Fraud Analytics Director

Lead AI-driven fraud detection to enhance real-time risk monitoring.
Design and refine fraud prevention frameworks using machine learning and Python-based analytics.

Location - Sydney CBD - 3-4 days in the office, so need to be based in and around Sydney.

Are you an expert in fraud analytics looking to make a real impact in a fast-paced fintech environment?

My client is a rapidly growing global Fintech with HO in the US, and are seeking a Fraud Analytics Director to design and implement cutting-edge fraud risk management strategies for their business. This is a high-impact role where you will leverage data analytics, AI-driven risk models, and real-time transaction monitoring to protect the business and customers from financial crime.

Reporting into a seasoned Exec Director, you will drive data-led decision-making, optimise fraud detection frameworks, and collaborate with cross-functional teams to mitigate emerging threats. If you have a track record of delivering fraud solutions that balance risk mitigation with commercial success, we want to hear from you!

What You’ll Do

• Lead fraud analytics efforts, using AI and machine learning to develop predictive fraud models and enhance real-time detection.
• Design and optimise fraud risk assessment frameworks, leveraging data science and behavioural analytics.
• Analyse large datasets to identify fraud patterns, anomalies, and emerging risks, implementing data-driven countermeasures.
• Continuously refine fraud detection tools, including real-time scoring models, anomaly detection techniques, and risk-based decisioning frameworks.
• Develop fraud event playbooks, ensuring proactive detection and response strategies for various fraud scenarios.
• Investigate fraud incidents, taking a data-led approach to mitigation and recovery efforts.
• Provide insights to senior leadership, influencing company-wide fraud prevention initiatives.

What You’ll Need

• Bachelor's degree in a relevant field (e.g., Economics, Data Science, Analytics,Mathematics or Statistics).
• 8+ experience of practical and hand's on experience in fraud analytics, financial crime prevention, and risk management within banking, fintech or financial services.
• Strong expertise in AI-driven fraud detection, machine learning models, and Python-based analytics.
• Hands-on experience with real-time fraud decisioning platforms and risk-scoring methodologies.
• Deep understanding of fraud trends, scam tactics, and emerging financial crime risks.
• Proven ability to develop and refine fraud detection algorithms, leveraging big data and advanced analytics.
• Strong commercial acumen, balancing fraud prevention with business growth objectives.
• Exceptional leadership, problem-solving, and communication skills.

This is a great opportunity to work with a market-leading Fintech that offers excellent training and development to support continuous learning and careers opportunities.

Please apply on-line or for more information please contact Kausty Mahajan at Bluefin Resources on 02 9270 2603.