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:

• Measure counterparty credit risk for all lines of businesses in the Markets division covering all traded products.
• Participate in constructing counterparty credit risk portfolio reviews along with specialized deep dives on specific counterparties.
• Leverage expertise in counterparty credit risk management and traded products to highlight areas that warrant additional investigation, monitoring and discussion.
• Perform analysis which will encompass a range of counterparty exposure management techniques such as potential future exposure, stress testing sensitivity analysis, wrong way risk, and CVA.
• Maintain strong risk discipline and demonstrated ability to working across a variety of functions including trading, sales and credit risk.
• Analyze and evaluate large and complex economic and financial datasets with analytical tools of Python, SQL, and R.
• Use big data technologies SQL to handle and process large volumes of data produced by multiple data sources.
• Develop and evaluate historical quantitative modeling and analytics projects in risk analytics and financial forecasting leveraging R and Python.
• Employ data analytics and visualization tools of Tableau and VBA macros to build easy access analytical capabilities.
• Implement advanced high-performance Python code for automation on the data generation, visualization of the reporting and auto distribution to management.
• Remote work may be permitted within a commutable distance from the worksite.

REQUIRED SKILLS & EXPERIENCE:

• Master’s degree or equivalent in Finance, Mathematics, Statistics, or related; and
• 2 years of experience in the job offered or a related quantitative occupation.
• Must include 2 years of experience in each of the following:
• Analyzing and evaluating large and complex economic and financial datasets with analytical tools of Python, SQL and R;
• Using big data technologies SQL to handle and process large volumes of data produced by multiple data sources;
• Developing and evaluating historical quantitative modeling and analytics projects in risk analytics and financial forecasting leveraging R and Python;
• Employing data analytics and visualization tools of Tableau and VBA macros to build easy access analytical capabilities; and
• Implementing advanced high-performance Python code for automation on the data generation, visualization of the reporting and auto distribution to management.

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:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100) Pay and benefits information Pay range - annualized salary, offers to be determined based on experience, education and skill set. Benefits This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.