Data Scientist - Fraud SME

💼 Job Title: Data Scientist – Fraud SME 💰 Industry: FinTech / Fraud Analytics 📍 Location: New York City 🔍 We are partnering with a global fintech organization in their search for a Data Scientist with deep fraud domain expertise. This is a strategic hire focused on elevating fraud detection capabilities through advanced machine learning and domain-specific intelligence. You will be instrumental in building models that stop fraud in its tracks and shaping the company’s end-to-end fraud strategy. 🧾 Responsibilities: • Design, build, and deploy machine learning models for real-time fraud detection and prevention • Analyze large-scale transactional and behavioral datasets to uncover patterns and anomalies • Develop and optimize fraud detection algorithms using both supervised and unsupervised learning • Continuously monitor and refine decision systems to reduce false positives and stay ahead of fraud trends 🧾 What We’re Looking For: • 5+ years of experience in fraud analytics or fraud-focused data science within fintech, payments, or financial services • Demonstrated success building ML models for fraud detection and prevention • Proficiency in Python and key ML libraries (e.g., scikit-learn, XGBoost, TensorFlow) • Strong SQL skills and experience analyzing high-volume datasets • Familiarity with real-time fraud scoring systems and decision engines • Exposure to cloud-based ML platforms (AWS, GCP, or Azure) • Experience contributing to fraud strategy and architecture in regulated environments