Senior Data Scientist (Fraud)

Join Enova, a leading fintech company, as a Senior Data Scientist on our Fraud Analytics team. In this role, you will be the quantitative engine of our fraud prevention efforts, developing and enhancing models and pattern-recognition pipelines to detect emerging fraud trends. You will work closely with our Fraud Operations team and conduct ad hoc analysis on large datasets. This is a hybrid role with in-office work required Tuesday through Thursday and remote flexibility on Mondays and Fridays. Enjoy a range of benefits including health insurance, PTO, paid parental leave, and a 401(k) matching program.

• Développer, déployer et surveiller des modèles et des algorithmes de reconnaissance de motifs pour détecter les tendances émergentes de fraude.
• Écrire des programmes personnalisés en Python pour une analyse de données significative et un modélisation prédictive.
• Collaborer étroitement avec les opérations de fraude tout au long du cycle de détection, en rassemblant les données et en surfant sur les modèles suspects.
• Track record of translating analysis into business strategy and communicating with senior stakeholders
• Aspiration to grow into a people leadership role through mentoring teammates, driving team initiatives, and shaping priorities
• Hands-on fraud experience required — fraud analytics, fraud strategy, or risk modeling, ideally in fintech or lending
• Advanced Python and SQL; experience owning models end-to-end — design through deployment and monitoring — on large-scale transactional data
• 4+ years of experience in analytics, applied machine learning, or quantitative modeling