Senior Data Scientist β€” Credit Risk & Growth (Remote) in Melbourne

Senior Data Scientist β€” Credit Risk & Growth (Remote) in Melbourne

Melbourne Full-Time 63000 - 77000 $ / year (est.) Remote
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At a Glance

  • Tasks: Influence lending decisions and improve credit models through data analysis and experimentation.
  • Company: Join Wagetap, a leading fintech company making waves in the industry.
  • Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with in-office days in major Australian cities.
  • Why this job: Make a real impact on credit risk and growth strategies while working remotely.
  • Qualifications: Experience in data science and strong analytical skills required.

The predicted salary is between 63000 - 77000 $ per year.

Wagetap is seeking a Senior Data Scientist to join our fintech team.

You will influence lending decisions, risk management, and expansion strategy by improving credit models, running experiments, and analyzing customer behaviour.

You will work on production-ready models, collaborate with engineering, and turn data into practical recommendations that drive commercial outcomes.

This role offers hybrid work with in-office days in Australia's major cities.

Senior Data Scientist β€” Credit Risk & Growth (Remote) in Melbourne employer: Wagetap

Wagetap offers a dynamic work environment where employees can contribute to meaningful financial solutions that help Australians regain control of their finances. The company fosters a culture of innovation and collaboration, supported by a team of experienced professionals from diverse backgrounds in tech, finance, and product development. With significant venture capital backing and a mission-driven approach, Wagetap provides opportunities for professional growth and impact in the fintech industry.

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Contact Details:

Wagetap Recruitment Team

We think you need these skills to ace Senior Data Scientist β€” Credit Risk & Growth (Remote) in Melbourne

Data Science
Credit Modelling
Risk Management
Experimentation
Customer Behaviour Analysis
Production-Ready Models
Collaboration with Engineering