Fraud Data Scientist




Pagantis is a growing fintech providing financial products based on a process that is fully automated and online allowing our customers to complete it in a few minutes only.

We look for a data scientist to focus mainly on fraud detection and prevention activities by improving our fraud layers and developing solutions that operate in different countries.

You would join a team of 4 data scientists, 1 data analyst and 2 data engineers. Our main task is to develop and continuously improve the credit risk engine that runs in the core of our products to be able to take decisions in real time.

Fraudsters are constantly trying to find new loopholes to circumvent existing detection models and we are constantly trying to identify and close these loopholes. You will be hunting and outsmarting them which in some cases results in criminal prosecution.


    • Design, implement and maintain algorithms and machine learning models for the credit risk engine with main focus on fraud layers
    • Perform exploratory analyses and forecast business impact to provide recommendations for actions
    • Investigate the fraud cases in collaboration with the other departments involved
    • Design experiments and take data driven decisions to optimise the credit risk engine
    • Develop fraud layers in new countries as the company is growing internationally
    • Monitor and design alerts to detect potential new fraud cases
    • Suggest, research and develop new ways to improve our team and processes

Desired Skills and Experience:

  • Experience and knowledge in machine learning as well as data analysis and statistics
  • Knowledge of R with focus on data mining
  • Knowledge and experience with SQL
  • Passionate about analytics
  • Problem solving skills: you enjoy diving into problems to find the root cause using data
  • English professional working proficiency

Nice to have

    • Experience with ETL processes
    • Knowledge of AWS
    • Knowledge of Python


  • Great team and culture
  • Developers are responsible for features from inception to delivery
  • We do continuous delivery: any team member can deploy, and we regularly do several deploys a week
  • A fantastic culture of creatively minded, hard working people who are passionate about Digital Origin and being part of its growth and success
  • Great working environment
  • Career development opportunity
  • Competitive salary
  • Friendly and supportive team
  • Opportunity to constantly learn new technologies and grow as a professional according to your own interests
  • Flexible compensation plan: Restaurant / Transport / Nursery tickets
  • Extended annual holiday leave
  • Flexible working hours
  • Half day Fridays
  • Equipment of your choice (HW, OS and IDE)
  • Private Health Insurance
  • Referral Bonus
  • Training Programs
  • Remote work on Fridays
  • Fresh Organic Fruit, Nuts, Coffee & Tea
  • Monthly afterwork
  • Gym membership