Data Scientist
Core
Customer-facing Data Scientist tuning AML and fraud detection models for live bank and payment provider accounts.
Role type
Senior Customer Data Scientist (Financial Crime)
Builds
Tuned detection models and threshold configurations for customer transaction monitoring systems
Domain
Financial Services / Anti-Money Laundering (AML) / Fraud Detection
Deliverable
production ML models
Required skills
AML and fraud detection domain expertise, model tuning and threshold optimization, deep analytical investigation of detection performance, regulatory defensibility, business value translation, ambiguity management, production system validation
Preferred skills
Transaction monitoring experience, payments fraud detection, explainable AI, rules-based hybrid detection
Technologies
Python, SQL, ML tooling
Responsibilities
Tune and optimize detection models against live customer transaction data, investigate detection performance and alert quality, translate technical findings into customer-facing insights, present findings and defend methodology to customer stakeholders, partner on account strategy, feed patterns back to central product functions, ensure regulatory defensibility of tuning decisions, validate model changes via backtesting and sample review