Quantitative Researcher
Core
Develop and deploy systematic financial strategies by creating high-quality predictive signals (alphas) using proprietary research platforms to exploit market inefficiencies.
Role type
Quantitative Researcher (Research Scientist)
Builds
Computer-based predictive models and alphas for global financial markets
Domain
Quantitative Finance / Applied Mathematics / Data Science
Deliverable
production ML models
Required skills
Applied Mathematics, Computer Science, Financial Economics, C++, Python, Machine Learning, Deep Learning, NumPy, pandas, PyTorch, Keras, AI/LLM integration
Preferred skills
PhD or equivalent research experience, scientific publications, Olympiad medals, portfolio theory, asset pricing, derivatives
Technologies
PyTorch, Keras, NumPy, pandas, C++, Python
Responsibilities
Building algorithmic computer-driven models; Conducting research on academic quantitative finance literature; Exploring new data; Applying innovative methods in Applied Mathematics, Computer Science, and Financial Economics; Integrating AI and LLM advancements into quantitative finance applications
Seniority
Individual Contributor (IC), Research-focused