Quantifind
Quantifind is seeking an Associate Data Scientist to develop and implement machine learning solutions that help financial institutions and government agencies detect fraud and money laundering. The role involves collaborating with product and platform teams to build data-driven tools, design ETL pipelines, and leverage technologies like Python, SQL, and LLMs to solve complex business problems. This position offers a hybrid work environment in Palo Alto, CA, with opportunities for professional growth and impact in the financial crimes risk management space.
Headquarters
Palo Alto, California, United States
Company Size
51-200 employees
Founded
2009
Quantifind provides an AI-driven platform for automating financial-crime detection, risk screening, and investigations across AML and KYC workflows. Their solution combines machine learning with external data to surface relevant risk signals, reduce false positives, and accelerate investigator triage and case resolution. Banks, fintechs, and other regulated enterprises use Quantifind to streamline compliance operations and improve the efficiency and effectiveness of financial-crime prevention.
Former CIA Strategy Chief Constantine Saab Joins Quantifind Advisory Board to Accelerate Federal Missions with Trusted AI-Driven Risk Intelligence
Nov 10, 2025
Quantifind strengthens AML intelligence with adverse media
Dec 16, 2025
Quantifind Showcases AI Risk Intelligence Capabilities at World Wildlife Day Event
2 weeks ago
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 Quantifind.
Quantifind Highlights ESG-Focused Risk Intelligence Use Case at World Wildlife Day Event
2 weeks ago