About this role
Quantifind is hiring a Data Scientist to apply quantitative methods and AI-driven solutions to detect financial crime and support client-facing engagements with major financial institutions and government agencies. The role sits on the Data Science team and collaborates with Product and Platform engineers to translate real-world problems into research and production-ready solutions. The company offers a supportive, growth-oriented environment with hybrid work across Palo Alto, Atlanta, and Washington, D.C., and a competitive benefits package including equity.
Required Skills
- Scala
- Java
- Python
- R
- Statistical Modeling
- Machine Learning
- NLP
- Entity Resolution
- Topic Modeling
- Document Classification
+11 more
Qualifications
- Master's Degree or Higher in Statistics, Mathematics, Computer Science or Related Field
About Quantifind
quantifind.comQuantifind 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.
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