Data Scientist, Risk Analytics at Zip Co

Analytics & Data Science, Permanent, Sydney sydney analytics
Posted 1 months ago

About us

We are Zip, a rapidly expanding global fintech headquartered out of Sydney, Australia with a growing presence focused in the US and UK markets.

We're here to simplify how the world pays for what they need by connecting merchants with consumers and offering them fair and seamless payment solutions, everywhere. We’re also the brains behind Pocketbook, which helps almost a million Aussies take control of their money and improve their financial wellbeing.

Our values are at the heart of everything we do. They form our Mamba mentality - how we’re better than yesterday, and are used to create game-changing experiences for our customers and our people.

Central to our goal is our Analytics and Data Science function, who build the models that underpin our products, provide the insights that shape our plans, and run the experiments that move our business forward.

About the role

As a Data Scientist in our Data Science and Risk Analytics team, you will own the development and regular maintenance of behaviour scores and account management strategies for Consumer portfolios.

You will help the team with the development and continuous improvement of behaviour (account management)scorecards for consumer products, as well as ongoing model monitoring, maintenance, and improvement. 

In this role you will also own ZipPay and ZipMoney CLI strategy,  and build risk management reports to support analytical and operational  decision making.

 Finally you will help the Risk Data Science Manager to implement analytical solutions and conduct ad-hoc ‘deep-dives’. 
This is a vital role in our mission to be the first payment choice everywhere and every day.

To help us level up, you’ll bring

  • Tertiary qualification in a quantitative discipline (E.g. Mathematics, Statistics, Computer Science, Actuarial Studies, Economics)
  • 3+ years commercial analytics experience from a retail banking/consumer finance environment, preferably in Credit Risk.
  • Experience in developing credit application, behavioural and/or collection scorecards.
  • Hands-on experience in modelling and the application of statistical/machine leaning techniques.
  • Strong exposure to analytical scripting languages, in particular SQL, Python, and R.
  • Good communication and stakeholder management skills.
  • Our values in your DNA: Customer First, Own It, Stronger Together and Change the Game
  • We’re looking for someone who always finds new boundaries to cross - a future Zipster who will obsess over excellence and make constant improvements for our customers. We’ve removed the red tape here to get things done quickly, so if you see a problem, own the solution. You've gotta hustle at Zip!

    If you only meet some of the requirements for this role, that's okay. We value a diverse range of backgrounds and ideas and believe this is fundamental for our future success. So, if you have the curiosity to learn and the willingness to teach what you know, we'd love to hear from you.

    We pride ourselves on creating an inclusive workplace that provides equal opportunities to all persons regardless of their age, cultural background, sexual orientation, gender identity and expression, disability, veteran status, or anything else.

    Benefits @ Zip

    -  Flexible working culture
    -  Share incentive programs
    -  Generous paid parental leave
    -  Birthday and wellness leave
    -  Epic offices with a casual dress code
    -  Fun team with high-growth hustle
    -  Free breakfast and weekly lunches
    -  Heaps of social events

    Join us on our mission to be the first payment choice, everywhere and every day.