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 an 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.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

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

Responsibilities:

Perform enhancement of pricing and risk models to incorporate new market or products features.

Conduct quantitative analysis of the current markets, trends and trading strategies.

Perform numerical analysis of existing models and implement and test performance enhancements.

Investigate and improve equity derivatives models, analytics, and trading strategies.

Generate required documentation and testing to support model risk management ongoing model review and validation.

Work with front office technology teams to integrate models into the trading and risk systems.

Leverage applied mathematical concepts including Monte Carlo Simulations to trading analytics and equity derivatives pricing models, and uncovering risks and opportunities relative to derivatives portfolio management and hedging.

Utilize statistical analysis to support trading strategy, equity stock and volatility market dynamic and day to day pnl analysis.

Use Python and C++ to develop trading strategy backtesters, derivatives risk scenario tools, and volatility surface fitting models for trading desk.

Develop and evaluate quantitative modelling and analytics projects in risk analytics.

Optimize the variance swap pricing and booking process for dispersion business to enhance risk calculation efficiency resulting in faster performance and more accurate hedging strategies, ultimately improving overall risk management.

Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience:

Master's degree or equivalent in Mathematics, Engineering (any), Statistics, or related: and

3 years of experience in the job offered or a related Quantitative occupation.

Must include 3 years of experience in each of the following:

Leveraging applied mathematical concepts including Monte Carlo Simulations to trading analytics and equity derivatives pricing models, and uncovering risks and opportunities relative to derivatives portfolio management and hedging;

Utilizing statistical analysis to support trading strategy, equity stock and volatility market dynamic and day to day pnl analysis;

Using Python and C++ to develop trading strategy backtesters, derivatives risk scenario tools, and volatility surface fitting models for trading desk;

Developing and evaluating quantitative modelling and analytics projects in risk analytics;

Optimizing the variance swap pricing and booking process for dispersion business to enhance risk calculation efficiency resulting in faster performance and more accurate hedging strategies, ultimately improving overall risk management.

If interested apply online at www.bankofamerica.com/careers or email your resume to bofajobs@bofa.com and reference the job title of the role and requisition number.

Employer: BofA Securities, Inc.

Shift:

Hours Per Week: