Quantitative Research Analyst Resume

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Joseph Smith,
2, Brown Street, New York
Ph: 11244767668
Joseph@rediffmail.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.