Multi-Asset Quantitative Researcher, Vice President

BNY Mellon

$87K — $121K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's, Master's or PhD in a technical discipline
  • 3+ years in quantitative investment management focusing on alpha signals
  • Expertise in quantitative modeling and relevant academic literature
  • Strong knowledge of derivatives and experience in derivatives research
  • Experience with alternative datasets and intra-day financial data
  • Deep understanding of financial markets and macro environment
  • Strong coding skills in Python

Responsibilities

  • Lead quantitative research on macro investment strategies
  • Research and implement investment ideas, from hypothesis to execution
  • Integrate traditional and alternative datasets into analysis
  • Present research results clearly to the team and external stakeholders
  • Collaborate with researchers, portfolio management, and engineering to improve processes

Benefits

  • Highly competitive compensation package
  • Flexible global resources and tools for employee wellbeing
  • Generous paid leaves, including paid volunteer time
  • Focus on health and personal resilience
  • Support for achieving financial goals
Full Job Description
Multi-Asset Quantitative Researcher, Vice President We're seeking a future team member for the role of Multi-Asset Quantitative Researcher at Vice President level to join BNY Investments. This role can be based in our Boston, MA, or New York City office. 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. To be successful in this role, we're seeking the following: • A Bachelors, Master's or PhD degree in technical discipline. • 3+ 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. Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $87,000 and $121,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

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