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

Senior Quantitative Researcher, Systematic Equity, Vice President

• Company: State Street Investment Management
• Location: London, UK

Who We Are Looking For

This role is for a Senior Quantitative Researcher within the Systematic Equity team. The role is based in London and reports to the Lead Research Supervisor for Systematic Equity.

The Systematic Equity team manages a broad range of quantitative equity strategies across global markets and active risk profiles. We have a long history of delivering innovative, risk controlled investment solutions and are looking for someone who can help shape the next stage of our research platform.

The successful candidate will combine strong quantitative and technical skills with a deep understanding of investing. They will work closely with portfolio managers and researchers to develop new investment ideas, improve existing models, and apply advances in AI and data science to real investment problems.

Why This Role Is Important To Us

Systematic investing is evolving rapidly as new data sources, computing capabilities, and advances in artificial intelligence continue to expand what is possible in quantitative investing.

To remain at the forefront of the industry, we continue to invest in research, technology, and innovation. This role will play an important part in developing the next generation of alpha models and portfolio construction capabilities, helping translate new ideas into scalable investment solutions that can deliver value for our clients.

What You Will Be Responsible For

• •Generate ideas for investment process innovation and improvements, with a focus on alpha generation and portfolio construction.
• •Lead and execute research projects, from idea generation and testing through implementation and performance evaluation.
• •Use machine learning and AI to enhance the research process and investment outcomes, spanning data analysis, alpha generation, portfolio construction, and risk management.
• •Work closely with portfolio managers to improve existing strategies and develop new investment capabilities.
• •Contribute to maintaining and evolving our research and production platform.
• •Present research findings clearly and effectively to portfolio managers, researchers, senior management, clients, and prospects.
• •Mentor junior researchers and contribute to a collaborative and high performing research culture.

Education & Preferred Qualifications

• •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 experience applying these techniques to quantitative models
• •Demonstrated ability to effectively leverage a range of 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 research findings into practical investment applications.
• •Strong communication skills and the ability to work effectively with portfolio managers, researchers, and technology teams.

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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