Macquarie Group Australia Australia
6 days ago
At Macquarie, we support a hybrid working model. Our BFS data and analytics team is looking for a talented individual, who can deliver impactful insights and models that will drive growth and transformation of our business banking portfolio. About this Role: Lead analytics or machine learning projects in partnership with data engineers, analysts and machine learning engineers. Explore large and complex data sets to uncover new opportunities, identify root causes and recommend solutions. Develop hypotheses and use analytical or statistical approaches to test them. Build production models and run experiments to improve business performance. To succeed in this role, you will have: At least 3+ years of experience in a similar role (required) Proficient in SQL and Python/R, with some exposure to visualisation tools such as Tableau or Power BI. A degree and/or Master's in a quantitative subject such as statistics, mathematics, engineering, or related fields. Prior experience with... statistical techniques and quantitative modelling such as linear models, regression, and multivariate analysis. Prior experience with machine learning such as clustering, Random Forest, XGboost and text modelling. A natural collaborator with a learning mindset, willing to share knowledge and learn from others About Banking and Financial Services Banking and Financial Services is Macquarie's retail banking and financial services business, providing a diverse range of personal banking, wealth management, business banking and vehicle finance products and services to retail clients, advisers, brokers and business clients. Our commitment to Diversity, Equity and Inclusion The diversity of our people is one of our greatest strengths. An inclusive and equitable environment enables us to deliver innovative and sustainable outcomes for our people, clients, shareholders and communities. From day one, you'll be encouraged to be yourself and supported to perform at your best. If our purpose of 'empowering people to innovate and invest for a better future' is as inspiring to you as it is to us, please apply. With the right technology, support and resources, our people can work in a range of flexible ways. We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We encourage candidates to speak with a member of our recruitment team if you require adjustments to our recruitment process to support you, and the type of working arrangements that would help you thrive. < information_technology
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