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Quantitative Software Engineer - Multi-Asset Portfolio Management

Boston, MA 02210

Posted: 04/25/2018 Industry: Information Technology Job Number: 2001

Quantitative Software Engineer – Multi-Asset Portfolio Management

Our client, a global investment management company, is hiring a quantitative software engineer to support it’ s growing multi-asset investment strategy team. Specifically, the individual will directly support one of the team’ s Quantitative Portfolio Managers in each infrastructure development, data sourcing and modeling, and portfolio management duties.

The individual must possess strong object-oriented programming abilities (Python will be used heavily, but it' s favorable to bring real expertise in C++ or Java programming and relevant frameworks), overall strong software design skills, and a commercial focus. Investment management experience is a big plus but is not required.

  • Help refine architecture, build out supporting infrastructure, and contribute to rollout of new quantitative models
  • Complete complex analytical projects and statistical analyses across securities, asset classes and economic relationships
  • Build predictive models using various data sources to build out data-driven investment hypotheses
  • Assist with portfolio construction, factors, risk management, and trading analysis
  • Create visualizations and dashboard views using various data sets
  • Manipulate both structured and unstructured data
  • Research macroeconomic themes and factors

  • Bachelor’ s Degree in Computer Science, engineering, sciences, or related field
  • 3+ years of experience as a software developer supporting rapid paced delivery
  • Strong software design skills including object oriented and functional designs
  • Strong analytical and communication skills, both written and verbal are required.
  • Working knowledge of SQL and SQL performance tuning.   Direct experience with Oracle is a plus
  • Experience with Amazon Web Services including CloudFormation, Lambda, and EC2 is a strong plus
  • Must be comfortable with test driven development, continuous integration, and agile development methodologies
  • Experience in Financial Industry or mathematical background is a strong plus
  • Curiosity and ability to tackle problems creatively
  • Strong work ethic
  • Focus on continuous improvement
  • Willingness and ability to take risks and try new things
  • Strategic mindset
  • Self-initiative and ability and interest to learn independently and from peers
  • Ability to integrate and synthesize relevant information, and test hypotheses using statistics and modern data science techniques

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