Analyst, Fraud Intelligence

2 weeks, 6 days ago
Full-time
Junior
Data Science and Analytics
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

Description

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

Requirements

  • 2+ 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.
  • Prior experience in a startup or high-growth environment preferred.
  • Strong understanding of core data science and analytics concepts, including statistical analysis, modeling, and data wrangling.
  • Proficiency in SQL and experience with Python, including pandas, NumPy, and scikit-learn.
  • Exceptional communication and stakeholder management skills with the 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 approach to solving complex real-world problems.
  • Empathetic, humble, and collaborative team player.
  • Candidates must be located within the continental United States.

Benefits

  • Competitive salary based on experience, with an expected pay range of $110,000 to $135,000 per year.
  • Full medical, dental, and vision benefits.
  • Stock in an early-stage startup that is growing quickly.
  • Generous, flexible paid time off policy.
  • 401(k) plan with Financial Guidance from Morgan Stanley.
  • Collaborative and supportive team environment with diverse backgrounds.

Interested in this position?

Apply directly on the company website

Apply Now

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