Senior Quantitative Researcher, Vice President

BNY Mellon

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 In this role, you’ll make an impact in the following ways: 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.

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.
Strong knowledge of derivatives.
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.