Australian business owners are entrepreneurial, driven and passionate individuals. Yet when they seek the merchant services they need to operate and grow their businesses, there is a distinct lack of support and transparency from the banks. Unfortunately, there has been no better alternative – until now.
At Zeller, we’re taking on the incumbents with a suite of products that redefine business banking. Our founding team broke away from some of the biggest names in banking and tech to solve the pain points millions of business owners suffer through every day: frustrating wait times, confusing contracts, hidden fees, and clunky tech, to name a few. This mission piqued the interest of renowned VCs, which led to one of the largest pre-launch funding rounds Australia has ever seen.
After quietly working away for over a year, we publicly released Zeller on 4 May 2021 – it’s everything business owners need to accept payments, manage their finances, and pay recipients, all in one box. Now, our sights are firmly set on an exciting roadmap of new, innovative products to help Australian businesses grow even further.
Come join us as we level the playing field for Australian businesses. Our story has just begun.
As the Data Science Lead you will be responsible for developing and implementing our data science strategy - which spans analytics through to machine learning across product development, performance improvement and risk management. You will work closely across our product, technology and strategy teams to provide long term and short term decision making information. Having worked in banking or non-bank financial institutions, you will familiar and comfortable with engaging with financial services products and understanding their data and monetary flows.
You will also be a key contributor and stakeholder in extending our portfolio into credit risk based products.
Data StrategyContributing to the development of Zeller’s approach to the collection and use of data assets across the businessEnsuring the quality of data and information across the business and providing the basis of high trust in all of data assets. Selection of quantitative and qualitative methodologies in business decisioning Input into the development of the data and BI infrastructure, ensuring the business is equipped to make data-driven decisions and that the tools, methodology and infrastructure will scale with the business.AnalyticsDevelopment and implementation of Zeller’s Machine Learning approach across all business applications and domains - from pricing to risk management and beyond. This will include:Developing and training machine learning models to scale workflows for both customers and internal usersSupport new product development ideas by providing guidance on the best use of AI/ML to develop products or supporting tools.Create the technical vision for the team on both data analytic foundations and advanced models.Working with the business across research and day-to-day activity to provide tools, insights and BI to support decision making.Using data and analysis techniques to identify:Product improvements - including cross sell / up sell, improved personalisation, pricing and risk management Process improvement - including funnel optimisation, churn / loss reduction, improvements to the business’ forecasting approachMonetisation opportunities of Zeller’s data assets
Qualifications and experience
5+ years of experience in BI / Data Science in a high growth environment Strong mathematical & numeracy skillsExtensive experience in SQL, noSQL, Python / R / MatlabUnderstanding of ETL framework and ETL tools including Skyvia, FiveTran, Apache AirflowExcellent analytical skills - the ability to identify trends, patterns and insights from dataExperience with ML / AI models and their application to business problems such as churn, cross sell, risk assessment and other Experience interpreting data and analysis to translate these insights into actionable outcomes / business decisions that improve Zeller’s strategy, product and operations. A background in SME lending, challenger banks, and other disruptive fintechs will be a natural advantage in this role. A person who has practical experience in developing risk scorecards and automating underwriting processes will also have a head-startExperience in bank or non-bank financial institution lenders is highly advantageous
Loves challenging the status-quoAbility to work autonomously yet collaborativelyStrong attention to detailPresentation skills – ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understandStructured problem solving skills and comfortable with ambiguity Be able to continually balance speed, perfection, and actionable outcomes from your analysis
What’s in it for you
- Be part of something big from the outset
- Watch your work be put up in lights
- A balanced, progressive and supportive work environment
- Competitive salary
- A package which includes equity from an early stage
- Join a rapidly growing team with opportunities to grow and develop your career wherever your passions and skills take you