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, through mainly Python or Javascript, reliable analytics, applications, and tools to automate and facilitate daily processes of the Exotics trading desk.
• Complete projects that deal with Pricing, Risk, and Execution (including calibrate overhedges to match stochastic model impacts, solve for a hedging portfolio to cancel rates risk, or develop email pricers to seamlessly price and book products).
• Leverage Financial Engineering, Coding, and Maths to tackle a wide variety of challenges the desk faces.
• Communicate with other teams on a regular basis (Quants, Sales, Structuring, and Technology) in a clear and concise manner to deliver products beneficial to the whole trading floor or request various products and asks.
• Help new joiners get acquainted with projects, code base, in-house tools, and applications.
• Design and develop code in C++, Python, and JavaScript to conduct equity derivative pricing, overhedge management, and yield curve risk analytics.
• Program in Python to develop skills for email based auto-pricing, auto-booking, and autodocs-generation.
• Build infrastructure to quote Fixed Index Annuities products systematically.
• Code using object databases, parallel computing, and events-based development.
• Analyze risk management aspects of equity exotics (light exotics, retail products), including variance minimization of outright risk through market implied scenarios.
• Use Dash and iPywidgets for visual representation of quantitative data and UI building.

• Master's degree or equivalent in Finance, Math or Engineering (any) or related; and
• 5 years of progressively responsible experience in the job offered or a related Finance occupation.
• Must include 5 years of experience in each of the following:
• Designing and developing code in C++, Python, and JavaScript to conduct equity derivative pricing, overhedge management, and yield curve risk analytics;
• Building infrastructure to quote Fixed Index Annuities products systematically;
• Coding using object databases, parallel computing, and events-based development;
• Analyzing risk management aspects of equity exotics (light exotics, retail products), including variance minimization of outright risk through market implied scenarios; and,
• Using Dash and iPywidgets for visual representation of quantitative data and UI building.