraud.
• Conducting data analysis to identify & mitigate fraud attacks while minimizing impact to users.
• Working collaboratively with fraud, operations, and product stakeholders to proactively implement fraud strategies and controls.

The right candidate will have a minimum of five years experience conducting advanced data analysis using SQL, preferably within the fraud space across ecommerce, payments, or cryptocurrency.

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.

Qualifications

• A 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.

Preferred Qualifications

• 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.

Application Instructions

You should include these in your application:

• Your resume and LinkedIn profile.

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