Jobs · Finance · Illinois

Fraud Patterns Analyst

Stripe · Chicago, IL · 2 wk ago
Finance$115k–$172k/yrFull-time

About the role

The Risk Operations team is seeking an experienced fraud analyst to join a global fraud operations team. This role involves writing and maintaining fraud rulesets to prevent transaction fraud, conducting data analysis to identify and mitigate fraud attacks, and collaborating with various teams to implement fraud strategies and controls.

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

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
  • 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
  • An 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

Qualifications

  • Experience with 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
  • An 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

Benefits

  • Annual US base salary range: $114,600 - $171,800
  • Company bonus or sales commissions/bonuses
  • 401(k) plan
  • Medical, dental, and vision benefits
  • Wellness stipends

Pay

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.

Schedule

This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).

Team

Operations

Job type

Full time

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