Associate, Quantitative Researcher - Systematic Active Equity
About this role
Systematic Active Equity
$350 billion
hedge funds, long-only strategies and outcome-oriented investment solutions
. For more than 40 years, SAE has been a pioneer in quantitative investing, delivering innovative investment solutions to pension funds, sovereign wealth funds, central banks and other institutional investors worldwide.
Our success is built on a culture of continuous innovation, rigorous scientific research and collaboration. We believe the next generation of alpha will be discovered through data, technology and creative thinking. Researchers are encouraged to challenge established approaches, experiment with new ideas, and explore emerging machine learning and AI techniques where they can enhance the investment process and create value for clients. Our open and collaborative environment provides exceptional opportunities to learn from experienced investors, develop your research capabilities and make a meaningful impact from day one.
What You'll Do
- Discover and develop novel sources of alpha using traditional and alternative datasets.
- Apply statistical, econometric, machine learning and AI techniques to identify new investment opportunities.
- Explore emerging machine learning and AI methodologies, evaluating and applying innovative techniques that can improve the investment process.
- Conduct rigorous empirical research, simulation and backtesting to validate investment hypotheses.
- Build robust research pipelines and scalable analytical tools to accelerate research and production deployment.
- Partner with researchers, portfolio managers and engineers to implement successful ideas into live investment strategies.
- Continuously challenge existing approaches, drive innovation across the research platform and contribute new ideas that enhance investment performance.
- Present research findings and contribute to the evolution of our investment process.
Who We're Looking For
We're looking for researchers who are excited by solving difficult problems, experimenting with large and complex datasets, and pushing the boundaries of systematic investing. Beyond strong technical skills, you bring investment curiosity and financial intuition - thinking critically about
why
guidance
Not included in the source posting: what you'll do, qualifications, benefits.
Skills
Who can apply
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