Job Description:

The Global Convertible Bonds Strategy group sits within BofA Global Research’s broader Global Equity Derivatives Strategy team and is responsible for developing strategies, assessing market trends, and servicing the needs of institutional convertible bond investors and arbitrageurs across the globe. The global convertibles market has rapidly expanded in the age of AI and has undergone significant shifts, including the growth of hedged strategies and a greater focus on volatility.

The team is seeking someone with a strong quantitative background to help produce trading and hedging strategies, develop valuation models, manage complex datasets, and communicate ideas to clients both written and verbally. The ideal candidate will have a strong academic background (preferably in quantitative areas of study), at least 2 years of relevant industry experience, and proficiency in programming. The candidate will work directly with the senior convertibles analyst and broader equity derivatives team in all aspects from idea generation to investor meetings.

Responsibilities:

Use quantitative and data-driven analysis to develop trading strategies and thematic investment research focused on the global convertible bond market for both outright money managers and hedge fundsPerform quantitative financial modeling and valuation, with a focus on equity options and creditClosely follow global convertible bond market developments, trends, and themesHelp formulate and write regular research reports on the global convertible bonds marketDevelop and maintain large datasets with multiple types of data, including equity and credit pricing, company fundamentals, volatility, option greeks, and fund flowsEngage regularly with partners across the broader sales, trading, research, and banking teamsPresent client-facing work externally in investors meetings, conference panels, and industry events

Qualifications:

Bachelor’s degree in quantitative finance, financial engineering, or mathematics or equivalent years of experience2-4 years of experience in convertible bonds or equity derivatives research, sales, trading, banking, or portfolio managementAdvanced proficiency in quantitative analysis, statistics (for instance, time series methods), and data science, and experience working with complex datasetsStrong programming skills, preferably in Python, VBA, and ExcelAbility to employ AI and machine learning models into workflowsStrong communication skills, both written and verbalFluency in EnglishAttention to detail, ability to multi-task, and able to function in a collaborative team environment

Shift:

1st shift (United States of America)

Hours Per Week: 

40