21 Mar
ANZ GRINDLAYS BANK
Australia
This role provides an opportunity to join the Fraud Analytics team working together with stakeholders across the business to protect our customers against fraud and minimize ANZs fraud losses. The successful candidate is expected to use analytical techniques to utilize internal and external data/indicators to identify compromises and fraud trends and come up with prevention and detection strategies to mitigate the risk and exposure. The role involves liaising with internal teams and the broader fraud community comprising of representatives from other banks, schemes, external vendors and government bodies.
The role also involves ensuring timely and accurate reporting of fraud losses and metrics to business stakeholders and providing insights on the same. Knowledge of Fraud, strong analytical skills and a background in data mining/working with multiple sources of data are key attributes to succeed in this role. About You To be successful in this role, will ideally bring the following Understanding of retail & commercial bank products, payment channels / types & associated fraud risk Experience in working in the Fraud / Digital security area. Or demonstrated close coordination with Fraud teams Ability to manage multiple priorities and support quick decision making Experience with Data mining and Analysis of large datasets & reporting Demonstrated ability to work collaboratively with internal & external stakeholders and peers Experience with using SAS/SQL in prior / current role
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