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08/02 Monika Bighane
HR at StateStreet

Views:1598 Applications:276 Rec. Actions:Recruiter Actions:63

State Street - Quant Analyst - Fixed Income Research (3-8 yrs)

Bangalore Job Code: 1217389

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 $4 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 an intermediate-level Quantitative Analyst for its Fixed Income Research team. The analyst will be a part of the team responsible for developing investment strategies, creating proprietary tools and solutions to improve investment decision-making, engaging with various teams for thematic research, and writing papers for publication.

While the analyst will work in a collaborative environment, s/he is expected to make individual contributions and potentially independently lead a portion of the research. As the team focuses on delivering implementable solutions, the position may benefit from a level of market knowledge and attention to detail. The ideal candidate has a minimum of 3 years of investment experience and demonstrated quantitative skills.

Requirements :

- A Bachelor's degree is required; an advanced degree (MBA, MA, or MS) or CFA is preferred

- At least three years of investment experience (either in research or portfolio management) is required, preferably focusing on one of the following areas: active security selection, smart beta/risk premia research (including ESG as factors), portfolio construction, and optimization. Research experience can be in either an academic or industry setting.

- Strong quantitative and programming skills are required.

- Knowledge of statistical packages (preferably R or Python) and intermediate-level SQL is required.

- Experience dealing with large data sets is preferred.

- Familiarity with front-office tools such as FactSet, Bloomberg, etc., is highly recommended.

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

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

Women-friendly workplace:

Maternity and Paternity Benefits

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