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Insights Analyst, Fraud Analytics

5 months ago

Sydney, Australia Commonwealth Bank of Australia Full time

At CommBank we believe in working somewhere that works for you. We have many flexible working options available so talk to us about which arrangements could work best for you.

**You are** a curious and enthusiastic Analyst with a true passion for Data and Analytics

**We are** a close knit team who use data to develop and enhance the Group's fraud and scam reports and dashboards

**Together we will** develop insights on fraud and scam trends to quantify their impacts on customer loss and the bank's financial and operational performance

**Do work that matters**:
The Fraud Data Analytics team, part of the Chief Data and Analytics Office, maintains the fraud detection and reporting functions for the Group. Our team supports the operations of Group Fraud Management Services who are devoted to protecting the monetary assets from fraud and financial loss of CBA and Bankwest customers.

**See yourself in our team**:
Fraud Analytics is responsible with defining and execution of robust fraud analytics procedures for the Group.

Our team's diverse backgrounds means we can draw on one another's experience to deliver to best work outcomes. We are committed to safe-guarding our customers from financial fraud and scams. Our analytics run on Australia's largest real-time transaction monitoring system, handling millions of transactions per day.

**On a day-to-day basis, you will**:

- Build new dashboards to provide analytical insights to the organisation's decision making processes.
- Maintain existing business insights tools and reports.
- Develop reports using the various tools such as SAS visual analytics, Tableau, Microsoft Office.
- Develop interactive dashboards, reporting and visualisations, to provide insights and make recommendations.
- Provide insights into trends and anomalies - including root cause analysis.
- Build effective working relationships with stakeholders.
- Manage potentially difficult interactions ensuring the appropriate priority level is assigned.

**We are interested in hearing from people who have**:

- Proven experience working with **SAS **and **SQL** to extract and manipulate data from complex datasets.
- Experience working with** Tableau** would be desirable.
- An analytical mindset with the ability to solve problems in a creative way.
- Demonstrated ability to collaborate with business stakeholders to resolve issues.
- Ability and willingness to work unsupervised and under challenging deadlines.
- Tertiary qualified in a numerate, engineering and/or IT based disciplines such as Actuarial science, applied mathematics, Statistics, Computing Science, Data Science.

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Advertising End Date: 11/03/2024