Risk Advisory – Data & Analytics – 2023/24 Vacationer Program (brisbane)

What will your typical day look like?

No two days are the same in the Regulatory & Compliance team as you help clients understand and navigate complex business issues, organise them with data-driven solution, as well as build and execute on multi-layered data strategies. On a typical project, you’ll work closely with a team of experts and start off by sourcing and preparing data for analysis. Then, you’ll dive deep into the data to develop meaningful insights to present back to the client using software like Excel, SQL, Tableau, and Power BI. Advanced statistical modelling software such as Python and R are tools at your disposal. Don’t fret, you’ll have % support from the team as you pick up these new skills! Once you’ve discovered hidden data insights, you’ll get to develop tailored recommendations and solutions for the client. Pretty cool, right? Who will you be working with? Our curious and data-driven team is comprised of 2 main pillars: Data Risk: Our Data Risk and Compliance Analytics team supports our clients from development of their data strategy and governance framework through to implementation of operational analytics solutions leveraging robotic process automation and machine learning. Currently, we’re focusing on regulatory compliance, reducing operational risk, data lifecycle management, and controls transformation within a wide range of industries! Advisory: Our Advisory team works closely with clients to advise, implement, and deliver solutions that address complex regulatory risks. We bring together risk, process, and control transformation to embed and improve our clients operating models, underpinned by data analytics. This provides our clients with comfort that risks are appropriately mitigated, streamlines their operating model, and drives intelligent decision making through the use of data. Enough about us, let’s talk about you. You are an inquisitive student with a knack for solving complex problems. You will also have: A background in Business/ Commerce, Economics, Data Science, Software Engineering, Mathematics, Statistics, IT, Computer Science or equivalent fields (completing your studies in ) Great interpersonal skills and thrive in collaborative environments A passion for data analysis and presenting data for visual impact A drive to untangle challenges and solve ambiguous and fuzzy problems with creative solutions Motivated to use your own initiative to achieve high standards for your clients and team. Australian permanent residency or Australian/New Zealand Citizenship (required)