Fraud Patterns Analyst

Stripe; Chicago (IL); Hybrid; USD 115,000 - 172,000; Full time

Job summary

Stripe is seeking an experienced Fraud Analyst to join its Risk Operations team, focusing on building and maintaining fraud rulesets, conducting advanced data analyses, and collaborating with product, risk, and operations to mitigate fraud exposure. The role requires deep fraud pattern knowledge, SQL expertise, and a track record of reducing losses while protecting users.

The position offers a hybrid work arrangement in the United States, with a strong emphasis on cross-functional collaboration

Qualifications

• Minimum five years of experience in advanced data analysis and fraud rulesets.
• Advanced-level proficiency in SQL.
• Experience creating data visualizations and dashboards for senior leadership.
• Experience collaborating with product, risk, and operations teams.

Responsibilities

• Build and maintain fraud rulesets to prevent transaction-level fraud.
• Conduct advanced data analysis of structured and unstructured data to identify emerging fraud attacks.
• Collaborate with product, risk, and operations teams to mitigate fraud exposure.
• Investigate root causes and deploy remediations to prevent future attacks.
• Investigate and take action against anomalous clusters of transactions while minimizing negative user impact.
• Respond to incidents involving complex fraud schemes to mitigate exposure.
• Create visualizations, dashboards, and queries to drive visibility and oversight into impact and risk.
• Utilize Stripe tools to enable systematic actioning of fraudulent merchants with high accuracy.

Skills

Advanced SQL

Fraud rulesets

Data analysis

Data visualization

Cross-functional collaboration

Education

Analytics/data science/ statistics degree

Tools

Splunk

Python

Tableau

Job description

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.

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

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.

We look forward to hearing from you.

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.

Please find our California applicant personal information notice here.

The application window will remain open for 100 days after the Job Post is published. However, this opportunity will remain open based on the needs of the business, which may cause the application window to close before or after the 100-day mark.