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.
• Provide a micro and macro view of risk management in a particular business line and for the bank as a whole.
• Apply quantitative credit analytics, risk management techniques, fixed income and derivative valuation to support various business lines.
• Perform balance sheet management, credit risk quantification, financial engineering, quantitative financial modeling, risk management, and/or trading operations and support.
• Develop emerging risk assessments, analyzing credit risk scenarios, as well as modeling some of our key risk factors.
• Assess market trends and providing quantitative data for internal partners and clients.
• Develop and test machine learning/AI development models & algorithms, including SVM, Clustering, Random Forest, XGBoost, NLP/NLU, and Pattern Recognition to identify and classify quantitative patterns.
• Implement advanced high-performance Python code for large-scale distributed computing environments such as Apache Spark, Hadoop/HIVE to develop scalable, reusable analytical and quantitative models.
• Create in-house data mining, data processing and data analytical and visualization tools using Python and Tableau to gain business insight from the data.
• Use JIRA to track projects tasks and deadlines in the context of software development.
• Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience:

• Master's degree or equivalent in Engineering (Any), Operations Research and Information Engineering, Statistics, Mathematics, 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:
• Developing and testing machine learning/AI development models & algorithms, including SVM, Clustering, Random Forest, XGBoost, NLP/NLU, and Pattern Recognition to identify and classify quantitative patterns;
• Implementing advanced high-performance Python code for large-scale distributed computing environments such as Apache Spark, Hadoop/HIVE to develop scalable, reusable analytical and quantitative models;
• Creating in-house data mining, data processing and data analytical and visualization tools using Python and Tableau to gain business insight from the data; and
• Using JIRA to track projects tasks and deadlines in the context of software development.

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