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Senior Analyst, Fraud Intelligence

1 hour, 37 minutes ago
United States
Full-time
Mid Level
Data Analyst
Data Science and Analytics
E-commerce NumPy Pandas Python Scikit-learn SQL
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Extend

Extend

Extend is a technology company that offers powerful product and shipping protection solutions to merchants, helping them generate revenue and enhance customer loyalty. Their modern and cost-effective services provide a win-win situation for both busine...

Air Freight & Logistics
251-1K
Founded 2019
View All Jobs 6

Description

  • Analyze large-scale behavioral, transactional, and interaction data to identify signals of fraud and abuse.
  • Apply business acumen to uncover actionable insights, validate hypotheses, and evaluate fraud patterns.
  • Influence business cases and pricing strategies, and contribute to proof-of-concept initiatives with prospective merchants.
  • Develop monitoring frameworks, dashboards, and mitigation solutions in response to emerging fraud threats.
  • Collaborate with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute fraud strategies.
  • Shape new fraud prevention product features and analytics capabilities from the ground up.
  • Develop go-to-market strategies based on analysis and fraud intelligence findings.
  • Champion continuous learning, experimentation, and collaboration across fraud and data science teams.

Requirements

  • 3+ years of experience in fraud analytics, ideally in an e-commerce or retail environment.
  • Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics, or a related field.
  • Strong grasp of core data science and analytics concepts, including statistical analysis, modeling, and data wrangling.
  • Proficiency in SQL and experience with Python, including pandas, NumPy, or scikit-learn.
  • Exceptional communication and stakeholder management skills with a proven ability to work cross-functionally and influence outcomes.
  • High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior and fraud patterns.
  • Hands-on, proactive, and analytical mindset with a passion for solving complex real-world problems using data.
  • Prior experience in a startup or high-growth environment is preferred.
  • Candidates must be located within the continental United States.

Benefits

  • Competitive salary of $135,000 - $165,000 per year.
  • Full medical, dental, and vision benefits.
  • Stock/equity in an early-stage startup.
  • Generous, flexible paid time off policy.
  • 401(k) plan with Financial Guidance from Morgan Stanley.
  • Collaborative and supportive team environment.

Interested in this position?

Apply directly on the company website

Apply Now

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