Job Description:
This role is a Senior Quantitative Finance Analyst within the model development team for Anti-Money Laundering (AML) detection models.
These models identify potentially suspicious behaviors for further evaluation by our in-house investigation teams. This area has a unique appetite for a wide scope of model methodologies, from simple rules-based models to advanced machine learning and AI models which facilitates opportunities for both immediate, effective contribution on team priorities and personal development through exposure to advanced modeling techniques. Our statistical toolkit includes various numerical procedures, with a recent emphasis on enhancing custom, AML domain-specific performance testing and evaluation capabilities. Python and PySpark serve as our primary programming languages, in addition to SQL for extracting data from Hadoop and other databases.
Required Skills:
Desired Skills:
The ideal candidate will possess the following skills and experience
Shift:
1st shift (United States of America)
Hours Per Week:
40
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