Lead Data Scientist, Fraud

Provenir

2d•Remote

About The Position

Provenir is a global fintech company seeking a Lead Data Scientist to own fraud detection strategy for their profiling engine. This is a new function where you will be the starting point, partnering directly with customers to understand their fraud problems, develop detection approaches, and translate findings into production-ready requirements for the engineering team. You will be the fraud expert in every room, leveraging data science as your toolkit to build and shape fraud detection models and logic.

Requirements

Built fraud detection models in production.
Knowledge of synthetic identity fraud in data.
Experience with imbalanced datasets, messy labels, and adversarial patterns.
Experience managing the false positive problem and its commercial implications.
Deep knowledge of fraud typologies (synthetic identities, first-party fraud, fraud rings, mule accounts).
Proven track record deploying fraud models into production environments.
Strong Python and ML framework experience.
Solid understanding of MLOps (deployment, monitoring, challenger models, performance decay).
Experience working with real-world fraud data and messy identity information.
Comfortable being the fraud authority in the room without a predefined playbook.

Responsibilities

Own fraud detection strategy for the profiling engine.
Develop fraud detection models.
Shape fraud detection logic.
Work directly with clients to understand their fraud problems and translate them into solutions.
Sit in front of risk teams at financial services organizations, understand their data, and run iterative model development.
Hand over production-ready specifications to the engineering team.
Lead the team by analyzing data, understanding patterns, and directing the team on what to build and why.