EXL
We are seeking a highly skilled and analytical Fraud Modelling Specialist to join our Risk Analytics team, focusing on developing predictive models to detect and prevent fraudulent activities. The role requires a strong background in data science with hands-on experience in Python and statistical modeling techniques. The ideal candidate will analyze large datasets to identify fraud patterns and collaborate with cross-functional teams to implement real-time fraud prevention strategies.
Headquarters
New York, New York, United States
Company Size
10001+ employees
Founded
1999
EXL (formerly EXL Service) is a global analytics and digital transformation firm that helps enterprises harness data, AI, and domain expertise to drive growth and operational improvement. It combines advanced analytics, machine learning and generative AI with industry-specific platforms and managed services to modernize operations across insurance, healthcare, banking, utilities and other sectors. EXL’s offerings include consulting, cloud and data engineering, automation, managed analytics and business process operations to reduce costs, manage risk and enhance customer experience. Organizations partner with EXL for its data-driven approach, industry depth and end-to-end delivery at scale.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for EXL.
Applied AI Machine Learning VP (Fraud Modelling)
JPMorganChase
Senior Data Scientist (Fraud Risk or Credit Risk Modelling)
Orange County Government (Florida)
Fraud Detection Analyst
Leading Edge
Anti-Fraud Investigator
Viva.com
Senior Analyst, Advanced Analytics (Fraud)
Commonwealth Bank of Australia
Fraud Data Analyst
Sezzle