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Join us as a First Party Lead Fraud Prevention Analyst

We’re looking for someone to lead the analysis, review and development of effective fraud systems, models, and rules performance that drives improved customer outcomes

Day-to-day, you’ll provide your subject matter expertise to support change activity and proactively recommend improvement opportunities to stakeholders

This is your chance to make an important and far-reaching impact through your work, as you build a safe and secure bank that helps our customers to thrive

What you’ll do

Your daily responsibilities will have you playing a vital role in supporting the effective management of fraud prevention through the use of innovative analytics. This includes fraud trend monitoring and analysis to provide good customer outcomes and the mitigation of future loss for our group.

We’ll need you to develop fraud rules and use models and system monitoring to provide the right customer outcomes to mitigate fraud risk. As well as this, you’ll provide analytical support to make sure fraud-related projects are successfully implemented.

In addition, you’ll be:

Adopting and embedding new tools, technologies and methodologies to carry out advanced analytics as part of Agile project teams

Regularly evaluating fraud detection strategies from both a cost and loss benefit perspective while acting as a subject matter expert for the Fraud Prevention Analytics team

Managing analytical projects, including planning, reporting, benefits and stakeholder management to enable our customers to make real-time transactions safely

Leading the development of rule strategies to combat against new fraud risks and deliver against loss forecasts and business appetite reduction

Building the capability of your team through coaching on technical topics, documentation and coding standards

The skills you’ll need

To be successful in this role, you’ll have subject matter expertise in data decision disciplines, including the application of fraud or risk systems and models.

You’ll also need:

Good verbal and written communication skills with the ability to translate complex and statistical techniques into simple and easy to understand concepts

Excellent knowledge of data management practices and principles

To be proficient in the use of advanced analytics, with the ability to write and query coding across SQL, SAS or Python

Great financial services knowledge and the ability to identify and act upon wider business impact risk and opportunities to make connections across key outputs and processes

An understanding of how to engage with a wide range of stakeholders at all levels