| AML Data Scientist, NYC, NY (Hybrid)GC or USC at NYC, New York, USA |
| Email: [email protected] |
| From: Yogesh Sharma, StellentIT [email protected] Reply to: [email protected] AML Data Scientist NYC, NY (Hybrid) Phone + Skype Job description: 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 1. Model Remediation 2. Data Engineering 3. SQL & Python, R Script 4. Transaction Monitoring Keywords: continuous integration continuous deployment rlang New York |
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| Tue Feb 20 23:35:00 UTC 2024 |