We’re looking for a hands-on Lead Data Scientist to help shape the future of AI-driven anti-financial crime technology. In this player-coach role, you’ll work alongside the Chief Data Scientist, building scalable, production-ready machine learning models that detect money laundering and fraud. This is an opportunity to make real-world impact in a mission-critical domain, while mentoring a high-caliber team and engaging directly with customers.

What You’ll Do

• Design, develop, and deploy ML models—especially anomaly detection—to identify suspicious financial activity
• Lead AI model governance, ensuring models are interpretable, scalable, and reliable
• Collaborate with engineering, product, and business teams to integrate models into our platform
• Use customer feedback and domain insights to refine models and data pipelines
• Apply MLOps best practices to ensure robust deployment, monitoring, and retraining strategies
• Stay current on AI advancements and financial crime tactics to inform innovation
• Mentor junior data scientists while remaining deeply involved in model development

What You Bring

• 5+ years of experience in data science and machine learning, with deployed models in production
• Strong proficiency in Python, ML frameworks like PyTorch, TensorFlow, or Keras
• Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS preferred)
• Solid knowledge of SQL and data wrangling techniques
• Background in anomaly detection—especially for financial crime—is a major plus
• Experience with MLOps (MLflow or similar), model monitoring, and retraining workflows
• Bonus: familiarity with C++ and full-stack AI deployment
• Strong communication skills with the ability to translate technical work into business impact
• A structured, strategic thinker with a deep curiosity for how financial crimes operate
• Master’s or PhD in a technical field (Computer Science, Math, Statistics, etc.) preferred

Who You Are

• A full-cycle data scientist—capable of both building and deploying ML solutions
• A proactive leader who mentors while staying hands-on
• Someone excited by tough problems, eager to learn, and driven by meaningful impact