Senior Quantitative Researcher, Systematic Equity, Vice President – State Street Investment Management

Overview

In this role you will drive the development of alpha models and scalable investment solutions within the Systematic Equity team in London. You will partner with portfolio managers and researchers to turn ideas into data-driven strategies, applying AI and data science to real investment problems. This is a research-focused position that shapes the next generation of research platforms and risk-managed ETFs/portfolios. You will mentor colleagues and contribute to a collaborative, high-performance culture that connects research with client value.

Pay / Benefits

• inclusive development opportunities
• flexible work-life support
• paid volunteer days
• vibrant employee networks

Responsibilities

• Generate ideas for investment process innovation focused on alpha generation and portfolio construction
• Lead and execute research projects from ideation to implementation and performance evaluation
• Apply machine learning and AI to data analysis, alpha generation, portfolio construction, and risk management
• Collaborate with portfolio managers to enhance existing strategies and create new capabilities
• Maintain and evolve the research and production platform
• Present findings clearly to portfolio managers, researchers, senior management, clients, and prospects
• Mentor junior researchers and foster a collaborative, high-performing research culture

Key requirements

• PhD strongly preferred in Finance, Economics, Statistics, Mathematics, Computer Science, Physics, Engineering, or another quantitative discipline
• Demonstrated experience in quantitative research and systematic investing
• Deep knowledge of quantitative equity investing including alpha research, factor modelling, portfolio construction, and risk management
• Strong understanding of machine learning and artificial intelligence with hands-on application to quantitative models
• Proven ability to leverage AI tools in research activities
• Excellent programming skills in Python and/or SQL
• Experience with distributed computing and large-scale data processing is a plus
• Proven ability to lead independent research and translate findings into practical investment applications
• Strong communication skills and ability to work with PMs, researchers, and technology teams

• Strong communication
• Collaboration
• Mentorship
• Machine learning and AI for quantitative models
• Python
• SQL

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