Location - Tri-State area ideal, open to other locations in US
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.
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
Model Remediation
Data Engineering
SQL & Python, R Script
Transaction Monitoring
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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