Quantitative Finance Analyst

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!

• →Highly numerical degree (Masters required; PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics or Engineering
• →Some experience in developing, documenting & maintaining risk and/or capital models and handling large datasets
• →Technical skills: Statistics, Probability Theory, Econometrics, Financial Mathematics
• →Strong programming skills; SQL, Python, VBA, Latex
• →Strong technical writing and clear verbal communication skills
• →Experience of, and ability to work under pressure and deliver to tight deadlines
• →Ability to work independently, multitask and properly prioritize work
• →Curiosity and willingness to develop and work on new ways of modelling

• Experiences in the areas of financial risk modelling, loss forecasting etc. preferred
• Knowledge of regulatory guidelines including CCAR, DFAST, CECL, ICAAP.
• Strong stakeholder engagement skills with an ability to work with colleagues in other functions (business, risk and model validation)
• Organized, practical and execution focused with some project management experience
• Self-motivated and intellectually curious about both the role, supporting technologies and the wider bank
• Experience with LaTeX