Quantitative Analyst


The Solutions team leverages QS’ capabilities to develop innovative investment solutions tailored to meet client needs. These solutions are developed as part of a multi-disciplinary team bringing together expertise from research, portfolio management, and investment strategy. An in-house investment analysis and research platform is maintained by the group and is used to test and implement these investment strategies. The solutions group supports a variety of strategies including Tactical and Strategic Asset Allocation and Quantitative Equity.

Key Responsibilities Include
  • Developing client driven investment solutions and product development projects as part of a multi-disciplinary team
  • Platform development and maintenance: programming in Matlab to maintain and test existing capabilities and add new capabilities; and also maintain and extend a database covering various assets and investment strategies
  • Portfolio construction research: evaluate portfolio construction approaches and techniques through simulation
  • Risk modeling: maintain and test existing risk models and risk modeling methodologies, and develop and implement new approaches to risk modeling
  • Transaction cost modeling: maintain and test existing cost models, and develop and implement new approaches to transaction cost modeling
  • 2-5 years of experience
  • Strong programming skills with experience in Matlab or other statistical packages such as R, SAS, and SPlus. Object oriented programming experience a plus
  • The ideal candidate will have a graduate degree, and will have focused on either Finance or Economics in one degree and on one of Statistics, Applied Math, Operations Research, Engineering, or Computer Science in another; CFA a plus
  • Understanding of financial markets – particularly from a multi-asset perspective
  • Excellent interpersonal skills; enjoys working as a member of a team as well as on an individual basis
Apply to This Position

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