Senior Analyst, Fraud Intelligence
New
E
ExtendFraud analytics
Location: Remote, US; Candidates must be located within the continental United StatesFull-TimeSenior
Salary125,000 - 145,000 USD per year
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Job Details
- Experience
- 3+ years of experience in fraud analytics
- Required Skills
- PythonSQLNumpyPandasscikit-learn
Requirements
- Have 3+ years of experience in fraud analytics, ideally within an e-commerce or retail environment.
- Hold a bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, or Physics.
- Have a strong grasp of data science and analytics concepts, including statistical analysis, modeling, and data wrangling.
- Be proficient in SQL.
- Have experience with Python, including pandas, NumPy, and scikit-learn.
- Experience evaluating or tuning automated decisioning systems, including LLM-based or rules-based systems, is a plus.
- Prior experience in a startup or high-growth environment is preferred.
- Be located within the continental United States.
Responsibilities
- Analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse.
- Identify actionable insights, analyze fraud patterns, and validate hypotheses.
- Develop monitoring frameworks, dashboards, and mitigation solutions to respond to emerging fraud threats.
- Evaluate the quality of Fraud Ops' AI review agent case summaries and the accuracy of its recommended decisions.
- Turn evaluation findings into prompt, rule, and workflow improvements.
- Translate fraud pattern findings into model feature recommendations with the Machine Learning team.
- Provide feedback on model scoring based on investigation outcomes.
- Participate in design and code reviews, and mentor junior analysts on SQL and analysis best practices.
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