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Senior equity derivatives strategist role in Hong Kong with BofA, driving systematic alpha and hedging for global institutional clients.
Apply deep quantitative finance skills in research, programming, and client engagement for impactful strategies.
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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description
Responsibilities
This is a unique client-facing role in the Asia Pacific equity derivatives and cross asset quant investment strategy team within Global Research at BofA
The successful candidate will help the team develop derivatives trade ideas for global institutional clients, formulate views on volatility and devise efficient hedging strategies
They will also develop and publish on leading-edge quantitatively-driven systematic strategies for alpha generation and hedging alike, as well as portfolio overlay solutions across equities, derivatives and fixed income
Apart from strategy development and contributing to wide-ranging derivatives/quant research published by the broader team, the role involves internal engagement with structuring, sales, and trading teams, as well as external exposure to a broad set of institutional clients
Requirements
Strong academic background in quantitative finance, financial engineering, mathematics or Physics (e.g. Advanced Masters degree or PhD)
Advanced proficiency in quantitative analysis and statistics including time series and big / complex datasets
Strong programming skills, preferably in Python, R, Matlab, VBA, SQL etc, and Excel
Fluency in English is essential
Effective written and presentation skills – a key asset for a quant researcher is not only to write but also to explain complex concepts in simple terms
Candidates should have a keen eye for detail – accuracy, consistency and intuition to back-up mathematical rigour is crucial in this fast-paced environment
Candidates must show a long-term interest in the field of quantitative finance and demonstrate achievements towards their pursuit of a career in this field
Prior experience of developing and backtesting quantitative investment strategies would be preferred. For example: in Equities, including Equity Derivatives, Risk premia / factor-based investing
Exposure/experience in applying machine learning, natural language processing or advanced information theory would be a plus
The candidate would benefit from having prior experience of back-testing and/or portfolio construction in any asset class under real world constraints (e.g. liquidity criteria, transaction costs, rebalancing thresholds, etc)