R&D Rockstar I Data Scientist I P/T

zipMoney Ltd

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About zipMoney Ltd

We’re here to simplify how you pay everywhere and save every day by offering fast, fair and seamless payment solutions online and in-store. We strive to be unlike others in the industry – we help businesses grow by offering a best in class product, driven by the most innovative team. We’re here to do things differently. With a laser focus on relentless product innovation, we are the next generation of payments. We see the opportunity to do things differently and better than the banks. We’re people, just like you who think purchasing shouldn’t be so inflexible.

For more information, please visit our website: https://zipmoney.com.au/

Job description

One of Australia’s fastest growing Fintech companies is seeking a weaponry Data Scientist who is passionate about numbers, machine learning, artificial intelligence and the application of analytics to solve real-world business problems. The successful candidate will use their skills to support a number of functional areas across the zipMoney and Pocketbook businesses including credit risk analytics, fraud detection, operational automation, digital marketing, and personal financial management, across a range of structured and unstructured data sources.

Your role

  • Behavioral scorecards to manage and mitigate portfolio risk
  • Risk-based pricing models to profitably assign consumer lines of credit
  • Underwriting/fraud risk models and scorecards across the suite of zipMoney products
  • Natural language processing to improve the accuracy in categorizing bank transaction data that will underpin emerging robo-advice technologies
  • Customer segmentation models and recommendation engines to support greater levels of digital marketing personalisation
  • 50 Bridge St, Sydney, New South Wales, Australia
  • Statistical Modeling
  • Project Management
  • Data Mining & Analysis
  • Email Marketing
  • Machine Learning