Manager, FC&FO Data & Analytics (Fraud)
Core
Lead a team of analytics and detection specialists to design, develop, and optimize fraud and scam detection strategies, leveraging advanced technology and data science to identify emerging threats and reduce financial losses.
Role type
Manager, Financial Crime & Fraud Analytics (People Leader)
Builds
Fraud detection rules, behavioral biometrics strategies, risk scores, and detection models for banking and payment channels.
Domain
Banking / Financial Crime / Fraud Detection
Deliverable
production ML models
Required skills
Detection strategy and rule development, Fraud trend analysis, Behavioral biometrics, Device intelligence, Model-driven detection, Stakeholder engagement, SQL, Python, Power BI
Preferred skills
Machine learning model development, Australian Scams Prevention Framework (SPF) knowledge, Experience with third-party risk scores
Technologies
SQL, Python, Power BI, Behavioral biometrics, Device intelligence
Responsibilities
Design, test, implement, and optimize fraud detection rules across banking channels; Analyze fraud trends, typologies, and false positives to improve detection effectiveness; Partner with data science teams on model development and implementation; Collaborate with Operations, Technology, and Risk teams to enhance detection capabilities; Identify detection control gaps for SPF readiness.
Seniority
Manager, hands-on IC with team leadership
