At a Glance
- Tasks: Develop fraud detection models and analyse product metrics to reduce fraud effectively.
- Company: Transak Inc., a forward-thinking company based in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team in a rapidly evolving industry with excellent career prospects.
- Why this job: Make a real impact on product and policy while tackling fraud with innovative ML techniques.
- Qualifications: 2-5 years of experience, strong SQL skills, and knowledge of Python or R.
The predicted salary is between 45000 - 60000 £ per year.
Transak Inc. is hiring a mid-level Data Scientist to join our Data team in London. This role is crucial in reducing fraud without adding friction for good users, leveraging ML models and deterministic rules.
Your responsibilities will include:
- Developing fraud detection models
- Analyzing product metrics
- Presenting findings
You should have 2 to 5 years of experience, with strong SQL skills and knowledge of Python or R for modeling and analysis.
This position offers the opportunity to directly impact product, policy, and revenue streams in a rapidly evolving landscape.
Fraud & Risk Data Scientist - ML, Growth Analytics employer: Transak Inc.
Transak is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to take ownership of their projects and contribute to the future of financial technology. With a strong focus on professional growth, team members have access to mentorship opportunities and the chance to work alongside industry leaders in a collaborative environment. Located at the forefront of the fintech revolution, Transak offers unique advantages such as exposure to cutting-edge technologies and the ability to make a meaningful impact on the onboarding experience for millions of users worldwide.
