Associate - US Equity Derivatives Strategist
New York, New York
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Job Description:
The Global Equity Derivatives Research team within Global Research at Bank of America is consistently top-ranked in Extel/II surveys, with 15+ analysts across New York, London, Paris, Dubai, Hong Kong, and San Francisco. The team operates across a broad and dynamic mandate, ranging from framing macro through the lens of cross-asset volatility to generating tactical and systematic trade ideas across the full linear and nonlinear equity derivatives spectrum.
The team is seeking a New York-based, client-facing strategist to help produce actionable derivatives ideas, build positioning and flow analytics, manage complex datasets, and communicate ideas clearly in both written and verbal formats. The team values creative, well-formed conjectures about how markets work, paired with the intellectual and quantitative discipline required to rigorously test and validate them. The ideal candidate will have a strong quantitative foundation, at least two years of relevant industry experience, and proficiency in programming. The role offers significant collaboration with sales, structuring, and trading, as well as regular engagement with global institutional clients, and positions the strategist at the center of idea generation, market commentary, and investor dialogue.
Responsibilities:
Frame macro through the lens of volatility, linking policy, positioning, and psychology to market dynamics and the pricing of risk across asset classes
Structure tactical macro, catalyst-driven, and dislocation-driven derivatives trades to help investors efficiently hedge and generate alpha with asymmetry
Identify structural dislocations in derivatives markets and design leading-edge strategies that systematically exploit these risk premia under real-world constraints
Develop nuanced models of option market and quant fund positioning, flows, and market impact to inform both tactical and strategic views
Produce regular research reports on the equity derivatives market
Build, maintain, and quality-control large and diverse datasets, including volatility, correlation, option pricing, Greeks, and positioning indicators
Collaborate closely with partners across the broader sales, trading, and research teams to deliver actionable insights
Engage clients through meetings, calls, industry events, and timely responses to market developments
Qualifications:
Strong academic foundation in quantitative finance, financial engineering, applied mathematics, statistics, or related discipline (Master's degree preferred)
2-4 years of relevant experience in equity derivatives and/or quantitative investment strategies across research, structuring, trading, or portfolio construction
Advanced proficiency in quantitative analysis and statistics, including time-series analysis and handling large, complex, or high-frequency datasets
Strong programming skills, preferably in Python; exposure to SQL and proficiency in Excel
Experience integrating AI/ML techniques into research, modeling, or workflow automation
Excellent written and presentation skills, with the ability to explain complex quantitative concepts clearly and visually to both technical and non-technical audiences
Exceptional attention to detail, demonstrating accuracy, consistency, and sound intuition to complement rigorous mathematical analysis in a fast-paced environment
Fluency in English
Shift:
1st shift (United States of America)
Hours Per Week:
40
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
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