Are you a Quantitative Researcher eager to work at the cutting-edge intersection of technology and finance? We have an exciting opportunity to join a dynamic and collaborative team focused on developing systematic, data-driven trading strategies across multiple liquid asset classes. Here, you’ll be part of a research group that truly values rigorous quantitative analysis and innovative portfolio construction techniques, driven by access to diverse public data sources.
As an Entry-Level Quantitative Researcher, you will play a key role in conducting original research in quantitative portfolio management, focusing on predictive modeling and state-of-the-art strategy monetization. If you thrive on intellectual curiosity, ownership of your work, and working collaboratively in a fast-paced environment, we want to hear from you.
WHAT YOU’LL DO
Conduct rigorous quantitative research across all stages: idea generation, data analysis, hypothesis testing, and implementation
Collaborate with researchers to develop and refine predictive models and portfolio construction methods
Analyze and digest the latest academic research to inform strategy development
Build analytical tools that enhance the shared research framework
WHAT YOU’LL BRING
A PhD or a minimum of 2 years professional experience in a quantitative discipline such as econometrics, mathematics, statistics, physics, or computer science
Proficiency in Python (or comparable programming language) and working knowledge of SQL
Strong data science skills, including feature engineering; experience with machine learning is a plus
A highly motivated, curious, and critical mindset with a willingness to take full ownership of your projects
Ability to work effectively both independently and as part of a collaborative team
No prior financial industry experience required
Commitment to maintaining the highest ethical standards
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