CareerPlan

Senior Manager - Fraud Analytics

Sydney, New South WalesFull-time2026-10-29 → 2026-11-11
Hybrid

Core

Shape advanced fraud analytics solutions and influence strategy to protect Business Banking customers from application fraud using large-scale data and machine learning.

Role type

Senior Manager, hands-on specialist in fraud analytics

Builds

Scalable analytical solutions for fraud detection and prevention in Business Banking

Domain

Financial services / Fraud analytics / Risk modelling

Deliverable

production ML models

Required skills

Statistical modelling, machine learning, feature engineering, model optimisation, large-scale data analysis, fraud detection approaches, data visualisation, hypothesis testing, Python programming, Snowflake

Preferred skills

Financial crime analytics, credit risk, decisioning frameworks

Responsibilities

Develop and enhance analytical models for detecting application fraud; Analyse large-scale datasets to identify emerging fraud trends; Deliver insights supporting fraud prevention and investigation; Translate analytical findings into commercial recommendations; Partner across business, risk, technology, and operations teams; Apply experimentation and performance monitoring techniques; Provide technical leadership in the fraud analytics domain