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Fraud Analyst

AustraliaAustralia·Nswmid
Fraud AnalystData & AI
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Quick Summary

Requirements Summary

Special offers on b

Technical Tools
Fraud AnalystData & AI

Join our Fraud Prevention team and play a key role in helping protect our customers, our business and our reputation from fraud.

  • Grow your career in a supportive team where your work has real impact across Fraud Prevention.
  • Help shape and strengthen fraud detection strategies that protect customers and the bank from evolving fraud & scam threats.
  • Partner with industry experts and business stakeholders to influence how we detect and respond to emerging fraud risks.

As a Fraud Analyst, you'll support the wider Fraud Prevention business in managing fraud & scam by monitoring, implementing and recalibrating detection strategies that help mitigate ongoing risk and financial loss.

You'll play an important part of ensuring fraud controls are effective while minimising impacts on customer experience, product profitability and brand reputation.

Using data and analytics, you'll analyse and interrogate data to support fraud detection, identify emerging trends, implement and recalibrate detection scenarios, and develop meaningful insights into key trends and anomalies.

Your work will help strengthen our fraud detection capabilities, support informed decision making and responding to an ever-changing fraud & scam landscape.

You'll bring technical and analytical capabilities, using data to solve complex business problems. Pairing this with a strong mathematical background and real-world problem-solving skills, you will be interrogating large datasets to uncover insights, identify emerging fraud trends and recommend improvements to detection strategies. 

You'll have experience translating data into meaningful actions and building strong working relationships with stakeholders across different teams. 

  • Strong analytical and problem-solving skills, with the ability to identify patterns, trends and anomalies.
  • High attention to detail and a continuous improvement mindset.
  • Experience with a programming language used to interrogate large data sets and/or fit statistical models such as SQL, SAS, Python, R.
  • Ability to engage with and communicate with a broad range of stakeholders.
  • Tertiary qualification in relevant disciplines such as Mathematics, Statistics, Computer Science or Engineering is desirable.
  • A keen and curious mind, and a willingness to learn.

What We Offer

~1 min read

We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that:

✓Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates!
✓Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave.
✓Tailored learning and development opportunities to help your grow your career within the bank.
✓Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives.

To get started, simply click on the APPLY or APPLY NOW button

We’re all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community.

If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website.

Location & Eligibility

Where is the job
Nsw, Australia
On-site at the office
Who can apply
AU

About this job

Who can apply
Australia
Posted
Today
Employer
has 432 open jobs on Jobera in 4 countries.

Listing Details

Posted
October 30, 2026
First seen
October 30, 2026
Last seen
October 30, 2026

Posting Health

Days active
0
Repost count
1
Trust Level
49%
Scored at
October 30, 2026

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Fraud Analyst