Aml Data Scientist - New York, United States - ThoughtStorm
3 weeks ago
Description
Financial Crime - AML Data Scientist - Transformation Support- Location
- NY
- Hybrid. Right now 2 days per week and starting July 3 days per week office.
Data Scientist / Quant:
- Experience driving the model remediation of a TM program.
- Familiar with AML/CTF transaction monitoring guidance and requirements (specifically OCC 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.
- Handson 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
Job Type:
Contract
Pay:
$ $70.00 per hour
Schedule:
- 8 hour shift
Experience:
- Python: 1 year (required)
- Antimoney laundering: 3 years (required)
Ability to Commute:
- New York, NY required)
Ability to Relocate:
- New York, NY 10001: Relocate before starting work (required)
Work Location:
Hybrid remote in New York, NY 10001
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