Senior Manager - Fraud Analytics
Core
Shape advanced fraud analytics solutions to protect Business Banking customers by solving complex application fraud challenges using large-scale data, statistical modelling, 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, large-scale data analysis, feature engineering, model optimisation, experimentation, fraud detection approaches, data visualisation, Python programming
Preferred skills
Snowflake experience, financial crime analytics, credit risk frameworks, decisioning frameworks
Responsibilities
Develop and enhance analytical models and strategies for detecting application fraud; Analyse large-scale datasets to identify emerging fraud trends, risks and opportunities; Deliver insights that support fraud prevention, detection and investigation outcomes; Translate complex analytical findings into clear, commercially grounded recommendations; Partner across business, risk, technology, operations and data science teams to solve complex problems; Provide technical leadership and subject matter expertise across the fraud analytics domain
Seniority
Senior, hands-on specialist with substantial experience
