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Research and Development Associate - Class of 2018 Data and Innovation Group, Scientific Implementation - Paris

Paris, France

Job Description:

Bank of America Merrill Lynch – Data and Innovation Group, Scientific Implementation

R&D Associate

The Bank of America Merrill Lynch R&D Center in Paris aims to further develop research and innovation initiatives within Bank of America. The Center in conjunction with relevant global groups at Bank of America Merrill Lynch focuses on the increase of research capabilities of the franchise, provides further bandwidth to investigate new strategies and methods, and contributes to the increase of market position in innovation-related fields. The underlying scientific approach is cutting edge. Teams pursue projects on the research frontier; they develop new ideas or investigate an unanswered scientific question. The scope of the projects varies from asset pricing topics to market microstructure and portfolio optimization.


Associates at the Bank of America Merrill Lynch R&D Center in Paris are recent graduates with a PhD qualification and research experience in the fields of financial economics, data science and machine-learning, and applied mathematics. Research associates are expected to work on cutting edge research projects related to their area of expertise. They work independently or as part of teams and take a leading role in generating new project ideas and initiatives Active engagement with the broader team in the communication and promotion of their team’s work is an important part of the role. Part of the Academic Research produced by the team is expected to be published in top academic and practitioners’ journals (Journal of Finance, Journal of Financial Economics, Review of Financial Studies, Financial Analysts Journal, Journal of Portfolio Management, or other journals of similar recognition and impact factor). Research associates report to research supervisors with whom they discuss about the progress made in the projects and next steps in the process.


  • Excellent academic background with a doctoral degree in one of the following principles: Financial Economics (Macro-finance, Asset Pricing, Microstructure), Econometrics, Data Science, Machine-learning, Computer Science, Applied Mathematics, and Applied Physics
  • Ability to independently carry out quantitative analysis projects starting from idea generation to delivering final deliverables
  • Reliable and capable of delivering high-quality work on time
  • Experience in empirical work and ability to handle large datasets
  • Sound economic/financial intuition and enthusiasm about implementing new ideas
  • Excellent written and verbal communication skills
  • Creativity and ability to work independently or in a team as well as strong interpersonal communicational skills
  • Extensive programming skills in statistical/computational environments such as Python, or R. Knowledge of Matlab, Stata, SQL, LaTeX is desirable

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Full time


Manages People: No


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Street Address

Primary Location:
49-51 Rue La Boetie, Paris, 75008