State Street - Intermediate Quant Equity Research Analyst

Title - GEBS Analyst ( Intermediate /Senior)

Exp - 5-9 yrs

Location - Bangalore

Company : State Street Global Advisors (SSGA)

Opportunity : Quantitative Analyst, Global Equity Beta Solutions

State Street Global Advisors (SSGA) is the asset management business of State Street Corporation, one of the world's leading providers of financial services to institutional investors with over Dollar 2 trillion in assets under management and a heritage dating back over two centuries. Backed by the strength and stability of the State Street organization, SSGA makes continual investments in asset management and client servicing platforms, resulting in a client-focused, solutions-driven orientation.

Position : SSGA is seeking a quantitative analyst for its Global Equity Beta Solutions research team. This team is responsible for thought leading research in Equity Indexing, including Smart Beta and Thematic Investing. The analyst will be part of the team responsible for analyzing indices, developing proprietary solutions, building custom solutions, and writing papers for publication. The role will focus on quantitative analysis and portfolio construction. The ideal candidate has a minimum of 3 years of investment experience demonstrated quantitative skills.

Requirements :

- A Bachelors degree is required; advanced degree in technical fields such as Economics, Finance or Engineering is preferred (MBA, MA, or MS) or CFA is a plus; understanding of relevant theoretical and empirical research in equity; strong quantitative, technical and analytical skills.

- At least 3-5 years of investment experience is required, preferably with knowledge of factor research either through active quantitative research, smart beta/risk premia research. Factor research can be in either an academic or industry setting.

- Familiarity with front office tools such as Factset, Bloomberg, risk platforms (e.g., Axioma, Barra, etc.) is highly recommended, particularly knowledge of factor analysis and attribution.

- Strong quantitative skills. SAS is a must.Matlab is highly recommended.

- Good communications skills and strong process, organizational, time and project management skills are necessary

- A desire to develop creative and innovative solutions is highly recommended