Stripe
Overview
Stripe is a financial infrastructure platform for businesses. Millions of companies use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a significant amount of work ahead. The Risk Operations team is looking for an experienced fraud analyst to join an industry leading global fraud operations team. This role is responsible for writing and maintaining fraud rulesets to prevent transaction fraud, conducting data analysis to identify and mitigate fraud while minimizing impact to users, and collaborating with fraud, operations, and product stakeholders to proactively implement fraud strategies and controls. The ideal candidate should have a deep understanding of fraud patterns/typologies, advanced SQL proficiency, strong analytical abilities, and experience writing and managing fraud rulesets. What you’ll do
We are looking for someone passionate about fighting fraud, identifying new trends/typologies, conducting complex data analysis, and collaborating with peers and partners in the fraud space. This role works closely with cross-functional stakeholders across product, engineering, data science, and operations to identify and mitigate risk from complex, distributed transaction fraud attacks. 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 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 and 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 and systems to enable systematic actioning of fraudulent merchants, maintaining a high level of accuracy to prevent negative user experience. Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum Requirements
A minimum of five years of experience conducting advanced data analysis and managing transaction fraud rulesets. Advanced level proficiency in SQL. Experience working closely with modeling, data science, and intelligence stakeholders to implement automatic and scaled controls and processes. Experience creating data visuals and dashboards and presenting findings to technical and non-technical audiences, including senior leadership. The ability to drive execution on projects 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 and 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, and link analysis Experience working in fast-paced and rapidly changing environments Experience designing and implementing product level fraud and risk controls You should Include These In Your Application
Your resume and LinkedIn profile Work setup
Hybrid work at Stripe: This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). In-office expectations: Office-assigned Stripes spend at least 50% of the time in their local office or with users to support in-person collaboration while maintaining flexibility for individuals and teams. Remote work: A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. You may come into the office for team meetings or events, but the expectation is to regularly work from home. Stripe does not cover relocation costs for remote roles. Apply for roles that match your location.
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Stripe is a financial infrastructure platform for businesses. Millions of companies use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a significant amount of work ahead. The Risk Operations team is looking for an experienced fraud analyst to join an industry leading global fraud operations team. This role is responsible for writing and maintaining fraud rulesets to prevent transaction fraud, conducting data analysis to identify and mitigate fraud while minimizing impact to users, and collaborating with fraud, operations, and product stakeholders to proactively implement fraud strategies and controls. The ideal candidate should have a deep understanding of fraud patterns/typologies, advanced SQL proficiency, strong analytical abilities, and experience writing and managing fraud rulesets. What you’ll do
We are looking for someone passionate about fighting fraud, identifying new trends/typologies, conducting complex data analysis, and collaborating with peers and partners in the fraud space. This role works closely with cross-functional stakeholders across product, engineering, data science, and operations to identify and mitigate risk from complex, distributed transaction fraud attacks. 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 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 and 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 and systems to enable systematic actioning of fraudulent merchants, maintaining a high level of accuracy to prevent negative user experience. Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum Requirements
A minimum of five years of experience conducting advanced data analysis and managing transaction fraud rulesets. Advanced level proficiency in SQL. Experience working closely with modeling, data science, and intelligence stakeholders to implement automatic and scaled controls and processes. Experience creating data visuals and dashboards and presenting findings to technical and non-technical audiences, including senior leadership. The ability to drive execution on projects 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 and 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, and link analysis Experience working in fast-paced and rapidly changing environments Experience designing and implementing product level fraud and risk controls You should Include These In Your Application
Your resume and LinkedIn profile Work setup
Hybrid work at Stripe: This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). In-office expectations: Office-assigned Stripes spend at least 50% of the time in their local office or with users to support in-person collaboration while maintaining flexibility for individuals and teams. Remote work: A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. You may come into the office for team meetings or events, but the expectation is to regularly work from home. Stripe does not cover relocation costs for remote roles. Apply for roles that match your location.
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