Fraud & Risk Data Scientist - ML, Growth Analytics

Transak Inc.; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

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, and 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.

Qualifications

• 2 to 5 years of experience as a data scientist, analytics engineer, or quantitative analyst.
• Strong SQL skills to navigate large data warehouses.
• Solid Python or R experience for analysis and modeling.

Responsibilities

• Build and iterate on fraud detection models.
• Own funnel analytics and design A/B tests.
• Design, train, and deploy machine learning models.

Skills

SQL

Python

Machine learning

A/B testing

Data visualization

Tools

BigQuery

Snowflake

Tableau

Job description

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, and 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.