Address
Form of work- You are driven by a genuine passion for data and analytics exuding a curious and enthusiastic approach to analysis
- We are a cohesive team, harnessing the power of data to refine and bolster our Groups fraud and scam detection
- Together we can protect the financial well-being of our customers and communities
Do work that matters
Within the Chief Data and Analytics Office (CDAO), the Fraud Data Analytics team is at the forefront, managing crucial fraud detection and insights functions. We stand as the cornerstone for Group Fraud Management services (GFMS), unwavering in our commitment to protecting our customer's monetary assets from fraud & financial Losses.
See yourself in our team
We are empowered to take charge of crafting and executing robust detection and prevention initiatives for the group, the fraud analytics team thrives. Leveraging our team's diverse backgrounds, we draw on collective experiences to deliver optimal outcomes. We are committed to shielding customers from financial fraud and scams, our analytics team operates seamlessly on Australia's largest real-time transaction monitoring system, handling millions of transactions daily with precision and expertise
On a day-to-day basis, you will:
- Proactively identify and address potential loopholes with strategic precision
- Extract insights from data, revelling the discovery of emerging fraud trends
- Explore the psychology behind fraudulent and customer behaviour to drive innovation in rules and elevate customer outcomes
- Embrace the purposeful and dynamic nature of fraud analysis and analytics, ensuring each day brings new challenges and opportunities for growth
- Acquire knowledge and intricacies of relevant business units, consistently seeking avenues for continuous improvement together
We are interested in hearing from people who have
- Demonstrated experience working in roles involving data analysis, Insights and Analytics or similar background
- An analytical mindset, showcasing resourcefulness in creative problem solving
- Ability to understand fraudster and customer behaviour, leveraging psychology to drive innovative rule ideas.
- Proven experience working with SQL to extract and manipulate data from complex datasets
- SAS programming experience is desirable but not mandatory,
- BI Visualisation Tools experience such as Tableau is advantageous
- Demonstrated ability to collaborate effectively with business stakeholders for enhanced outcomes
- Tertiary education in a quantitative disciplines such as Actuarial science, applied mathematics, Statistics, Computing Science, Data Science etc.
Working with us
We support our people with the flexibility to balance where work is done with at least half your time each month connecting in our Sydney office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you.
If this sounds like you then apply today!
If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We're keen to support you with the next step in your career.
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Advertising End Date: 15/03/2024
