We’re seeking a Quantitative Researcher to join our London team and help develop cutting-edge signals, models, and trading strategies for global financial markets. You’ll work closely with a small group of researchers and engineers to design, implement, and evaluate components of our research infrastructure, applying rigorous statistical and computational methods.
This is an opportunity to gain broad exposure across multiple areas of quantitative research and to rapidly deepen your expertise in quantitative finance within a collaborative, intellectually vibrant environment.
What You’ll Do
* *Develop and test innovative signals, models, and strategies for systematic trading.
*Design and implement research tools and data pipelines.
*Evaluate model performance using advanced statistical techniques.
*Collaborate with a small, high-performing team to generate new research ideas.

What We’re Looking For
* *PhD (completed or near completion) or Postdoctoral researcher in Mathematics, Statistics, Machine Learning, Physics, Computer Science , or a related quantitative discipline.
*Exceptional mathematical and analytical ability .
*Strong programming skills in Python or C++.
*Experience tackling data-intensive problems is a plus.
*Proven ability to conduct applied mathematical or statistical research .
*Success in mathematical competitions (e.g., IMO, Putnam) is advantageous.
*Prior experience in a quantitative or trading environment is a plus.

Who You Are
* *Intellectually curious, creative, and rigorous in your approach.
*Eager to challenge assumptions and adapt in light of new evidence.
*Highly motivated and accountable, with a strong sense of ownership.
*Meticulous, detail-oriented, and capable of managing multiple priorities.
*Collaborative and communicative, comfortable giving and receiving feedback.
*Able to work effectively both independently and within a small team .