AML Data Scientist
Location - Tri-State area ideal, open to other locations in US
Data Scientist / Quant
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).
- 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
Referrals increase your chances of interviewing at Steneral Consulting by 2x
See who you knowGet notified about new Data Scientist jobs in New York, NY.
Sign in to create job alertSimilar Searches
Looking for a job?
Visit the Career Advice Hub to see tips on interviewing and resume writing.
View Career Advice Hub