Assistant Vice President: Quantitative Finance Analyst

Bank of America•Charlotte, NC

1d•Hybrid

About The Position

This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

Requirements

Master's degree or equivalent in Engineering (Any), Mathematics, Statistics, Computer Science or related: and 2 years of experience in the job offered or a related Quantitative occupation.
2 years of experience in analyzing and evaluating large and complex economic and financial datasets with analytical tools of Python, SQL and R.
2 years of experience using big data technologies of SQL to handle large volumes of data produced by complex financial forecasting models.
2 years of experience developing and evaluating quantitative modeling and analytics projects in risk analytics and loss forecasting leveraging tools R, and Python.
2 years of experience employing data analytics and visualization tools Alteryx, Tableau, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management.
2 years of experience interpolating curves in VBA, analyzing margin behavior, debugging optimizing code for Swaption liquidity model in Matlab.

Responsibilities

Conduct quantitative analytics and modeling projects independently.
Develop new models, analytic processes, or systems approaches.
Create documentation for all activities and work with Technology staff in the design of any system to run models developed.
Apply quantitative methods to develop capabilities that meet line of business, risk management, and regulatory requirements.
Maintain and continuously enhance capabilities over time to respond to the changing nature of portfolios, economic conditions, and emerging risks.
Understand and execute activities that form the end-to-end model development and use life cycle.
Document clearly and communicate quantitative methods effectively as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, and technology.