Experienced Quant Developer with excellent academics ideally an advanced degree/PhD in computer science, engineering, physics, mathematics or equivalent, is sought by leading Global Asset Management house, to work in their Global Equity Research Team, which plays a central role in the development of new equity strategies and ensures existing funds are aligned with the core investment process. The successful applicant will be involved in the ongoing development of their active equity research platform, assist in the continual improvement of the global investment process by performing quantitative analysis, data analysis, tooling development and research projects as well as maintaining the core research framework and applications to support both the active and passive investment team’s portfolio construction and investment decisions. Additionally, responsibilities will include ensuring the
architecture, design and development of desk-top, decision-support tooling to facilitate informed Fund Manager decision-making.
Extensive programming experience in C# and ideally, R, Python or Matlab is preferred together with a good understanding of solid development principles and exposure to Big Data, relational databases and data visualisation. Other experience should include the design and implementation of fully integrated back to front end platforms and a solid understanding of portfolio construction and investment strategy analysis; experience of buy-side equities is essential. Candidates must demonstrate strong communication, analytical and problem solving skills and enjoy working in an intellectually challenging, collegiate and collaborative environment