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You will be updated with latest job alerts via email7 years of relevant Fraud Analytics experience at one or more Financial Services firms or
Professional Services / Risk Advisory with significant exposure to one or more of the
following areas:
Banking Fraud Payment Fraud Credit Card Fraud Retail
Fraud Anti Money Laundering Financial Crime Telecom
Fraud Energy Fraud Insurance Claims Fraud etc.
Advanced skills in development and validation of fraud analytics models strategies
visualizations.
Understanding of new/ evolving methodologies/tools/technologies in the Fraud
management space.
Expertise in one or more domain/industry including regulations frameworks etc.•
Experience in building models using AI/ML methodologies•
Modeling: Experience in one or more of analytical tools such as SAS R Python SQL etc.
Knowledge of data processes ETL and tools/ vendor products such as VISA AA FICO
Falcon EWS RSA IBM Trusteer SAS AML Quantexa Ripjar Actimize etc.
Proven experience in one of data engineering data governance data science roles•
Experience in Generative AI or Central / Supervisory banking is a plus.•
Strong conceptual knowledge and practical experience in the Development
Validation and Deployment of ML/AL models
Handson programming experience with any of the analytics tools and visualization tools
(Python R PySpark SAS SQL PowerBI/ Tableau)
Knowledge of big data ML ops and cloud platforms (Azure/GCP/AWS)•
Strong written and oral communication skills•
Project management skills and the ability to manage multiple tasks concurrently•
Strong delivery experience of short and long term analytics projects
Full Time