Our US-based client is a mature start-up in the crypto payments space that is building out their fraud team. They are seeking a Data Scientist to lead the development of fraud detection systems to protect their partners from payment fraud.
What you’ll do as the Data Scientist – Risk:
*Work closely with the team of fraud experts to understand areas of strength and vulnerabilities and help build an in-house platform to quickly test, improve, ship, and track models.
*Combine your love of payments with data to create analyses that tell a story focused on insights
*Leverage both new and existing data to increase the effectiveness and efficiency of our risk infrastructure
*Build statistical and/or machine learning models to understand the riskiness of our existing and prospective customers
*Build and improve data ETL pipeline to collect new data and refine the existing data sources
Qualifications for this opportunity as Data Scientist – Risk:
*5+ years of experience working with and analyzing large data sets
*A PhD or MS in a quantitative field (Economics, Statistics, Sciences, Engineering, etc.)
*Knowledge of the global payments and/or cryptocurrency space
*Expert knowledge of a scientific computing language (such as R or Python) and SQL