Senior Analyst, Fraud Intelligence

Accountabilities • Analyze large-scale behavioral, transactional, and customer interaction data to identify signals associated with fraud and abuse.

• Apply business judgment and analytical methods to investigate fraud patterns, test hypotheses, and translate findings into actionable recommendations.

• Respond to emerging fraud threats by building monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams.

• Assess the performance of AI-powered fraud review agents, evaluating the quality of case summaries and the accuracy of recommended decisions.

• Translate evaluation findings into improvements to prompts, rules, and workflows to enhance automated fraud review.

• Partner with Machine Learning teams to recommend model features based on observed fraud patterns 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.

Requirements

• At least 3 years of hands-on experience in fraud analytics, ideally within e-commerce or retail.

• A bachelor’s degree or higher in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics, or a related field.

• Strong understanding of data science and analytics fundamentals, including statistical analysis, modeling, and data wrangling.

• Proficiency in SQL and practical experience with Python data analysis libraries, such as pandas, NumPy, and scikit-learn.

• Strong analytical judgment and business acumen, with the ability to identify meaningful 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.

• Excellent communication and stakeholder management skills, with the ability to collaborate across teams and influence decisions.

• High attention to detail, intellectual curiosity, and a strong understanding of user behavior and fraud patterns.

• A proactive, hands-on approach and a collaborative, empathetic, and humble working style.

• Must be located within the continental United States and authorized to meet the role’s employment requirements. Immigration-related sponsorship is not available for this position.

Benefits

• Annual base salary: $125,000–$145,000. The final offer depends on job-related knowledge, skills, experience, and other relevant factors.

• Full medical, dental, and vision benefits.

• Equity in an early-stage, fast-growing company.

• Generous and flexible paid time off.

• A 401(k) plan with financial guidance from Morgan Stanley.

• A collaborative and supportive team environment with colleagues from diverse backgrounds.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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