Quantitative Finance Analyst
Found in: beBee jobs US - 4 days ago
Job Description:
The position is part of the Enterprise Risk Analytics (ERA) 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.
The Role will interact with a wide variety of stakeholders including Financial Crimes Investigations, business risk managers, model developers, model risk management, model implementation, and technology teams.
As a Quantitative Finance Analyst within Enterprise Risk Analytics - AML model development team, the main responsibilities will include:
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