Director; Sr. Quantitative Finance Analyst

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 is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

• Develop quantitative risk models, analytics, and applications in support of market risk assessment and regulatory capital calculation.
• Conducting analysis and verification on market data, risk metrics, and P&L time series.
• Prepare developmental evidence and documentation to support internal and external exams.
• Perform in-depth analysis on the bank's risk model results using various quantitative tools such as back testing, benchmarking, P&L attribution, and sensitivity analysis.
• Identify common themes across global markets along with improvement initiatives.
• Collaborate across teams including risk, capital, technology and model risk management for market risk time series analysis, data quality checking and thresholds determination and monitoring.
• Work on Stress testing for regulatory and market risk management purposes.
• Develop market risk or pricing models for financial products using time series and statistical analysis with understanding of risk drivers of price dynamics for financial products.
• Apply time series analysis techniques to model market data dynamics and to assess statistical inference and distribution.
• Perform model diagnostic, reviewing model conceptual soundness and assessing model performance.
• Use Python, C++, and object-oriented programming to write reusable and testable code to develop tools and improve process efficiency for reporting and calculation automation.
• Produce regulatory capital results and risk management metrics by following regulatory capital and risk management framework, and stress testing requirement.

• Master's degree or equivalent in Engineering (any), Computer Science, Mathematics, Statistics or related: and
• 5 years of experience in the job offered or a related Quantitative occupation.
• Must include 5 years of experience in each of the following:
• Developing market risk or pricing models for financial products using time series and statistical analysis with understanding of risk drivers of price dynamics for financial products;
• Applying time series analysis techniques to model market data dynamics and to assess statistical inference and distribution;
• Performing model diagnostic, reviewing model conceptual soundness and assessing model performance;
• Using Python, C++, and object-oriented programming to write reusable and testable code to develop tools and improve process efficiency for reporting and calculation automation; and
• Produce regulatory capital results and risk management metrics by following regulatory capital and risk management framework, and stress testing requirement.