About the job

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 conducting complex data analysis to identify & mitigate large scale distributed fraud attacks, working closely with fraud strategy/detection/data science to implement mitigations, and working collaboratively with fraud stakeholders to expand automated detection of fraudulent merchants. They should have a deep understanding of fraud patterns/typologies, advanced SQL proficiency, and strong analytical abilities.

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/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 merchant and transaction fraud attacks.

The right candidate for this role will have a minimum of three years experience conducting complex data analysis using SQL, preferably within the fraud space across ecommerce or payments. Candidates should also have experience working closely with engineering and data science teams to drive automated fraud detection and demonstrate a deep understanding of fraud typologies, controls, and ability to mitigate fraud risk.

Responsibilities

Conduct advanced data analysis of structured and unstructured data sets to proactively identify emerging complex fraud attacks impacting Stripe and its users.Investigate, conduct root cause analysis, and deploy remediations to prevent future complex and distributed fraud attacks encompassing merchant fraud, transaction fraud, card testing, and local payment methods. Investigate and take action against anomalous clusters of merchants based on account activity, processing volume, or other risk indicators while minimizing negative impacts to Stripe users.Work in lockstep with engineering and data science teams to enhance automated detection and actioning of fraudulent accounts to minimize risks to Stripe and partner ecosystems.Respond to high priority incidents involving complex fraud schemes to quickly mitigate exposure to Stripe, its users, and financial partners.Utilize analytics to identify & implement initiatives to automate manual processes and workload across the organization.Create visualizations, dashboards, and queries to drive visibility and oversight into organization impact, performance, and loss risks.Utilize Stripe tools & 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 three years of experience conducting advanced data analysis.Advanced level proficiency in SQLExperience working closely with modeling, data science, and intelligence stakeholders to implement automatic & scaled controls & processes.Experience creating data visualizations and dashboards & presenting findings to technical and non-technical audiences, including senior leadership.You have 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 & solutions oriented.


Preferred Qualifications

Fraud experience in payments, e-commerce, or fintechs mitigating digital/card-not-present fraudExperience investigating and mitigating card testing and account takeover attacksExperience designing fraud/risk workflows, analyst tooling, and processes/procedural workflowsProficiency in Splunk, Python, and data visualization tools.Advanced data analysis in the fraud and risk space, preferably in payments, fintech, or banking.Undergraduate or advanced degree in analytics, data science, or statisticsExperience with clustering, classification, & link analysisExperience working in fast-paced and rapidly changing environments


Hybrid work at Stripe

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.

Pay and benefits

The annual salary range for this role in the primary location is €54,800 - €102,000. This range may change if you are hired in another location. 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 specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.