Vice President; Quantitative Finance Analyst
About the role
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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success.
This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types.
Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products. Responsibilities: Participate in research, development, and implementation of credit risk concentration models. Perform econometric analyses to support methodology development. Conduct on-demand analyses of model output and changes.
Provide ongoing production support for models in use. Develop a practical understanding of credit risk trends (e.g., financial performance of counterparties), concentrations (industry, country, and single-name). Analyze macroeconomic indicators and recommend key credit portfolio decisions for senior management and Boardlevel discussions. Collaborate with global teams to provide analytical support for leadership decision-making. Perform data exploration analyses on large datasets and pull insights to support portfolio management decisions.
Perform financial modeling, analysis, and data collection, as well as interpret market and portfolio information, statistics, and pricing. Analyze and evaluate large and complex economic and financial datasets using analytical tools such as Python, SQL, and R. Use big data technologies like SQL to handle large volumes of data produced by complex financial forecasting models. Implement advanced high-performance Python code for large-scale distributed computing environments in Apache Spark and Hadoop/HIVE to develop scalable, reusable analytical and quantitative models.
Utilize current modeling and data science principles, including time-series analysis and machine learning, to develop loan loss modeling frameworks. Remote work may be permitted within a commutable distance from the worksite. Required Skills & Experience: Master's degree or equivalent in Finance, 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: Building scalable, production-grade analytical framework using Python large-scale distributed computing environments in Apache Spark and Hadoop/HIVE, SQL, Tableau, Alteryx including development of modular, reusable model components and automation of end-to-end data processing workflow; Developing and deploying financial forecasting models including implementation of monitoring routine, performance diagnostics, testing, and investigation of model outputs; Performing time-series analysis, multivariate regression, and econometric
modeling on large financial datasets to identify structural, cyclical, and trend-based risk dynamics; Applying advanced statistical, econometric, and machine learning techniques to develop quantitative forecasting and risk measurement frameworks supporting enterprise-level portfolio and capital management processes; and, Integrating and analyzing diverse financial and alternative datasets—including market activity, firm level microeconomic indicators, sector performance metrics, consumer behavior trends, and macroeconomic variables—to support advanced quantitative risk assessment and
concentration analysis. 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 - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540) 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. Privacy Statement: https://careers.bankofamerica.com/en-us/privacy-notice 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! Partnering Locally Learn about some of the ways Bank of America is making a difference in the communities we serve. Global Impact Learn about the six areas that guide Bank of America’s efforts to help make financial lives better for customers, clients, communities and our teammates.
Opportunity and Inclusion Each employee brings unique skills, background and opinions. We see opportunity and inclusion as our platform for innovation and a key component in our success. Our Values Learn about our four values that represent what we believe. Pay Transparency: https://careers.bankofamerica.com/en-us/pay-transparency
Minimum requirements
- Master's degree in Finance, Statistics, Mathematics, or related field with 2 years of relevant quantitative experience.
- 2 years experience building scalable analytical frameworks using Python, Apache Spark, Hadoop/HIVE, SQL, Tableau, and Alteryx.
- 2 years experience in financial forecasting models, time-series analysis, econometric modeling, and applying machine learning techniques for risk assessment.
This listing was parsed by AI and may not be complete. Check the official posting on Bank of America's site for the most accurate information.