Quantitative Finance Analyst
Company: Bank of America
Location: Charlotte
Posted on: April 1, 2026
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Job Description:
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! As a Quantitative Finance Analyst on
operational risk in the Risk Analytics team, your main
responsibilities will involve: • Applying quantitative methods to
develop models on operational risk that meet line of business, risk
management and regulatory requirements • Maintaining and
continuously enhancing models and related processes, such as model
execution and ongoing monitoring, over time to respond to the
changing nature of portfolios, economic conditions and emerging
risks • Understanding and executing activities that form the
end-to-end model development and use life cycle • Clearly
documenting and effectively communicating quantitative methods as
part of ongoing engagement with key stakeholders, including the
lines of business, risk managers, model validation, technology
Position Overview • Responsible for independently conducting
quantitative analytics and modeling projects on operational risk.
Responsible for developing new models, analytic processes or
systems approaches on operational risk stress testing and capital
estimation. Creates documentation for all activities and works with
Technology staff in design of any system to run models developed.
Incumbents possess excellent quantitative/analytic skills and a
broad knowledge of financial markets and products.
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 Supports 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 Supports model development and model
risk management in respective focus areas to support business
requirements and the enterprise's risk appetite Supports the
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 Skills: Critical Thinking Quantitative Development Risk
Analytics Risk Modeling Technical Documentation Adaptability
Collaboration Problem Solving Risk Management Test Engineering Data
Modeling Data and Trend Analysis Process Performance Measurement
Research Minimum Education Requirement: Master’s degree in related
field or equivalent work experience Desired Skills: • 2 years of
experience in model development, statistical work, data analytics
or quantitative research or PhD • Strong Programming skills e.g.
Python, R, SQL or other languages • Knowledge of predictive
modeling, statistical distribution, monte calo simulation, machine
learning and artificial intelligence techniques • Strong technical
writing, communication and presentation skills and ability to
effectively communicate quantitative topics with non-technical
audiences • Experience with operational risk • Effective at
prioritization/time and project management • Broad understanding of
financial products Shift: 1st shift (United States of America)
Hours Per Week: 40
Keywords: Bank of America, Burlington , Quantitative Finance Analyst, Accounting, Auditing , Charlotte, North Carolina
