The AML IT function sits within the BNP Paribas Corporate & Institutional Banking (CIB) CEFS‑technology ecosystem and provides end‑to‑end technology platform that enables the bank’s anti‑money‑laundering (AML) program. Its core purpose is to translate regulatory and compliance requirements into robust, scalable, and secure IT solutions that detect, investigate, and report suspicious activity across the Group’s global operations.
The AML IT business line is the technology backbone that transforms raw transaction data into actionable AML intelligence, ensuring that BNP Paribas CIB meets its regulatory obligations while maintaining operational resilience and innovation.
Position Purpose
The role centers on creating next‑generation AML capabilities and will be instrumental in protecting the BNPP Group from fraud, money‑laundering, and other financial crimes by using advanced technologies and innovative solutions.
As an AI-ML Engineer, you will design, train and deploy machine learning models that detect money laundering and financial crime.
This position is vital for shaping the core detection capability of the platform. This also involves execution of various AML initiatives, thereby strengthening the organization’s overall risk management.
While direct AML experience is not mandatory, a robust foundation in machine learning, sound engineering practices, and a willingness to learn the financial-crime domain are essential. Familiarity with regulated environments, model governance, or fraud and anomaly detection is an advantage, but we are primarily looking for engineers who can build robust, well-calibrated, production-grade models and reason carefully about their real-world impact. The role will operate within a globally distributed environment.
Direct Responsibilities
Model Development & Evaluation – Design, train, and assess ML models (NNs, GNNs, gradient‑boosted ensembles, unsupervised anomaly detectors) for money‑laundering dete