VP; Quantitative Finance Analyst [REF 2021183]

Bank of America • Atlanta, GA, USA • 4d ago

Design & develop traditional & advanced statistical & machine learning (Neural Network, XGBoost, Random Forest, Support Vector Machine etc.) models to detect financial crimes & money laundering activities in bank products & channels. Perform large scale data mining & pattern recognition on complex, high-dimensional datasets using SQL, SAS & Python to identify suspicious behaviors & transaction anomalies.

Requirements: Master's or equiv. & 3 yrs exp. in: Developing predictive risk models for fraud & AML detection leveraging machine learning techniques such as deep learning using Python libraries (scikit-learn, XGBoost, LightGBM, TensorFlow/Pytorch, featuretools, NetworkX etc), SAS, & SQL based feature extraction; Designing, training, & validating supervised & unsupervised statistical & machine learning models specifically for financial crime detection. Employer will accept pre or post Masters degree exp. 10% domestic travel, as nec.

Req# 2021183. If interested apply online at www.bankofamerica.com/careers or email your resume to [email protected] & reference the job title of the role & requisition number. No phone calls. EOE.

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