Payments Data Scientist (Risk & Fraud)

Payments Data Scientist (Risk & Fraud)

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

Apply Now

Apply Now

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Are you interested, get in touch with:

Alison Prichard

ali@teampcn.com

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