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!

Team Overview:

The Corporate Treasury Quantitative Analytics team at Bank of America is staffed by analysts who apply an extensive set of quantitative methods for effective asset liability management.  Methods include, but are not limited to, econometric and statistical forecasting models for the loan and deposit products on the bank’s balance sheet. The group provides quantitative models and analytical support for decision making and risk measurement functions within Balance Sheet Management, Liquidity Management, and Global Funding.

This role provides an opportunity to develop models for deployment on the Quantitative Finance Analytical Platform, a proprietary platform for advanced computational needs within Corporate Treasury.

Required Skills and Experience:

Strong academic background in econometrics or statistics (M.S. or PhD in a STEM/Economics field) - or related work experience

Strong skills/intuition in Economics and Finance

Ability to work individually and with the group on complex problem solving; analytical skills, critical thinking with a strong desire to learn

Strong attention to detail, excellent communication skills and ability to work well in a cooperative, time-sensitive, market-driven environment

Ability to manage multiple priorities with minimal supervision

Expertise in Statistical Programming Software such as R, and experience in data analysis

Desired Skills and Experience:

Experience with financial markets and banking

Experience with computational and simulation methods

Places value on process automation with an eye for reproducibility of results

Experience in one or more of the following languages: Python, SQL, Spark

Experience working with Unix/Linux environment

Shift:

Hours Per Week: