Aml Data Scientist

Financial Crime - AML Data Scientist - Transformation Support - our Client US
Location - Tri-State area ideal, open to other locations in US - Remote OK
Data Scientist / Quant:
Experience driving the model remediation of a TM program.
Familiar with AML/CTF transaction monitoring guidance and requirements (specifically OCC 2011-12 Supervisory Guidance on Model Risk Management).
Strong analytical skills in data analysis and data processing, direct experience in operating "big data," and can leverage modern modelling techniques (including statistical analysis) to remediate and enhance TM capabilities.
Detailed job description (Experience Required/Responsibilities):
Design, modify, and execute quant statistical and analytical methods to ensure a proper assessment / interpretation of model metrics.
Coding skills in SQL and Python, and experience with Hadoop, Apache Spark, Scala, CI/CD processes, and Git Branching.
Hands-on technical experience working with AML Transaction Monitoring systems (like Mantas and/or Actimize).
Top 3 skills required 1. Model Remediation
2. Data Engineering
3. SQL & Python, R Script
4. Transaction Monitoring