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Fraud Analytics Lead

Apply now Job no: 53507940
Work type: Fixed Term Full Time
Location: VIC - Metro
Categories: Digital

  • Be part of our digital transformation
  • Innovate leading edge solutions
  • Be right in the heart of Melbourne CBD

At Australia Post, innovation is at the heart of our transformation, and we are committed to ensuring our teams of digital specialists are challenged, supported and recognised. Technology is transforming our world and because our customers are at the heart of everything we do, we're changing too. So, we provide an environment that ensures we deliver the best: leading edge technologies; a creative, agile approach; a unique breadth of projects and an unexpectedly dynamic, small team culture that feels more like a start-up than a 208-year old icon.

What's the job involve?

TrustCheck is a new corporate start up with a ground-breaking approach to fraud prevention that is being jointly developed by NAB and Australia Post. We’re exploring new ways of applying data science to help merchants reduce losses, improve customer experiences and grow their business online with confidence.

The TrustCheck Fraud Analytics Lead is a hands-on and client facing leadership role reporting directly to the TrustCheck Business Owner.  The role will lead the TrustCheck data science team in the development, delivery and ongoing management of machine learning models. The role will work with clients to design data experiments, then conduct and manage real-time machine learning models that generate live insights.  A key focus of the role is leveraging data to predict identity fraud.

This is a fantastic opportunity for a mid-senior level data scientist or fraud analyst who is looking to take the next step in their career. It’s the chance to develop and own technologies that are at the heart of an independent venture that uses the might of corporate Australia to better protect our community from fraud.

Key accountabilities will include:

Data Science

  • use advanced analytics and machine learning to generate actionable fraud insights for our business customers
  • work with customer and our insight partners data teams to understand and source data for experiments, and design experiments to test the efficacy of our product for particular use cases
  • designing data science features that maximise the predictive capability of data available to TrustCheck
  • continually improve and evolve the data science capability


Management of real time data science models

  • manage the full life-cycle of real-time data science models: model development, promotion to production, monitoring and retraining
  • retrain models to respond to new fraud vectors or in response to model drift



  • lead the data science team, prioritising work and scheduling to meet deadlines and deliverables
  • develop the data science strategy and roadmap
  • mentor and develop data science team members
  • communicate results to senior stakeholders and clients in a commercial meaningful way

What it's like to work here:

For you, it means you’ll do great work, learn from the best and develop a career within a robust and well invested but empowering and creative environment. We all work hard – we’re working on major challenges, after all – but we also recognise that you have a life outside of the office, so we provide flexible conditions that enable you to grow whilst enjoying genuine work life balance.


What we're looking for:

  • A degree, or significant professional experience, in qualitative or numerate discipline (statistics, mathematics, computer science etc)
  • Demonstrable experience with python, tableau, SQL and database technologies
  • Experience collecting, analysing and modelling data related to fraud, information security or credit decisioning
  • Hands on experience building end to end production grade machine learning pipelines in cloud environment (AWS preferred)
  • Experience managing real-time machine learning models
  • Ability to work at the detailed level while being mindful of the big picture 
  • Proven experience leading and mentoring teams
  • Excellent communication and collaboration skills in cross functional teams (both technical and non-technical) and demonstrated experience working with senior commercial stakeholders (clients, non-technical stakeholders, etc) to understand their needs, design experiments or solutions to their challenges and articulating results and strategies back to them in a meaningful way.
  • Fraud analytics and modelling experience highly desirable
  • 7 plus years relevant industry experience

Technical skills are important, however they are not everything. We see our culture just as important and therefore the candidate will have:

  • Excellent communication skills
  • Ability to work autonomously
  • Desire to try new things
  • Be friendly and approachable!

We believe a diverse and inclusive workplace brings out the best in our people. We encourage applications from people of all ages, nationalities, cultures and disabilities. A career at Australia Post Group can lead down many paths and we are passionate about offering a supportive, inclusive culture, competitive compensation and flexible working conditions that enable you to develop whilst enjoying genuine work life balance.

To register your interest with our passionate careers team, please click 'Apply Now' and please remember to upload your details and your most recent resume.


Advertised: AUS Eastern Daylight Time
Applications close: AUS Eastern Daylight Time

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