Develops and analyzes quantitative models, researches best practices and new technologies, and performs complex analysis and draws conclusions.
May oversee or assist less experienced analysts.
Will develop, test, and document anti-money laundering (AML) models and work primarily in the AML space, where we use a combination of internally developed and vendor-developed models.
Knowledge of AML and experience using/supporting AML modeling
3+ years work experience in quantitative analysis or modeling
Strong quantitative and statistics background
Demonstrates a high level of technical knowledge and may have developed expertise in specialty areas
Masters degree in a quantitative field such as Mathematics, Statistics, or Engineering
Programming experience, preferably in SAS or Python
Experience developing ML models in Python, preferably in a Spark environment
5+ years work experience, with 3+ years of relevant AML experience
Experience working within a bank’s AML department
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