• Job Description

  Req#: REQ194990

  Data Scientist - Statistical Modelling

  • You are determined to stay ahead of the latest technologies
  • We're one of the largest and most advanced Data Science practices in the country
  • Together we can build state-of-the-art data solutions that power seamless experiences for millions of customers

  Do work that matters

  As a Data Scientist within the Decision Science Home Buying Modelling Team, you will assist in the development and management of models supporting the Home Buying Business. This role involves the design, development and implementation of key business initiatives through statistical models across credit, pricing, marketing, operations and technology to drive business outcomes for the Home Loan portfolio. You will work closely with key stakeholders, such as the Portfolio teams, Finance and Group to ensure regulatory and business insights are accurate, and are in alignment to the strategic direction of the business.

  Which is why we’re the perfect fit for you. Here, you’ll be part of a high-performing team of data scientists that define pipelines to create timeseries data and perform anomaly detection with complete autonomy in solving data science problems. Using the latest tech to solve our customers’ most complex data-centric problems.

  To us, data is everything. It is what powers our cutting-edge features and it’s the reason we can provide seamless experiences for millions of customers from app to branch.

  See yourself in our team

  The Chief Data and Analytics Office (CDAO) team is responsible for leading the delivery of world-class data, analytics and technology capabilities to improve the financial well-being of our customers and communities.

  The Home Buying Modelling team within CDAO supports the Home Buying business modelling needs through the development and maintenance of predictive models, creating insights to enable business decision making at a strategic and tactical level. These models help support E2E product performance of all the retail home loan products, including pricing, credit risk and portfolio protection.

  We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you.

  We are seeking people who are:

  • Passionate about building market leading key modelling assets that utilises state of the art data science and statistical techniques for credit risk
  • Excited about tacking new challenging business problems.
  • Adept with using a combination of commercial thinking and analytically driven results to formulate new ideas for the business.
  • Collaborative to work with others and are equally self-driven to solve problems and provide the best possible solutions for the stakeholders.
  • Constantly thinking outside the box and breaking boundaries to solve complex data science problems

  We are also interested in hearing from people who:

  • Are able to develop applications and build behavioural models and operational models across credit risk, pricing, marketing and operations
  • Can collaborate with key business areas, including Product and Pricing, Line 1 risk and Credit risk to provide implementable modelling/analytical solutions and insights to drive profitable growth and productivity.
  • Are experienced in applying high complexity data science techniques to large and unstructured data within a research or corporate environment
  • Are naturally talented to educate, communicate and positively influence diversely large group of stakeholders, while working with cross-functional teams.

  Tech skills:

  We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these, or a willing to learn these skillsets (or equivalents) will set you up for success in this team!

  • Data science or statistical modelling leading end-to-end projects
  • Expertise in generating actionable value-add insights by understanding complex data by using Python, R, Spark, Teradata SQL, SAS
  • Exposure to commercial banking, ML, AI driven home buying products

  Working with us:

  Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with an ultimate flexibility to work from any of our engineering hubs within Australia. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day.

  Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. We’re hiring engineers from across all of Australia and have opened technology hubs in Melbourne, Adelaide, Brisbane and Perth. We really love working here, and we think you will too.

  **Apply Now to live your best life, by doing your best work with us! **

  If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

  We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

  Advertising End Date: 14/09/2023

• About the company

  The Commonwealth Bank of Australia, or CommBank, is an Australian multinational bank with businesses across New Zealand, Asia, the United States and the United Kingdom.

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