Senior Data Scientist, Credit Risk
Zip, Australia

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
No
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
Jan 20, 2022
Last Date
Feb 20, 2022
Location(s)

Job Description

Before we dive into the role, let’s talk about flexibility. Our Zipsters can choose where and when they work by taking full advantage of our hybrid-work environment. So whether you’re mostly remote, mostly in the office or a mix of the two, you’ll be empowered to do whatever brings out your best.
About us
We are Zip, a global Buy Now, Pay Later company providing fair and seamless solutions that simplify how millions of people pay. Our journey began in Australia, has taken us to 13 countries (so far) - and we’re just getting started.
We exist to create a world where people can live fearlessly today, knowing they’re in control of tomorrow. Focused on product innovation that puts people at the centre, we put the financial well-being of our customers and merchant partners at the heart of everything that we do.
About the role
Central to our goal and ambitions 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.
We're looking for somebody with an analytical mind and a passion for thinking outside the box to solve real world problems at Zip. As a Data Scientist in our Risk team, you will be responsible for development and regular maintenance of collection and account management strategies for Consumer portfolios. You'll work closely with different stakeholders across the business to drive real, meaningful change for Zip and our customers. You will
  • Be the go-to person for Zip Money credit increase strategy
  • Develop and maintain account management scorecards (collections models, behavioral scorecards etc.)
  • Create Tableau dashboards for better visibility of processes and performance
  • Optimize collection treatment automation
  • Conduct ongoing reviews of repayment processing
  • Review collection campaigns and provide valuable insights to senior stakeholders
Your skills
  • 5+ years’ experience in data science (ideally within credit risk portfolios)
  • A proactive mindset to identify issues early and make improvements in our risk strategy
  • Excellent understanding of how data and analytics can be used to drive optimal credit decisioning
  • Experience in risk analytics or credit risk modelling along with ML models
  • Previous experience of running campaigns and conducting post campaign analysis
  • Experience with data visualisation (we use Tableau but Power BI is also fine)
  • Experience in SQL, Python, and Spark
We’re proud to be a values-led business. They guide us in everything we do - how we work together and create game-changing experiences for our customers and fellow Zipsters.
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.
What’s in it for you?
We offer a variety of perks and benefits to support you at both work and home. Here’s a taste of what you can expect!
Flexible working culture Share incentive programs Generous paid parental leave Leading family support policies Paid birthday and volunteering leave Mental health and wellbeing program Virtual yoga and meditation classes Epic office with a casual dress code Fun team with high-growth hustle Heaps of social events
Join us on our mission to be the first payment choice, everywhere and every day.

Job Specification

Job Rewards and Benefits

Zip

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