Lead Data Scientist , Fraud Financial Crime Financial Services Institution The Chance A leading financial institution is seeking a Lead Data Scientist to act as senior technical authority for fraud and financial-crime data science.
This is a lead individual-contributor and technical leadership role where you'll set the direction across a portfolio of detection, monitoring and investigation capabilities.
The portfolio spans transaction monitoring, suspicious matter investigations, scams, AML/CTF, entity resolution, typology and network analysis, anomaly detection, NLP, Generative AI, neural networks and GNNs.
What You'll Be Doing Define and maintain the domain data science roadmap, anticipating shifts in criminal behaviour, regulation, data and technology, and turning them into evidence-based priorities Establish reference approaches and common standards across rules, statistical detection, classical ML, graph analytics, GNNs, NLP and GenAI Resolve consequential choices on entity resolution, graph construction, temporal validation, thresholds and human decision rights; sponsor dynamic graphs, embeddings and hybrid rules-plus-ML systems Set direction for GenAI and agentic applications Review high-risk models, graphs, prompts and decision policies before material release; set enterprise standards for leakage prevention, calibration and rare-event metrics Lead Responsible AI, Model Risk, AML/CTF and audit assurance as senior technical counterpart to legal,



compliance and second-line partners Partner with financial-crime leadership and senior stakeholders on portfolio-level investment options, explaining uncertainty and trade-offs at the roadmap level What You'll Bring Deep, sustained expertise in advanced analytics, statistics and ML, with a track record of technical leadership across multiple production use cases Advanced depth in at least one fraud/financial-crime specialism, with advanced breadth across several others (anomaly detection, graph/GNNs, entity resolution, NLP/GenAI, or human-in-the-loop decision design) Expert command of rare-event evaluation, temporal validation, calibration and champion–challenger testing, Extensive experience leading fraud/financial-crime solutions or portfolios in a large, complex, regulated organisation at a scale Advanced understanding of Responsible AI, Model Risk, AML/CTF and AUSTRAC expectations, with demonstrated capability representing the organisation to external regulators A record of influencing senior business, technology and risk stakeholders on material portfolio decisions , defining roadmaps and prioritising competing investments against measurable outcomes Why Apply This is a rare opportunity to shape enterprise-wide direction for fraud and financial-crime data science, owning analytical strategy and model assurance across a major regulated portfolio, while building lasting technical capability .
Please apply on line below, or for more information contact Marie Thow at ****** Consultant ****** Reference number: BH-***** Profession:Data AnalyticsManagement / Executive Company: Bluefin Resources Date posted: 10th Sep, ****

📌 Lead Data Scientist, Fraud & Financial Crime (Melbourne)
🏢 Bluefin Resources
📍 Melbourne