Job DescriptionAt 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. Bank of America believes both in the importance of working together and offering flexibility to our employees. 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.

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 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 Responsible for independently conducting quantitative analytics and modeling projects on operational risk. Responsible for developing recent models, analytic processes or systems approaches on operational risk stress testing and capital estimation. 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 Risk Analytics Risk Modeling Technical Documentation Risk Management Test Engineering Data Modeling Data and Trend Analysis Process Performance Measurement Minimum Education RequirementMaster’s degree in related field or equivalent work experience 2+ years of experience in model development, statistical work, data analytics or quantitative research or PhD Strong Programming skills e.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 Shift1st shift (United States of America)

📌 Quantitative Finance Analyst (Winnipeg)
🏢 Bank of America
📍 Winnipeg