Data Analyst - Fraud

Stripe

WHO WE ARE 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

Stripe

WHO WE ARE 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 mission of Fraud Operations is to act as guardians of the global financial ecosystem by proactively reducing fraud, making it difficult and unprofitable for fraudsters to carry out attacks through Stripe. Fraud Ops is responsible for developing and maintaining scalable processes related to fraud analysis, card testing, account takeover, and financial partner investigation requests. We strive to improve manual fraud decisioning and enhance support experiences for users impacted by fraud decisions, all while enabling healthy growth for the business. WHAT YOU'LL DO As a Payments Fraud Investigator, you'll play a critical role in safeguarding our financial ecosystem by investigating high-risk accounts and identifying various forms of fraud. You'll conduct deep-dive analyses of merchant accounts, lead cross-functional projects, and collaborate with stakeholders to enhance our fraud detection and prevention strategies at scale. Your expertise in fraud patterns and typologies is essential in developing and enhancing investigative processes and programs. RESPONSIBILITIES * Analyze high-risk accounts to identify fraudulent merchants, card testing, account takeovers, and other fraud vectors * Lead root cause analyses to identify gaps in current systems, policies, and strategies, and determine enhancements and process improvements to address emerging fraud risks through collaboration with key stakeholders * Drive cross-functional projects aimed at refining operational processes and tools, enhancing the detection and management of fraudulent accounts across our global analyst network * Investigate, mitigate, and remediate urgent fraud incidents, such as card testing and account takeover, and manage user responses to high-urgency distributed fraud attacks * Communicate regular updates during team and organization-wide business reviews, summarize outcomes of complex investigations for executives, and deliver clear case determinations to users and partner financial institutions * Travel to vendor locations to conduct analyst training sessions and knowledge-sharing initiatives, while identifying challenges and enhancing analyst performance to improve overall outcomes 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 * 3+ years of experience conducting complex investigations * 1+ years of experience leading risk-related projects and initiatives, collaborating effectively with cross-functional stakeholders * Demonstrated ability to leverage data to propose solutions for both tactical and strategic challenges * Proactive approach to challenging the status quo, with a willingness to question existing processes and advocate for improvements * User-centric perspective when addressing challenges, balanced with a pragmatic and solutions-oriented mindset * Ability to travel to vendor locations for up to 10% of the year PREFERRED QUALIFICATIONS * Experience in payments, e-commerce, social media, or fintech, mitigating digital or card-not-present fraud * Experience investigating and mitigating card testing and account takeover attacks * Experience designing fraud and risk workflows, analyst tooling, and processes and procedural workflows * Strong proficiency using SQL to analyze data, drive insights, and create dashboards and visualizations

Calendly

WHAT’S IN IT FOR YOU?  Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey. A DAY IN THE LIFE You’ll report to the Director of Analytics and serve as the connective tissue across Calendly’s Analytics organization. Our teams generate valuable insights across Product Analytics, Reporting Analytics, Marketing Analytics, and Data Science. But insights only create value when they influence decisions. This role exists to bridge the gap between analytical output and business action. You’ll partner closely with analysts, analytics leaders, and business stakeholders to understand the underlying drivers behind findings, connect patterns that may not be visible within a single team or analysis, and identify the most important implications for the business. You’ll help determine what matters, why it matters, and what actions leaders should consider as a result. You are not responsible for conducting analyses yourself. Instead, you’ll synthesize findings across the organization, connect them to broader business strategy and performance, and ensure they are communicated in ways that drive understanding, alignment, and action. This is not a reporting or dashboarding role. It is a strategic synthesis, storytelling, and influence role focused on increasing the visibility, usability, and business impact of Calendly’s analytics investments. ON A TYPICAL DAY, YOU’LL: * Partner with Analytics teams and business leaders to understand emerging trends, identify the most important business implications, and shape narratives around high-impact findings. * Synthesize insights across Product Analytics, Reporting Analytics, Marketing Analytics, and Data Science, connecting findings to broader business strategy, customer behavior, product performance, and company goals. * Create executive-ready communications including decision briefs, presentations, strategic memos, planning materials, and leadership updates. * Curate and maintain recurring insight communications, including weekly and monthly business reviews, executive summaries, and stakeholder updates. * Ensure critical insights reach the right audiences—from the board and executive team to functional leaders and the broader organization—in formats that drive alignment and decision-making. * Develop foundational materials that improve organizational understanding of key business drivers, metrics, customer behaviors, and strategic priorities. * Establish standards and best practices for analytics storytelling, insight packaging, discoverability, and communication quality across the Analytics organization. * Help Analytics teams leverage AI and emerging tools to scale communications while maintaining editorial quality and analytical rigor. WHAT DO WE NEED FROM YOU? BASIC QUALIFICATIONS * 8+ years of experience in strategy, business operations, consulting, analytics enablement, product operations, research synthesis, or similar roles that translate complex information into business decisions. * Exceptional written and verbal communication skills, with the ability to simplify complex concepts without losing nuance and adapt messaging for audiences ranging from individual contributors to executive leadership. * Strong business acumen and analytical curiosity, with the ability to engage deeply with analytical findings, identify the most important insights, and connect them to broader company strategy, customer behavior, and business performance. * Demonstrated experience creating executive-level narratives, recommendations, and decision-support materials from analytical, technical, or operational inputs. * Experience working cross-functionally with analytics, product, GTM, finance, operations, and executive stakeholders. * Strong organizational and prioritization skills, with the ability to manage multiple concurrent projects and stakeholders. * High degree of ownership and comfort operating in ambiguous, fast-changing environments. PREFERRED QUALIFICATIONS * Experience in management consulting, business strategy, chief of staff, business operations, analytics leadership, or similar strategic roles. * Experience supporting executive leadership teams, strategic planning processes, board reviews, or company-level business reviews. * Familiarity with analytics workflows, experimentation, metrics, forecasting, and data-informed decision-making environments. * Track record of increasing the visibility, adoption, and business impact of analytical work across multiple functions. * Familiarity with AI tools for content creation and knowledge management, including appropriate use cases and quality controls. This role may require occasional travel for company events, team collaboration, or offsites. Tier 1 Salary Hiring Range $173,027—$203,561 USD Tier 2 Salary Hiring Range $158,608—$186,597 USD Tier 3 Salary Hiring Range $144,189—$169,634 USD The ranges listed above are the expected annual base salary for this role, subject to change. Calendly takes a number of factors into consideration when determining an employee’s starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity. Base salary is just one component of Calendly’s total rewards package. All full-time (30 hours/week) employees are also eligible for our Top Performer Bonus program (or Sales incentive), equity awards, and competitive benefits. Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows: * Tier 1: San Francisco, CA, San Jose, CA, New York City, NY * Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA. * Tier 3: All other locations not in Tier 1 or Tier 2 If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please let your Recruiter know when first connecting with them. Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Delaware, Hawaii, Idaho, Iowa, Montana, Nebraska, North Dakota, Rhode Island, South Dakota, and West Virginia, you will not be eligible for employment. Note that all individual roles will specify location eligibility. All candidates can find our Candidate Privacy Statement here Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection This role may require occasional travel for company events, team collaboration, or offsites.