Senior Analyst, Fraud Intelligence

Summary

For our client, we are seeking a Senior Analyst, Fraud Intelligence to join the team of a leader in the Information Technology space.This role will focus on uncovering fraud and abuse patterns across large-scale data environments and turning those findings into practical mitigation strategies. You will partner closely with machine learning, operations, and cross-functional stakeholders to strengthen decisioning workflows and improve risk controls. The position blends hands-on data analysis with strategic input on model features, monitoring frameworks, and review processes. It is a strong fit for a data-driven analyst who can translate complex signals into clear actions that protect the business.Location: RemoteCompensation: $125,000 – $145,000 annuallyResponsibilitiesAnalyze large-scale data to identify fraud and abuse signalsRapidly identify actionable insights and analyze fraud patternsDevelop monitoring frameworks and mitigation solutions for emerging fraud threatsEvaluate AI review agent case summaries and improve workflows based on findingsCollaborate with the Machine Learning team to recommend model featuresParticipate in design and code reviews, mentoring junior analystsQualifications3+ years of experience in fraud analytics, preferably in e-commerce or retailBachelor's degree in a quantitative field such as Mathematics, Statistics, or Computer ScienceStrong understanding of data science concepts, including statistical analysis and modelingProficiency in SQL and experience with Python libraries such as pandas, NumPy, and scikit-learnExceptional communication skills with a proven ability to influence cross-functional teamsExperience with automated decisioning systems is a plusHigh attention to detail and strong intellectual curiosityBenefitsCollaborative and supportive team environmentFull medical, dental, and vision benefitsStock options in a rapidly growing startupGenerous and flexible paid time off policy401(k) plan with financial guidance from Morgan StanleyOur client is an equal opportunity employer. We encourage you to apply even if you don't meet every qualification—your background could be exactly what this team needs.#J-18808-Ljbffr

Job Description

For our client, we are seeking a Senior Analyst, Fraud Intelligence to join the team of a leader in the Information Technology space.This role will focus on uncovering fraud and abuse patterns across large-scale data environments and turning those findings into practical mitigation strategies. You will partner closely with machine learning, operations, and cross-functional stakeholders to strengthen decisioning workflows and improve risk controls. The position blends hands-on data analysis with strategic input on model features, monitoring frameworks, and review processes. It is a strong fit for a data-driven analyst who can translate complex signals into clear actions that protect the business.Location: RemoteCompensation: $125,000 – $145,000 annuallyResponsibilitiesAnalyze large-scale data to identify fraud and abuse signalsRapidly identify actionable insights and analyze fraud patternsDevelop monitoring frameworks and mitigation solutions for emerging fraud threatsEvaluate AI review agent case summaries and improve workflows based on findingsCollaborate with the Machine Learning team to recommend model featuresParticipate in design and code reviews, mentoring junior analystsQualifications3+ years of experience in fraud analytics, preferably in e-commerce or retailBachelor's degree in a quantitative field such as Mathematics, Statistics, or Computer ScienceStrong understanding of data science concepts, including statistical analysis and modelingProficiency in SQL and experience with Python libraries such as pandas, NumPy, and scikit-learnExceptional communication skills with a proven ability to influence cross-functional teamsExperience with automated decisioning systems is a plusHigh attention to detail and strong intellectual curiosityBenefitsCollaborative and supportive team environmentFull medical, dental, and vision benefitsStock options in a rapidly growing startupGenerous and flexible paid time off policy401(k) plan with financial guidance from Morgan StanleyOur client is an equal opportunity employer. We encourage you to apply even if you don't meet every qualification—your background could be exactly what this team needs.#J-18808-Ljbffr