Senior Quantitative Finance Analyst

99-7777827 Bank of America N.A. - Chicago, IL

Full-time - Mid Level

Chicago, IL

About the position

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! This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.

Responsibilities

• Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers.
• Leads the planning related to setting quantitative work priorities in line with the bank's overall strategy and prioritization.
• Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation.
• Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite.
• Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk.
• Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes.
• Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches.

Requirements

• Master's degree in related field or equivalent work experience.
• 5+ years' experience working in quantitative modelling on behalf of a global financial institution.
• Experience with mathematically sophisticated financial modelling.
• Ability to express technical concepts clearly in written and spoken English.
• Programming skills: key languages are C++ and Python; a solid understanding of sound software development principles.
• Up-to-date knowledge of industry trends and developments, a commercial instinct, and an understanding of sound risk management principles.
• Good written and oral communication, interpersonal and organizational skills and ability to build and maintain relationships with personnel across areas and regions.
• Ability to multitask with excellent time management skills.
• Sense of focus and rigor in the completion of deliverables.
• Pro-active behavior with capacity to seize initiative.

Nice-to-haves

• Experience in risk analytics and risk modeling.
• Familiarity with regulatory requirements such as CCAR and CECL.
• Knowledge of data management and model performance monitoring.

Benefits

• Competitive benefits to support physical, emotional, and financial well-being.
• Opportunities for learning and career growth.
• Flexible work arrangements.