Senior Quantitative Researcher
Join a fintech company developing algorithmic trading infrastructure for hedge funds, proprietary trading firms, and institutional investors. Work on systematic strategies and collaborate with research and engineering teams in an on-site Tel Aviv role.
Responsibilities
- Design, test, and refine systematic trading strategies using complex financial datasets.
- Develop statistical and mathematical models for quantitative research.
- Perform rigorous backtesting and analyze strategy performance and risk.
- Translate research outputs into production-ready algorithms with engineering teams.
- Optimize strategies for low-latency execution.
- Collaborate with research, engineering, and product colleagues to improve trading-system performance and robustness.
Requirements
- Strong knowledge of statistics and mathematics, including probability, econometrics, and time-series analysis.
- Experience designing and evaluating systematic trading strategies and conducting quantitative research.
- Strong analytical skills and the ability to work with large datasets and interpret complex results.
- Proficiency in Python, R, C++, or a similar programming language.
- Experience with data analysis tools, numerical libraries, and version control systems.
- An advanced degree in mathematics, statistics, computer science, physics, engineering, finance, or another quantitative discipline, or equivalent practical experience.
Nice to have
- Familiarity with financial markets, market microstructure, and algorithmic trading concepts.