Job Description
VP; Quantitative Finance Analyst sought by Bank of America N.A. to 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. Reqs: 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. Job Site: Atlanta, GA. Req# 26021813. If interested apply online at www.bankofamerica.com/careers or email your resume to bofajobs@bofa.com & reference the job title of the role & requisition number. No phone calls. EOE.