Transaction Fraud Strategy Analyst

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 teamStripe’s Fraud Risk Team is committed to minimizing Stripe’s financial losses from fraud attacks. The Transaction Fraud Team is responsible for building and implementing strategies that scalably reduce risk for Stripe and preserve a healthy payment and financial ecosystem, while creating positive experiences for users.What you’ll doAs a Transaction Fraud Strategy Analyst on the Transaction Fraud team, you will be directly responsible for preventing, detecting and mitigating Transaction Fraud at Stripe. You will enable safer payments for our users and help Stripe manage payments risks intelligently. The stakes are high, and you will be up against ever-evolving challenges. You will face some of the most complex and dynamic problems at the company, and the nature of your work will evolve rapidly to combat new and more sophisticated challenges to Stripe’s payments integrity.ResponsibilitiesMonitor portfolio and transactions to identify, mitigate and predict risky behavior that could result in losses for Stripe, our users, and the payment ecosystemCollaborating with internal partners like Product, Engineering, Data Science, Risk Partnerships, and Operations, to tailor fraud risk management techniques to various products, payment methods across the globeContinually evaluate product for gaps and propose risk controls to enhance the product while enabling growthScale risk processes to cover an increasingly large and complex landscape of payments risks and effectively design and outsource manual/repetitive workflowsWork with Stripe users to educate them about and help prevent potential risks to their businessChallenge the payments industry status quo to help enable innovative businesses to flourish onlineWho you areWe'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.5+ years of relevant professional experienceCuriosity and passion for risk management: if something seems off, you want to investigate what’s going on and solve root problemsDecisiveness, yet open to learning: you will make many critical decisions every day impacting large numbers of merchantsWillingness to make these difficult decisions and quickly learn and iterate from these experiences - you are skilled at using data to drive decisionsUnderstanding and empathy for the challenges of setting up a new business - you will thoughtfully balance scaled enforcement decisions with user experienceStrong analytical skills - you are passionate about data analysis and can frame business decisions and tradeoffs effectively through quantitative analysis and visualizationAdvanced SQL skills and experience in applying these skills in business environmentsDemonstrated experience working in a cross-collaborative environment, mainly with Engineering, Product, and Data Science partnersExcellent communication skills and knows how to be a team player - you are able to convey complex ideas succinctly and work effectively across teamsAbility to think holistically and build out processes to bridge gaps in the systemPreferred qualificationsExpertise with quantitative tools such as Python, R, etcExperience with payments, risk, or trust & safetyExperience working with product teamsExperience working with machine learning teamsExperience working in fast-paced and rapidly changing start-up environmentsThis role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).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.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.The annual US base salary range for this role is $121,600 - $182,400. 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.At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. #J-18808-Ljbffr