Staff Data Scientist, Algorithm (Risk Product – AML & Financial Crime)
Core
Technical leader advancing AI-powered risk detection to proactively identify and mitigate financial crime risks (AML, fraud, sanctions) using customer, transaction, and network data.
Role type
Staff Data Scientist (Risk Product)
Builds
Production-grade AI risk controls, name screening, entity resolution, and network intelligence systems.
Domain
Fintech / Financial Crime / AML
Deliverable
production ML models
Required skills
Applied machine learning, AI/LLMs, NLP, graph/network analytics, anomaly detection, risk scoring, SQL, Python
Preferred skills
Fintech/payments domain experience, AML/sanctions/PEP screening, proactive risk discovery, graph analytics for mule networks, LLM evaluation
Technologies
Python, SQL, LLMs, Graph databases, Network analytics frameworks
Responsibilities
Lead Data Science strategy for AML and Financial Crime risk controls; Develop proactive risk detection for emerging threats; Scale advanced capabilities in AI screening and network intelligence; Partner with Engineering and Compliance to build production controls; Influence roadmap and mentor team.
Seniority
Staff, technical leadership & hands-on IC
