World-class learning and leadership programs
Reimbursements for professional development
Flexible work arrangements - work in a way that suits you best
What will your typical day look like?
As a Senior Manager in the Financial Risk team, you will work with a wide range of clients across Credit, Telco’s and Utilities who are looking to improve their practices using analytical techniques, reporting, and advice.
You will lead and enhance client relationships, working on issues that matter to the industry, including Comprehensive Credit Reporting, Open Banking, Responsible lending and the continuous improvement of Financial Risk management practices.
Using your outstanding analytical abilities, you will :
Partner directly with our clients, leading teams to develop data driven insights to enhance clients’ customer portfolios
Use your statistical model building experience to lead the development of risk models, capital models and / or IFRS9 models
Use your extensive knowledge within the financial industry to undertake reviews of client processes to identify improvements
Proactively identify new opportunities for clients to enhance value from data driven projects
Coach, mentor and inspire junior members in the team
Receive structured training and mentoring tailored to help you reach your potential - you're never on your own.
In return Deloitte will provide you with structured training and mentoring tailored to help you reach your potential - you're never on your own.
About the Team
Welcome to Deloitte Financial Risk we are a local team with approachable Partners that are considered leaders in our industry.
We have a mix of experienced statisticians, data analysts, data scientists and consultants that help our clients continue to improve their financial Risk Management practices using data driven insights, our considerable industry experience and a client focused mindset.
Enough about us, let’s talk about you.
You will have :
Bachelor’s degree in Statistics, Mathematics, Data Science or equivalent field(s)
Master’s degree or PhD in numerate discipline is desirable
A solid technical grounding in SAS, R Programming, Python, or SQL
Experience in Machine Learning and Advanced Analytics techniques highly is highly desirable
Experience in any of the following :
Developing / Validating / Monitoring Credit Risk Models, Capital models and / or IFRS9 models
Credit strategy management
Portfolio Stress Testing
Industry experience, including but not limited to :
Telco / Utilities
Experience in visual communication of analysis (e.g. SAS VA, Tableau, QlikView, Qlik Sense, Power BI) is highly desirable
Experience in leading projects and coaching others to deliver outstanding results
Strong attention to detail and thoroughness in following processes and procedures
A proactive mindset and approach are a must, as is a curious mind and a thirst to learn
An ability to turn data into actionable insights via a story