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ALOIS Solutions

Fraud Data Science Lead

ALOIS Solutions, Dallas, Texas, United States, 75215

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1 day ago Be among the first 25 applicants Direct message the job poster from ALOIS Solutions Analytics Enthusiast # Hiring for "Full Time & Contract roles all across USA & Canada

What You’ll Do Architect and lead fraud prevention strategies across financial products (e.g., onboarding, ATO, payments). Design and optimize detection logic using platforms like

ThreatMetrix , ensuring high fraud capture with minimal customer friction. Perform deep analytics and uncover emerging fraud patterns in structured and unstructured data. Monitor fraud KPIs such as detection rate, false positives, and loss capture to inform strategic pivots. Collaborate cross-functionally with Product, Engineering, Risk, and Compliance to operationalize insights. Lead incident reviews and present strategic recommendations to senior stakeholders. Stay ahead of the curve by tracking fraud trends and regulatory shifts. What You Bring 7+ years in fraud strategy, analytics, or data science—preferably in

retail banking or card products . Expert-level proficiency in

SQL and Python ; familiarity with tools like

Hive, Spark, AWS SageMaker . Strong experience in fraud detection platforms ( LexisNexis, Actimize , etc.), especially

ThreatMetrix . Solid grasp of statistical modeling and predictive analytics. Confident communicator with proven success in cross-functional, client-facing environments. Strategic mindset with hands-on delivery capabilities. Bonus Points: Experience with ML-based fraud modeling. Consulting background in fraud strategy. Familiarity with fraud loss appetite frameworks. Join a team where your insights influence millions, your strategies stop fraud cold, and your leadership pushes the boundaries of risk intelligence. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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