Fraud Patterns Analyst
Stripe · United States
- Hybrid
- Full-time
- $171,800 / year
- United States
Job highlights
- Analyze transaction data to prevent fraud.
- Write and maintain fraud rulesets.
- Collaborate with cross-functional teams.
- Identify and mitigate emerging fraud trends.
- Minimize fraud losses and user impact.
About the role
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.
About 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 and 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 and typologies, advanced SQL proficiency, strong analytical abilities, and experience writing and managing fraud rulesets.
What you'll do
Did you know that only around 4% of the world's GDP comes from internet commerce? At Stripe, we believe that this represents a future with almost limitless potential for innovation, creativity, and global prosperity. While the promise of a global online economy is palpable, it doesn't come without significant risk. Each day, bad actors disrupt the trust and safety of the internet and increase the barrier of entry for online businesses. Before we can fully realize the potential of a global internet economy, we must first address the burgeoning problem of fraud.
We are looking for someone passionate about fighting fraud, identifying new trends and typologies, conducting complex data analysis, and working 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 for this role will have a minimum of five years' experience conducting advanced data analysis using SQL, preferably within the fraud space across e-commerce, 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 an extremely 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 visualizations and dashboards and 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 and solutions-oriented
Preferred Qualifications
- Fraud experience in payments, e-commerce, fintechs, or cryptocurrency mitigating digital and 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
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 a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
Working remotely at Stripe
A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live.
Pay and benefits
The annual US base salary range for this role is $114,600 - $171,800. For sales roles, the range provided is the role’s On Target Earnings (OTE) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Key skills/competency
- Fraud Analysis
- Risk Management
- SQL Proficiency
- Data Analysis
- Fraud Rulesets
- Transaction Fraud
- E-commerce Fraud
- Cryptocurrency Fraud
- Risk Operations
- Problem-Solving
Skills & topics
- Fraud Analyst
- Risk Operations
- Data Analysis
- SQL
- Fraud Rulesets
- Financial Services
- E-commerce
- Payments
- Cryptocurrency
- Cybersecurity
How to get hired
- Tailor your resume: Highlight your 5+ years of advanced data analysis and fraud ruleset management experience, emphasizing SQL proficiency.
- Showcase your skills: Quantify your success in minimizing fraud losses and user impact in previous roles.
- Prepare for technical questions: Be ready to discuss your experience with SQL, data visualization tools, and fraud typologies.
- Demonstrate collaboration: Provide examples of working effectively with product, engineering, and data science teams.
- Research Stripe: Understand their mission, values, and the impact of fraud in the internet economy.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the salary range for a Fraud Patterns Analyst at Stripe?
- The annual US base salary range for a Fraud Patterns Analyst at Stripe is $114,600 - $171,800. This range may be adjusted based on factors such as candidate experience, qualifications, and location. Applicants outside the US can inquire about their location's salary range during the interview process.
- Can I work remotely as a Fraud Patterns Analyst at Stripe?
- Yes, this role is available as a remote position. A remote location is defined as being 35 miles or more from a Stripe office. While you can come into the office for meetings, the expectation is that you would primarily work from home.
- What are the key technical skills required for the Fraud Patterns Analyst role at Stripe?
- Key technical skills include advanced-level proficiency in SQL for data analysis, experience managing transaction fraud rulesets, and the ability to create data visualizations and dashboards. Experience with tools like Splunk, Python, or Tableau is preferred.
- What kind of fraud experience is most relevant for this Fraud Patterns Analyst position at Stripe?
- Stripe is particularly interested in candidates with fraud experience in payments, e-commerce, fintech, or cryptocurrency, specifically in mitigating digital and card-not-present fraud. Experience with card testing and account takeover attacks is also highly valued.
- How does Stripe approach hybrid work for this Fraud Patterns Analyst role?
- For this role, Stripe offers a hybrid work model. If working in an office, employees are expected to spend at least 50% of their time in the local office or with users. Remote employees are expected to work from home, with the option to visit the office for specific events or meetings.
- What are the minimum years of experience required for the Fraud Patterns Analyst role at Stripe?
- The minimum requirement for this role is five years of experience conducting advanced data analysis and managing transaction fraud rulesets.
- What is Stripe's mission, and how does this role contribute to it?
- Stripe's mission is to increase the GDP of the internet. As a Fraud Patterns Analyst, you will play a crucial role in combating fraud, thereby increasing trust and safety online, which directly contributes to the growth and potential of the global internet economy.