Senior Analyst, Fraud Intelligence
New
J
JobgetherFraud analytics
Must be located within the continental United StatesFull-TimeSenior
SalaryAnnual base salary: $125,000–$145,000.
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Job Details
- Experience
- At least 3 years of hands-on experience in fraud analytics, ideally within e-commerce or retail.
- Required Skills
- PythonSQLNumpyPandasData modelingscikit-learn
Requirements
- At least 3 years of hands-on experience in fraud analytics, ideally within e-commerce or retail.
- Bachelor’s degree or higher in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, or Physics.
- Strong understanding of data science and analytics fundamentals, including statistical analysis, modeling, and data wrangling.
- Proficiency in SQL.
- Practical experience with Python data analysis libraries such as pandas, NumPy, and scikit-learn.
- Strong analytical judgment and business acumen, including the ability to identify patterns in complex datasets and develop actionable insights.
- Experience evaluating or tuning automated decision-making systems, including LLM-based or rules-based solutions, is a plus.
- Experience in a startup or high-growth environment is preferred.
- Must be located within the continental United States.
Responsibilities
- Analyze behavioral, transactional, and customer interaction data to identify signals associated with fraud and abuse.
- Investigate fraud patterns, test hypotheses, and translate findings into actionable recommendations.
- Build monitoring frameworks, dashboards, and mitigation solutions with cross-functional teams.
- Evaluate AI-powered fraud review agents, including the quality of case summaries and the accuracy of recommended decisions.
- Translate evaluation findings into improvements to prompts, rules, and workflows for automated fraud review.
- Partner with Machine Learning teams to recommend model features and provide feedback on model scoring using investigation outcomes.
- Participate in design and code reviews, promote analytical best practices, and mentor junior analysts in SQL and data analysis.
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