Job Description:

　　At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

　　One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

　　Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

　　Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

　　RESPONSIBILITIES:

　　Design systematic quantitative indices and strategies in Commodity and FX markets for global institutional clients.Perform rigorous and innovative research and generate new ideas from mathematical, statistical, economic and financial concepts.Create a framework to test ideas using computer code, statistical models and perform end-to-end development, including alpha idea generation, data processing, strategy backtesting, optimization, and implementation.Generate analysis for clients to show evidence of risk premium and present research to a wide audience, marketing with clients via in person meetings or phone calls to understand their requirements and design specific products accordingly.Develop and optimize the code base for the construction, calculation, and maintenance of strategies products, approximately two thousand (2000) products currently.Work closely with Traders and Sales to meet Liquidity/Trading limitations as well as client's needs.Design financial products/strategies on derivatives such as futures and options in Commodities or FX asset classes.Data engineering to develop and streamline data processes that are crucial to all stages of systematic strategy development via data collection of both structured and unstructured data, explanatory data analysis, signal processing, and data visualization.Local and parallel programming in Python or C# to perform object-oriented coding and system design.Work on in-depth data science research projects using advanced statistical methods such as machine learning and time series prediction.

　　REQUIRED SKILLS & EXPERIENCE:

　　Bachelor's degree or equivalent in Computational Finance, Financial Engineering, Machine Learning, Quantitative Finance or related; and2 years of experience in the job offered or a related quantitative occupation.Must include 2 years of experience in each of the following:Designing financial products/strategies on derivatives such as futures and options in Commodities or FX asset classes;Data engineering to develop and streamline data processes that are crucial to all stages of systematic strategy development via data collection of both structured and unstructured data, explanatory data analysis, signal processing, and data visualization;Local and parallel programming in Python or C# to perform object-oriented coding and system design; and,Working on in-depth data science research projects using advanced statistical methods such as machine learning and time series prediction.

　　EMPLOYER: Merrill Lynch Commodities Inc.

　　Shift:

　　1st shift (United States of America)

　　Hours Per Week:

　　40