About The Position

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. About BNY Investments: BNY Investments is a division of BNY, one of the world’s largest and most-trusted financial services groups. BNY Investments is a leading investment manager, with $2.1 trillion in assets under management as of June 30, 2024. Through an investor-first approach, the firm brings to clients the best of both worlds: specialist expertise from seven specialist investment managers offering solutions across every major asset class, backed by the strength, stability, and global presence of BNY. We’re seeking a future team member for the role of Senior Quantitative Researcher to join our Multi-Asset Solution.

Requirements

  • A Bachelors, Master’s or PhD degree in technical discipline.
  • 5+ years of experience in quantitative investment management focusing on alpha signals.
  • Expertise in sophisticated quantitative investment modeling techniques and knowledge of relevant academic literature – experience with machine learning preferred.
  • Strong knowledge of derivatives – experience with derivatives research preferred.
  • Experience with alternative datasets and intra-day financial data preferred.
  • Deep understanding of and intuition for financial markets and the macro environment.
  • Very strong coding skills in Python.
  • Strong ability to present sophisticated research results in a clear manner.
  • Team player with a passion for research and a sense of humility.

Nice To Haves

  • experience with machine learning preferred
  • experience with derivatives research preferred
  • Experience with alternative datasets and intra-day financial data preferred

Responsibilities

  • Lead quantitative research in macro investment strategies using sophisticated techniques with a focus on generating alpha.
  • Generate, research and implement investment ideas from A to Z, including – developing hypotheses, gathering and analyzing data, building sophisticated models and implementing research code.
  • Integrate traditional and alternative datasets.
  • Present research results in a clear manner to entire team and externally.
  • Communicate with other researchers, portfolio management, and research engineering to enhance research and portfolio management process.

Benefits

  • highly competitive compensation
  • benefits
  • wellbeing programs
  • flexible global resources and tools
  • generous paid leaves
  • paid volunteer time
  • medical, dental, vision, and basic life insurance plans
  • various paid time off benefits, such as vacation and sick time
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