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Sr Analyst/Associate – ESG Quantitative Research

Website Bank of America

Bank | Asset Manager

Job Description:

  • Conduct ESG factor backtesting for BofA proprietary data as well as third party data to develop investment strategies.
  • Develop and maintain databases and indicators integral to our research products.
  • Closely monitor and interpret fund flows and factor rotation and relay to senior analysts.
  • Work closely with our global ESG research team and analyze implications of ESG attributes in investment processes.
  • Provide views on how to incorporate ESG in the investment process.
  • Produce collaborative reports with fundamental analysts and across asset classes.
  • Build relationships and facilitate information flow with contacts across the BofA platform.
  • Participate and contribute to client meetings and events, be comfortable talking to clients/presenting our research views.
  • Attend meetings and interact with key opinion leaders.
  • Seek out new, value-added, and/or off-the-beaten-path sources of information to generate new research ideas.
  • Leverage our robust network of industry contacts.

Qualifications as a must:

  • Interest and experience in ESG investing/sustainable investing
  • Masters of higher degree in finance or quantitative fields (Financial engineering/quant finance, physics, mathematics, etc.)
  • Minimum 1-2 years of related work experience preferred
  • Must have excellent attention to details, ability to multi-task
  • A team player – must work well in a collaborative team environment
  • Strong writing and Microsoft Excel skills
  • Be creative in seeking out new research ideas and willing to learn
  • Entrepreneurial, proactive, willing to take ownership / responsibility of quantitative research products
  • Able to thrive in a fast-paced and intense environment
  • Strong communication skills, written and verbal

Qualifications with a plus:

  • Experience in equities, interests in both fundamental and quantitative research
  • Experience in using FactSet backtesting tools (Alpha Testing, etc) and Bloomberg
  • Ability to use Python/R/SQL or other programming skills to conduct data analysis
  • Experience in back-testing investment strategies, working with alternative datasets