Senior Credit & Fraud Risk Analyst


Senior Credit & Fraud Risk Analyst

• Permanent full time role with reimbursements for professional development
• Local and overseas secondment opportunities
• 18-weeks paid parental leave


What will your typical day look like?

• Development and management of credit and fraud rule suites covering a retail/consumer portfolio
• Manage the implementation of the automated Credit Risk assessment process
• Optimizing the credit and fraud policy layer in automated decision making
• Develop and implement documented credit and fraud policies
• Development of credit risk assessment process and portfolio reporting suites
• Assist in identifying and collecting data from financial systems and other related data sources
• Develop small to medium size software systems in a variety of programming languages to automate processes, provide insight and/or support risk mitigation
• Contribute to the design of analytical solutions in response to risk issues
• Help client’s understand their risk profile through data visualisation using a variety of platforms
• Identify organisational risks and opportunities for process and system changes to better manage future risk.


About the team

Every organisation collects data. Managed well, it can predict and mitigate risk along with driving revenue, reducing cost and optimising operations. Managed poorly and not used effectively, it can expose businesses to unforeseen risk that could damage reputation and lead to costly remediation programs. Risk analytics applies the understanding of underlying risk and control issues, combined with knowledge of technology and analytic skills to help uniquely identify high priority risk areas in our clients’ businesses and to explore those risks using our clients’ data. The key risks this team seek to mitigate for our clients is credit and fraud risk using their industry knowledge and technical expertise.

Enough about us, let’s talk about you.
You are someone with:
• Automated decision rule design and implementation experience
• Credit policy management experience
• Fraud policy management experience
• Credit risk assessment process reporting expertise
• Risk appetite/override reporting expertise
• Technical grounding in SQL, SAS, Python or similar programming languages
• Experience in visual communication of analysis e.g. Tableau, QlikView, Qlik Sense, Power BI

Why Deloitte?
At Deloitte, we create positively differentiated work experiences that enable our people to feel valued and achieve their full potential. We value difference, and embrace people with diverse backgrounds and thinking styles. Knowing that people work best in different ways, we are happy to discuss alternative arrangements if the working pattern you are looking for is not specifically indicated.

Next Steps
Sound like the sort of role for you? Apply now.
If you’ve got any questions or wish to have a confidential conversation about this role, contact Subha Suri from the Talent Acquisition team at We’d love to hear from you!



Senior Credit & Fraud Risk Analyst

• Permanent full time role with reimbursements for professional development
• Local and overseas secondment opportunities
• 18-weeks paid parental leave


What will your typical day look like?

• Development and management of credit and fraud rule suites covering a retail/consumer portfolio
• Manage the implementation of the automated Credit Risk assessment process
• Optimizing the credit and fraud policy layer in automated decision making
• Develop and implement documented credit and fraud policies
• Development of credit risk assessment process and portfolio reporting suites
• Assist in identifying and collecting data from financial systems and other related data sources
• Develop small to medium size software systems in a variety of programming languages to automate processes, provide insight and/or support risk mitigation
• Contribute to the design of analytical solutions in response to risk issues
• Help client’s understand their risk profile through data visualisation using a variety of platforms
• Identify organisational risks and opportunities for process and system changes to better manage future risk.


About the team

Every organisation collects data. Managed well, it can predict and mitigate risk along with driving revenue, reducing cost and optimising operations. Managed poorly and not used effectively, it can expose businesses to unforeseen risk that could damage reputation and lead to costly remediation programs. Risk analytics applies the understanding of underlying risk and control issues, combined with knowledge of technology and analytic skills to help uniquely identify high priority risk areas in our clients’ businesses and to explore those risks using our clients’ data. The key risks this team seek to mitigate for our clients is credit and fraud risk using their industry knowledge and technical expertise.

Enough about us, let’s talk about you.
You are someone with:
• Automated decision rule design and implementation experience
• Credit policy management experience
• Fraud policy management experience
• Credit risk assessment process reporting expertise
• Risk appetite/override reporting expertise
• Technical grounding in SQL, SAS, Python or similar programming languages
• Experience in visual communication of analysis e.g. Tableau, QlikView, Qlik Sense, Power BI

Why Deloitte?
At Deloitte, we create positively differentiated work experiences that enable our people to feel valued and achieve their full potential. We value difference, and embrace people with diverse backgrounds and thinking styles. Knowing that people work best in different ways, we are happy to discuss alternative arrangements if the working pattern you are looking for is not specifically indicated.

Next Steps
Sound like the sort of role for you? Apply now.
If you’ve got any questions or wish to have a confidential conversation about this role, contact Subha Suri from the Talent Acquisition team at We’d love to hear from you!


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