Research Analyst, Asset Allocation (Junior Quant Analyst)
BNY MELLON
San Francisco, CA, United States
3d ago

Description

Mellon is a global multi-specialist managerdedicated to serving our clients globally with a full spectrum of single andmulti-

asset investment strategies and solutions. With roots dating back to1933, Mellon has been innovating across asset classes for generations and hasthe combined scale and capabilities to offer clients a broad range ofsolutions.

From asset class expertise to broad market exposures, clients drivewhat we do. We are holistic in approach, client driven and committed toinvestment excellence.

We aim to be a key partner for our clients by deliveringcustomized investment outcomes and best-in-class service.

The Role :

The Research Analyst, Asset Allocation contributesto research leveraged to produce strong investment management performance anddrive Alpha.

He / She will be working with moderate direction from a senior research analyst. No direct reports.

The Research Analyst will be responsible forgenerating and evaluating investment ideas for forecasting risk and returncharacteristics of investments.

  • Additionally, the Research Analyst willperform analysis from the top-down investment perspective; rigorously formulateand test fundamental hypotheses against empirical data;
  • review, evaluate andmodify current academic and industry research for use in our investment models;communicate with other researchers, portfolio management and trading desk toenhance research and portfolio management process;
  • support senior individualswith client and marketing requests which require research.

    Basic Qualifications :

    Bachelor's degree or the equivalent combination of education and experience is required.

    Preferred Qualifications :

    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.

    LI-MF1

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