regnology
A Machine Learning Engineer at Regnology will develop innovative AI/ML solutions leveraging NLP, classification, and regression models, focusing on data automation and architectural improvements. The role involves working within an international, agile team to deploy cutting-edge AI technologies for diverse applications.
Regnology is a global leader focused on regulatory reporting and data, providing software and services to financial institutions, regulators and tax authorities. Its modular Regnology Platform and cloud offering (Rcloud) power reporting hubs and industry-specific solutions—transaction reporting, tax, insurance, risk and finance—alongside connectivity and tooling such as Rconnect, a granular data model (RGD) and a Regnology Chatbot. For supervisors and authorities it supplies products like the Supervisory Hub, AEOI and Fusion Statistics to ingest, standardize and analyze regulatory data. Clients rely on Regnology for end-to-end compliance workflows, data-centric architecture and global coverage that simplify complex regulatory obligations.
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 regnology.
regnology didn’t post a salary, so this is our estimate from similar listings.
23% below the average for this role
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