Mellon is a global multi-specialist manager dedicated to serving our clients globally with a full spectrum of single and multi-asset investment strategies and solutions. With roots dating back to 1933, Mellon has been innovating across asset classes for generations and has the combined scale and capabilities to offer clients a broad range of solutions. From asset class expertise to broad market exposures, clients drive what we do. We are holistic in approach, client driven and committed to investment excellence. We aim to be a key partner for our clients by delivering customized investment outcomes and best-in-class service.
The Research Analyst, Asset Allocation contributes to research leveraged to produce strong investment management performance and drive Alpha. He/She will be working with moderate direction from a senior research analyst. No direct reports.
The Research Analyst will be responsible for generating and evaluating investment ideas for forecasting risk and return characteristics of investments. Additionally, the Research Analyst will perform analysis from the top-down investment perspective; rigorously formulate and test fundamental hypotheses against empirical data; review, evaluate and modify current academic and industry research for use in our investment models; communicate with other researchers, portfolio management and trading desk to enhance research and portfolio management process; support senior individuals with client and marketing requests which require research.
Bachelor's degree or the equivalent combination of education and experience is required.
The qualified candidate will possess excellent quantitative skills, including formal training in econometrics or statistics. The incumbent will ideally possess an advanced degree (MBA, Master's/PhD in finance, accounting, economics, engineering, or allied field) along with 1-3 years of investment experience. The incumbent should have strong programming skills and an active interest in the application of computer technology to financial research and portfolio management. Must be able to work independently, have a strong sense of fundamental financial drivers of investment valuation and have experience with Matlab, R and/or Python or similar statistical software.