Vice President / Quantitative Finance Analyst

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:

• Apply quantitative models and techniques in order to address and resolve concrete financial problems and develop capabilities that meet line of business, risk management and regulatory requirements.

• Utilize advanced quantitative techniques and tools, such as, statistical analysis, predictive modeling, linear regressions.

• Code in Python and applying knowledge of best practices in software and financial engineering.

• Apply quantitative knowledge to specific financial challenges and projects specific to your business alignment.

• Clearly document and effectively communicate quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology.

• Analyze and assess large, complex financial dataset with analytical tools such as Python, SQL and R.

• Perform data preprocessing steps such as data cleaning, editing and reduction for the model input to a scenario generation system to meet various internal and regulatory requirements.

• Conduct time-series modeling to facilitate research on term-structure models beyond short-rate ones.

• Assess object-oriented programming using Python for methodology implementation and various ad-hoc exploratory works including curve fitting, statistical modeling, and Monte- Carlo simulation.

REQUIREMENTS:

• Master's degree or equivalent in Mathematics, Statistics, Financial Engineering, or related; and

• 3 years of experience in the job offered or a related quantitative occupation.

• Must include 3 years of experience in each of the following:

• Analyzing and assessing large, complex financial dataset with analytical tools such as Python, SQL and R;

• Performing data preprocessing steps such as data cleaning, editing and reduction for the model input to a scenario generation system to meet various internal and regulatory requirements;

• Conducting time-series modeling to facilitate research on term-structure models beyond short-rate ones; and,

• Assessing object-oriented programming using Python for methodology implementation and various ad-hoc exploratory works including curve fitting, statistical modeling, and Monte-Carlo simulation.

If interested apply online at www.bankofamerica.com/careers or email your resume to bofajobs@bofa.com and reference the job title of the role and requisition number.

EMPLOYER:  Bank of America N.A.

Shift:

Hours Per Week: