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About the Role

This role is for a Senior Quantitative Researcher within the Systematic Equity team, based in London. The team manages quantitative equity strategies globally and seeks an individual to help shape the research platform by combining quantitative and technical skills with investment knowledge. The successful candidate will develop new investment ideas, improve existing models, and apply AI and data science to investment challenges.

Responsibilities

Generate ideas for investment process innovation and improvements, focusing 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 the 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.

Requirements

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.

Skills

Quantitative research
Systematic investing
Quantitative equity investing
Alpha research
Factor modelling
Portfolio construction
Risk management
Machine learning
Artificial intelligence
Python
SQL
Distributed computing
Large scale data processing
Communication skills

Location

London, UK

Work Type

Full-time

Experience Level

Senior
Vice President

Education Level

PhD strongly preferred in Finance, Economics, Statistics, Mathematics, Computer Science, Physics, Engineering, or another quantitative discipline.

Benefits

Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Vibrant employee networks

About the Company

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.

Equal Opportunity

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.