Senior Data Scientist , Fraud & Financial Crime

Financial Services Institution

The Chance

A leading financial institution is seeking a Senior Data Scientist, working on complex, high-impact fraud and financial-crime data science initiatives. You'll take ambiguous problems through to real operational adoption.

Your remit will span transaction monitoring, suspicious matter investigations, scams, AML/CTF, entity resolution, typology discovery and network analysis, combining statistical rigor with anomaly detection, NLP, Generative AI and graph analytics.

What You'll Be Doing
Lead integrated use cases across transaction, customer, account and network data, translating financial-crime typologies into testable hypotheses, features, graph patterns and alerts
Select fit-for-purpose methods from rules through classical ML to deep learning and graph techniques and establishing credible baselines
Own evaluation for rare, adaptive and weakly-labelled events, addressing temporal leakage,



selection bias and class imbalance through rigorous back-testing and sensitivity analysis
Partner directly with financial-crime leadership, investigators, engineers and assurance teams

What You'll Bring
Advanced practical expertise in statistics, ML and rare-event evaluation, backed by robust Python and SQL
Advanced depth in at least two of: anomaly/behavioural detection; graph analytics/network science/GNNs; entity resolution; NLP/GenAI; neural networks for sequence or representation learning
A track record of independently delivering complex analytical solutions into live operational use, ideally within fraud, financial crime, or a comparably regulated, large-scale setting
Practical understanding of AML/CTF obligations, Model Risk and Responsible AI frameworks
J-18808-Ljbffr

📌 Senior Data Scientist, Fraud & Financial Crime Melbourne
🏢 Bluefin Resources
📍 Melbourne