WHAT YOU'LL DO

Summer associates in our Cross-Asset Quantitative Investment Strategy Research program will have the opportunity to experience up to three rotations during this program with the machine learning group within U.S. equity strategy, quantitative credit strategy, rates and rate derivatives strategy, equity derivatives research and the quantitative systematic investment strategies team.

During the program summer associates will conduct primary research in areas that can include:

• Applying advanced machine learning techniques to develop strategies for harvesting risk-premia and asset allocation
• Investigate how markets are influenced by macro and sentiment factors using natural language processing and deep learning
• Using data science tools for modelling rates curves and positioning, portfolio construction and forecasting market anomalies
• Identify leading indicators of distress in credit markets and model inflection points in earning with real-time and big data sets
• Model financial derivatives to identify systematically mispriced assets in order to build alpha generating trading strategies
• Developing smart dynamic hedging solutions for more efficient risk management of client assets

Bank of America is one of the world's largest financial institutions, serving individuals, small- and middle-market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk management products and services. The company serves approximately 56 million U.S. consumer and small business relationships. It is among the world's leading wealth management companies and is a global leader in corporate and investment banking and trading.