Ensure robust AML/CFT controls, policies, and procedures are implemented and adhered to, maintaining compliance with regulatory requirements and internal standards.
Assist in the design and implementation of risk detection frameworks, leveraging AI and predictive analytics to identify potential AML threats, including risks related to mule accounts and complex financial crime networks.
Synthetic Data Methodology : Design physics-constrained generative model approaches (diffusion models, VAEs) for synthetic data generation. Deliver validated methodology and training recipes for pipeline operationalization.
What You'll Do: Design, develop, and maintain Actimize-based AML Transaction Monitoring systems️ Collaborate with business analysts and stakeholders to gather requirements Perform system analysis, troubleshooting, and performance optimization Create technical documentation and conduct code reviews Support testing phases and ensure quality deliverables Implement enhancements based on regulatory changes or business needs
We're looking top tier software engineers as part of a high-leverage team that ships across the entire search and retrieval stack: crawling, parsing, ML systems performance, retrieval algorithms, and new product surfaces. Past output from this team includes shipping entirely new product lines from scratch, cutting ML inference latency multiple times over, and making core infrastructure several times faster. You'll move between problem areas as the business needs it, with real end-to-end ownership from day one.
Opportunity to grow scientifically and professionally through mentorship from experts across AI/ML, pathology, biomarker sciences, and drug discovery, while building a strong publication record and expanding your international scientific network.