Quant Researcher, Investment Solutions Group

Company

State Street Investment Management

Opportunity

Quant Researcher, Investment Solutions Group

Location

Bangalore, India

Information Classification

General

Company Overview

State Street Investment Management is the asset management business of State Street Corporation, one of the world's leading providers of financial services to institutional investors, with over $5 trillion in assets under management and a heritage dating back over two centuries. Backed by the strength and stability of the State Street organization, State Street Investment Management makes continual investments in asset management and client servicing platforms, resulting in a client-focused, solutions-driven orientation.

Team Overview

The Investment Solutions Group (ISG) is a team of 80+ investment professionals running multi-asset class portfolios for some of the world's largest and most sophisticated investors. ISG manages strategies across global, tactical, and strategic benchmarks, bringing a deep understanding of risk and return drivers across asset classes to investment decision-making.

Role Summary

The Quant Researcher will contribute to the development, enhancement, and productionization of next-generation multi-asset portfolio construction and alpha-generation frameworks. The role combines quantitative research, tactical asset allocation, portfolio implementation, data engineering, portfolio manager support, and applied AI. A key focus will be tactical multi-asset modeling, including MENA-focused investment research, regional data development, strategy customization, and agentic AI-enabled investment workflows.

Key Responsibilities

Portfolio Construction and Tactical Multi-Asset Modeling

• Lead development and enhancement of portfolio construction frameworks with a strong focus on tactical multi-asset modeling.
• Develop tactical asset allocation approaches incorporating cross-asset signals, risk controls, implementation constraints, and portfolio construction best practices.
• Support evolution of medium-term alpha-generation models across asset classes and contribute to broader multi-asset investment model research.

Model Innovation and Strategy Expansion

• Study and enable derivatives-only mandates, including design, implementation, risk management, and operational considerations.
• Enhance scores-to-alpha mapping frameworks, including exploration of machine-learning extensions, simplification approaches, interpretability, and scalability.
• Explore and design large-scale custom model portfolio frameworks to support scalable client-specific investment solutions.

Tools, Platform Development, and PM Support

• Enhance and maintain the suite of tactical portfolio construction tools and models used by investment teams.
• Provide portfolio manager support to ensure robust implementation, usability, and ongoing refinement of tactical models in live investment workflows.
• Manage configuration maintenance, including onboarding, mapping, and modification of data items, model inputs, and implementation parameters.
• Create and maintain end-to-end infrastructure for data gathering, cleaning, signal generation, portfolio implementation, and model monitoring.
• Build and maintain a scalable code base, primarily in Python and/or R, to support strategies that may expand in sophistication and breadth over time.

MENA-Focused Tactical Modeling and Strategy Development

• Contribute as part of a small, high-impact team to tactical multi-asset modeling with an explicit focus on MENA markets.
• Develop a deep understanding of MENA market realities, including liquidity, trading universe, regulatory context, market structure, and regional initiatives such as Vision 2030.
• Partner with MENA-based strategists to create investment product ideas that are commercially relevant and aligned with State Street Investment Management's investment capabilities.
• Customize global and tactical strategies to MENA market realities and client requirements, including development of relevant collateral and potential thought leadership.

MENA Data Ecosystem and Productionization

• Organize, procure, study, and productionalize MENA-centric datasets for portfolio manager and client consumption.
• Develop scalable data workflows covering sources such as NLP-based news, macroeconomic indicators, policy data, Saudi central bank policy information, fundamentals, pricing, and other relevant regional datasets.
• Integrate new datasets into tactical modeling, PM dashboards, client reporting, and research workflows where appropriate.

AI-Enabled Investment Research

• Help build an agentic AI model for MENA multi-asset investing that combines news, fundamentals, price data, macro data, and other sources of information.
• Contribute to AI-enabled research workflows that improve speed, scale, and consistency of investment insight generation.
• Evaluate practical applications of NLP, machine learning, and agentic AI in tactical asset allocation, signal research, and portfolio construction.

Research, Communication, and Collaboration

• Participate in research projects, including advanced volatility forecasting techniques and other quantitative investment initiatives.
• Communicate research findings, model changes, and portfolio implications clearly to portfolio managers, strategists, senior stakeholders, and clients where relevant.
• Collaborate effectively across investment, research, data, technology, and regional strategy teams.

Qualifications

• Bachelor's or Master's degree in finance, econometrics, engineering, computer science, mathematics, statistics, physics, or another highly quantitative discipline.
• Minimum of 3 years of quantitative research, quantitative development, portfolio analytics, or investment technology experience in the financial industry.
• Strong quantitative background, ideally including econometrics, optimization, stochastic calculus, statistics, machine learning, or portfolio construction.
• Strong programming skills in Python and/or R, with experience building production-quality research workflows, reusable code, and analytical tools.
• Experience with quantitative financial research, portfolio analytics, signal research, data engineering, and model implementation.
• Familiarity with market data and analytics platforms such as Bloomberg, FactSet, and similar providers.
• Strong understanding of multi-asset investing, risk models, tactical asset allocation, and portfolio construction concepts.
• Ability to work with large and diverse datasets, including pricing, macroeconomic, fundamental, textual, and alternative data sources.
• Excellent interpersonal, communication, and presentation skills, with the ability to explain complex quantitative concepts to both technical and investment audiences.

Preferred Experience

• Experience with derivatives, derivatives-only mandates, overlay strategies, or implementation of derivative-based investment exposures.
• Experience with scores-to-alpha mapping, alpha combination, signal scaling, model simplification, or ML-based signal enhancement.
• Exposure to model portfolio construction, custom client solutions, or scalable portfolio implementation frameworks.
• Knowledge of MENA markets, including regional liquidity, investable universe, regulations, macro policy, local market structure, and regional strategic initiatives.
• Experience working with NLP, news analytics, central bank policy data, or other text-based investment datasets.
• Interest in applied AI, agentic AI frameworks, and practical deployment of AI tools in investment research and portfolio management workflows.
• Ability to develop client collateral, research notes, thought leadership, or internal investment communication materials.

Key Attributes

• Commercially oriented researcher with strong investment judgment and implementation discipline.
• Comfortable operating in a small, high-impact team with broad ownership across research, tools, data, and portfolio support.
• Strong problem-solving mindset with the ability to simplify complex models while preserving investment relevance.
• Collaborative, proactive, and able to partner effectively with portfolio managers, strategists, data teams, and regional stakeholders.
• High standards for code quality, documentation, governance, and production readiness.

About State Street

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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