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Quantitative Developer

  • Location: Boston, MA
  • Job Type: Direct Placement
  • Ref No: 19-04295
  • Date: July 12, 2019
  • Job title:



Kathrine Mahoney

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Job Description - Quantitative Developer

Senior Quantitative Developer

Our Client is a major investment firm with a specific group,Strategic Advisers, Inc. (SAI) is a fast growing fund of funds managed account business currently with $250 billion in assets under management. One of SAI’s core goals is to create customization at scale for our hundreds of thousands of clients. Over the next several years we expect quantitative development to play a very significant role by leveraging technology to achieve our goals and therefore will offer immense growth opportunities for the quantitative development associates.

The Purpose of Your Role

Quantitative Developer is a core software engineering role in our dynamic and fast-paced quantitative development team. You will be ‘embedded’ within the quantitative research team and you will partner with the investment teams on various projects including portfolio construction, risk management, and alpha research. You will create high quality, robust, and efficient analytical solutions that will be used to enhance SAI’s investment processes.

The Expertise We’re Looking For

The successful candidate for this role will partner with the fundamental and quantitative investment research teams to co-develop, validate and implement new research ideas with proof-of-concept, prototype, and production solutions. The candidate will be responsible for employing agile methodologies to conceptualize the ideas, using mostly R and SQL to then package the concepts into meaningful and effective solutions. To be successful in the role s/he should have a good understanding of advanced quantitative techniques and methods, statistics and econometrics, as well as a proven track record in hands-on development of analytical solutions.

  • Bachelor’s Degree in a quantitative or computational field such as Statistics, Computer Science or Applied Mathematics
  • Minimum of 3 years’ experience working with analytical models and partnering with investment professionals focused in either Equity or Fixed Income asset classes.
  • Domain knowledge in either equities or fixed income asset classes
  • Good understanding of advanced quantitative techniques and methods, statistics and econometrics   including probability, linear regression and time series data analysis
  • Proven track record in hands-on development of analytical solutions
  • Full-stack software development knowledge.
  • Technical and programming skills including R, Java, SQL and Linux.
  • Ability to effectively communicate with multiple stakeholders, including fundamental and quantitative researchers, technology partners and senior management


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