The clients are internal (primarily drawn from the equity and portfolio sales and trading teams) and external (mostly institutional and hedge fund accounts). The ideal candidate will immediately slot into our top-rated and growing global equity quantitative strategy team and work on projects including, but not limited to, alpha generation through stock selection, factor modeling, big data, machine learning, portfolio construction, risk modeling and analysis. The candidate will also have the opportunity to participate in our fast-growing systematic risk premia (QIS) business. Relevant industry experience is required for this role.
Main Duties / Responsibilities
Responsibilities will encompass alpha strategy development & modeling (primarily stock selection) as well as portfolio construction. The ideal candidate will also be expected to help lead the more junior members of the team and oversee publication pipeline and client request flow. The role also involves marketing responsibilities and be willing to travel both domestically and internationally (approximately 20% travel).
Applicants should have a top school advanced degree (e.g. MSc or PhD) with strong background in econometrics, statistics, signal processing, or the like. Familiarity with quantitative research [e.g., stock selection, cross-asset quantitative strategies, portfolio optimization, alpha modeling] is a prerequisite, and strong programming skills (Matlab, R, C++, SQL, Oracle) are a must. This position provides opportunities to do cutting-edge modeling as well as work on a bespoke basis with some of the most sophisticated institutional clients in the world.
Day-to-day responsibilities will include ensuring the quality of the underlying quantitative equity data and developing, generating, streamlining and overseeing the development of a research pipeline and relevant reports, as well as managing client request flow. Ideas are disseminated in written English, so composition and publication skills are required, including a proven ability to convey sophisticated concepts in finance in a clear and concise form. Also important is collaborating with all other internal Quantitative Strategists to drive information sharing and leverage expertise.