Quantitative Finance Analyst, AML

As a Quantitative Finance Analyst on the Enterprise Risk Analytics team, your main responsibilities will involve: Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks Understanding and executing activities that form the end-to-end model development and use life cycle Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology Position Overview Responsible for independently conducting quantitative analytics and modeling projects. Responsible for developing new models, analytic processes or systems approaches. Creates documentation for all activities and works with Technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products. Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics) Required Skills: 2+ years of experience in model development, statistical work, data analytics or quantitative research or PhD Strong Programming skills e.g. R, Python, SAS, SQL or other languages Strong analytical and problem-solving skills Desired Skills: Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences Experience with large data sets Effective at prioritization/time and project management Broad understanding of financial products Shift: 1st shift (United States of America) Hours Per Week: 40 #J-18808-Ljbffr Bank of America