Equity Research - Assistant Vice President

Location: Bangalore, India

State Street Investment Management (formerly State Street Global Advisors) is the asset management business of State Street Corporation and one of the world’s largest institutional asset managers, with approximately $6.3+ trillion in assets under management. Founded in 1978 and headquartered in Boston, the firm is the fourth-largest asset manager globally and a pioneer in exchange-traded funds, having launched the first US-listed ETF in 1993. We serve a broad spectrum of clients — from institutional and individual investors to plan sponsors and financial advisors — through a leading global platform spanning indexing, ETFs, and active and quantitative strategies.

• Own Tactical Asset Allocation research workstreams , including idea formulation, data preparation, model development, back-testing, robustness analysis, documentation and implementation support for short- to medium-term multi-asset signals with focus on equity forecasting.

• Develop and improve quantitative frameworks for asset allocation and portfolio construction, with appropriate consideration of transaction costs, risk controls, regime sensitivity and real-world implementability.

• Support the full model lifecycle in Bangalore , including model documentation, validation, production hand-off, monitoring, periodic review and engagement with Model Risk Management and other governance partners.

• Apply AI-enabled tools and modern research workflows , including machine learning, NLP and LLM-based approaches where appropriate, to improve research productivity, insight generation and reproducibility.

• Execute priority research within the global multi-asset agenda , working with senior researchers, portfolio managers and client portfolio managers across regions.

• Partner with and support junior researchers , providing technical guidance, constructive review and knowledge-sharing while remaining accountable for individual deliverables.

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• Support India research partnerships as needed, contributing analysis, research materials and coordination for joint workstreams.

• Advanced degree (PhD/MS/MBA) in Finance, Economics, Mathematics, Statistics or a related quantitative discipline.

• 7+ years of professional and/or academic experience; CFA designation a plus.

• Experience in quantitative research and modelling for multi-asset portfolios, with demonstrated exposure to developing tactical signals for equity forecasting, including sector and country rotation strategies.

• Demonstrated capability in quantitative analysis — forecasting models, portfolio construction, scenario and risk analysis, and simulation across a range of advanced quantitative techniques.

• Strong quantitative modelling, analytical and programming skills (e.g., Python and/or R, SQL, Excel, VBA).

• Familiarity with financial software and data platforms (FactSet, Bloomberg, Reuters)

• Understanding of model governance, validation and monitoring expectations in a regulated institutional environment is preferred.

• Excellent written and verbal communication skills, including the ability to explain quantitative work to technical, investment and client-facing audiences.

• Ability to work independently, manage multiple stakeholders and collaborate effectively across a globally distributed team.

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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