Data Scientist - Payments Risk Management & Data Analytics

About this kind of role

What a Data Scientist - Payments Risk Management & Data Analytics usually does. The employer's own details are in the listing.

Typically does: Data Scientists in this area analyze large datasets to identify patterns and trends related to payment fraud and risk. They develop and implement statistical models and machine learning algorithms to predict and prevent fraudulent transactions. This often involves collaborating with fraud investigators and compliance teams to refine risk mitigation strategies. They also evaluate the effectiveness of existing risk controls and recommend improvements.

Tools and skills: Proficiency in statistical modeling, machine learning techniques, programming languages like Python or R, SQL for database management, and data visualization tools is generally expected.

Good fit for: Individuals with a strong analytical background and a passion for using data to solve complex problems, particularly those interested in the financial sector, tend to excel in this role.