Overview
Join to apply for the Fraud Data Analyst role at Stripe.
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies – from the world’s largest enterprises to the most ambitious startups – 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 staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone\'s reach while doing the most important work of your career.
The Team
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, and working collaboratively with fraud, operations, and product stakeholders to proactively implement fraud strategies and controls. They 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 has a strong desire to work collaboratively with peers and partners in the fraud space. This position works closely with cross-functional stakeholders across product, engineering, data science, and operations to identify and mitigate risk from complex, distributed transaction fraud attacks.
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. Candidates should have experience writing, maintaining, and analyzing complex fraud rulesets and demonstrated success minimizing fraud losses along with impacts to users. Candidates should also have experience working closely with product teams to implement risk controls and demonstrate a deep understanding of fraud typologies, controls, and ability to mitigate fraud risk.
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 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.
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 visualizations 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, ecommerce, 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
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 and Remote Work Expectations
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This balances in-person collaboration with flexibility for individuals and their teams.
A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. You would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, but you would regularly work from home. Stripe does not cover relocation costs.
Pay and Benefits
The annual US base salary range for this role is $114,500 - $171,800. This may be narrowed during the interview process based on experience, qualifications, and location. Applicants outside the US may request the annual salary range for their location during the interview process. Additional benefits may include equity, bonuses or commissions, 401(k), medical/dental/vision, and wellness stipends.