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matrix-ifs
We are seeking an experienced Data Analyst with a strong banking background and expertise in financial crime analytics, including sanctions, fraud, or Anti-Money Laundering (AML) modeling. The ideal candidate will have strong quantitative and analytical capabilities, hands-on experience with model development and tuning, and advanced proficiency in Python and SQL. This role will focus on analyzing complex banking data, developing and optimizing classification models, evaluating model performance, and supporting tuning initiatives to improve the effectiveness of financial crime detection systems.
Matrix USA (Matrix-IFS) is a technology and services organization specializing in financial crime compliance and digital transformation for enterprises, with core practices in Anti-Money Laundering, Fraud Prevention, and Capital Markets surveillance. The company delivers end-to-end services — from strategic advisory and technology implementation to managed services, RPA automation, and data/AI solutions — with deep expertise in helping financial institutions meet regulatory requirements. Matrix positions itself as a trusted partner for compliance, risk management, and platform modernization at enterprise 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
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