
Senior Analyst, Fraud Intelligence
Extend
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $135,000 - $165,000 per year
Job Level
Senior
Tech Stack
NumpyPandasPythonScikit-LearnSQL
About the role
- Analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse
- Apply strong business acumen to rapidly identify actionable insights, analyze fraud patterns, and validate hypotheses
- Influence business cases and pricing strategies, and contribute to proof-of-concept initiatives with prospective merchants
- Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams
- Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies
- Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams
Requirements
- 3+ years of experience in fraud analytics, ideally within an e-commerce or retail environment
- Prior experience in a startup or high-growth environment is preferred
- Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics or related field
- Strong grasp of core data science and analytics concepts, including statistical analysis, modeling, and data wrangling
- Proficiency in SQL and experience in Python (pandas, NumPy, scikit-learn, etc.)
- 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
- Empathetic, humble, and collaborative team player
- Candidates must be located within the continental United States.
Benefits
- Competitive salary based on experience, with full medical and dental & vision benefits.
- Stock in an early-stage startup growing quickly.
- Generous, flexible paid time off policy.
- 401(k) with Financial Guidance from Morgan Stanley.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
fraud analyticsstatistical analysismodelingdata wranglingSQLPythonpandasNumPyscikit-learn
Soft skills
communicationstakeholder managementcross-functional collaborationattention to detailintellectual curiosityempathyhumilityteam player