Sample Quantitative Research Analyst Resume

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Michael Jubing
2541, East 34 Street,
Carlisle, MA 18978,
(555)-323-9990.
Email: michael.jubing@gmail.com

Career Objective:
A highly qualified and experienced quantitative research analyst seeking a position in a top-notch finance company that will utilize the skills I have obtained through previous work experience.

Soft skills:

  • Superior interpersonal skills.
  • Strong communication skills.
  • Advanced statistical analysis skills.
  • Strong quantitative and analytical skills.
  • Interact positively with team members and clients.

Summary of Qualifications:

  • 5+ years work experience in the financial services industry.
  • Proficiency with Microsoft Excel.
  • Programming experience in Python, Visual Basic, or C, C++, C#.
  • Strong technical knowledge.
  • Demonstrated ability to drive projects to completion and document research results.
  • Experience in quantitative equity research using market data.

Educational Qualification:

Bachelor’s degree in economics, California University, 1992
Master’s degree finance, California University, 1994
PhD in finance, California University, 1996

Professional Experience:

Eka Finance – NYC, NY
1999-2003
Quantitative Research Analyst
Position Description:

  • Developed large scale datasets.
  • Performed descriptive analyses.
  • Developed and enhanced models for stock selection.
  • Built clearly understandable stock ranking models.
  • Built and tested intuitively satisfying quantitative stock ranking models.
  • Worked within the global research team and interact heavily with the portfolio management teams.

Sphere Institute, NY
1996-1999
Research Analyst (Researching and consulting in the areas of health)
Position Description:

  • Developed cutting-edge models and conducted innovative investment research.
  • Identified strategies for pay-for-performance in public health insurance.
  • Reduced risk of harm for individuals with developmental disabilities.
  • Interacted with project officers and other government agency representatives and clients to access data and program information.
  • Developed research files from large confidential datasets, such as health care claims, school records.
  • Conducted statistical and econometric analyses of data using statistical software.
  • Worked with senior researchers on analysis and evaluation.