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Senior Data Analyst Department: Internal Audit - Data & Analytics
Division: Internal Audit
Location: Melbourne
About Us At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.
About the Role As a Senior DATA Specialist in our Internal Audit (IA) team, you'll play a key role in helping to expand our Data Analytics capability and capacity to enhance risk insight and assurance coverage. IA comprises multiple teams that collectively support ANZ Group to move at pace safely through our enterprise-wide lens and independence. The use of technology, data and automation are critical in driving innovation and supporting the functions of the ANZ Group.
Banking is changing and we're changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you'll be building your future, while helping to build ours.
Role Type: 12 month secondment (either at a 4.2 or 4.3 level)
Role Location: Melbourne
Work Hours: Full time What will your day look like? As a Senior DATA Specialist you will:
Contribute to and execute Internal Audit's Data Analytics strategy Provide thought leadership on techniques to audit AI/machine learning (ML) models Partner with audit teams to formulate testing over AI/ML model assumptions and outcomes Establish continuous monitoring across key business risks and controls Develop innovative Group wide and Divisional dashboards Undertake targeted business data interrogation Embed data-analytics driven culture in Internal Audit. You will be required to work closely with colleagues across ANZ Group's global team, drawing on your excellent stakeholder management and influencing skills. You will also have an important role in building capability across the Internal Audit function.
What will you bring? To grow and be successful in this role, you will ideally bring the following:
Experience in auditing AI and/or machine learning models for accuracy, performance, robustness and biases Experience demonstrating technical expertise in data analytics, ideally across both banking industry and consulting, as well as with internal audit, risk or similar experience. Strong understanding and delivery across the analytics lifecycle i.e. exploratory data analysis, data modelling and design, data wrangling, data quality, hypothesis testing, data visualisation and dashboard design. Technically proficient with hands-on experience in tools such as Qlik, Python, KNIME and SQL Strong problem solving and quantitative analysis skills Good verbal and written communication skills, as well as good listening and interpreting skills Develops and maintains good relationships with stakeholders Constantly delivers on assigned goals and strives to better these goals despite obstacles, setbacks or uncertainty Qualifications in Data/Business Analytics, Data Science, Computer Science, Mathematics/Statistics, Information Systems or other related You're not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we'd love to hear from you.
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