Financial crime typologies and bsa/aml regulations
Develop and implement advanced data analytics solutions for financial crimes detection and prevention
Job Summary
Develop and implement advanced data analytics solutions for financial crimes detection and prevention.
Use graph-based techniques, graph analytics infrastructure to identify client behavior patterns to assist in financial crime investigations and build solutions for financial crime detection.
Conduct research and development efforts to identify novel methods to deliver efficiency and effectiveness across analytical solutions.
Matching Summary
Develop and implement advanced data analytics solutions for financial crimes detection and prevention.
Skills & Requirements
Must-have
Graph databases and network analysis tools
PySpark in distributed environments
Financial crime typologies and BSA/AML regulations
Nice-to-have
Advanced analytical techniques
Novel methods for efficiency and effectiveness
Collaborate with stakeholders
Key Requirements
Advanced quantitative degree
3+ years of hands-on industry experience
Experience with graph databases and network analysis tools
Experience using PySpark
In-depth knowledge of financial crime typologies
Strong presentation, written and verbal communication skills