Job Purpose:

  • We are seeking an applied scientist to join an active research team focused on index design among various asset classes and investing strategies
  • The successful candidate will be responsible for developing a research platform that enables exploration of new ideas and improving research productivity
  • It is expected they will also collaborate and advise on multiple research initiatives
  • A successful candidate will be also be passionate about our area of domain expertise – the opportunity to offer data-driven approaches to investment and portfolio construction.

Your Responsibilities:

  • Develop an integrated research platform for identifying investment signals, constructing portfolios and quantifying portfolio characteristics
  • Participate in index and ESG research projects
  • Collaborate with a diverse group of researchers and with data, product and engineering teams to encourage development and broad re-use of common tools
  • Communicate clearly through face-to-face meetings, presentations and written publications
  • Deliver complex projects with multiple stakeholders
  • Perform literature reviews and keep apprised of trends in data science and quantitative investment strategies.

Skills and Qualifications:

  • The candidate should have expertise in the theory and implementation of quantitative analysis techniques, including knowledge and experience with a range of data sources and statistical analysis
  • The candidate must also have experience in implementing data and analytics platforms in Python
  • Additionally, the candidate should have either the knowledge or ability to learn techniques related to portfolio construction and sustainable finance analysis
  • Master’s or PhD degree in Computer Science, Engineering, Mathematics, Statistics, or a similarly quantitative field
  • Expertise with data models, data structures and algorithms
  • Ability to design for efficient, scalable computation
  • Experience with statistical models that apply cross-sectional and time-series econometrics, dimensionality reduction, and optimization techniques
  • Fluency with Python, GitHub and the software development lifecycle
  • Proficiency with Unix shell environments
  • 3+ years of experience working on a team dealing with data-intensive modeling.

Source: for more information click here.