Job Description
Senior Data Scientist , Fraud & Financial Crime n
Financial Services Institution
The Chance n
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.
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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 n
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Lead integrated use cases across transaction, customer, account and network data, translating financial-crime typologies into testable hypotheses, features, graph patterns and alerts
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Select fit-for-purpose methods from rules through classical ML to deep learning and graph techniques and establishing credible baselines
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Own evaluation for rare, adaptive and weakly-labelled events, addressing temporal leakage,



selection bias and class imbalance through rigorous back-testing and sensitivity analysis
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Partner directly with financial-crime leadership, investigators, engineers and assurance teams
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What You'll Bring n
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Advanced practical expertise in statistics, ML and rare-event evaluation, backed by solid Python and SQL
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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
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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
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Practical understanding of AML/CTF obligations, Model Risk and Responsible AI frameworks
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📌 Senior Data Scientist, Fraud & Financial Crime Melbourne
🏢 Bluefin Resources Pty
📍 Melbourne