Senior Manager Data Science – Fraud Analytics
Core
Designing and delivering advanced data science models to detect and prevent application fraud and financial crime for business banking customers.
Role type
Senior Manager, hands-on IC with leadership responsibilities
Builds
Predictive models for fraud detection, case prioritization, and credit assurance
Domain
Financial services / Fraud analytics / Credit risk
Deliverable
production ML models
Required skills
Python, statistical modelling, machine learning, optimisation techniques, data visualisation, risk/fraud/credit decisioning frameworks
Preferred skills
Experience with large datasets, scalable analytical solutions, cross-functional collaboration
Technologies
Python
Responsibilities
Design and deliver advanced data science models to detect and prevent application fraud; Build and optimise models that identify high-risk behaviour and improve case prioritisation; Translate complex data insights into practical, business-ready solutions for stakeholders; Guide analytical thinking and shape the future direction of fraud prevention modelling.
Seniority
Senior, hands-on IC with mentorship
