Company Description
Zen Trading is an AI-driven research platform designed to enhance trading performance across various markets, including equities, derivatives, private, and prediction markets. Leveraging advanced analytics and smart technology, Zen Trading provides innovative solutions for data-driven decision-making. The platform empowers its users with tools that drive efficiency and results in complex trading environments.
Role Description
This part-time remote role is for a Quantitative Researcher. The selected candidate will conduct rigorous quantitative research, analyze complex data sets, and develop models to inform trading strategies. Responsibilities include employing statistical and mathematical methods to identify market inefficiencies, enhancing trading algorithms, and working collaboratively with teams to optimize performance.
Qualifications
- Strong foundation in Statistics and Mathematics
- Experience in Quantitative Research and Quantitative Investing
- Exceptional Analytical Skills with the ability to interpret and work with complex data
- Familiarity with programming languages such as Python, R, or MATLAB for data analysis and modeling
- Bachelor’s, Master’s, or advanced degree in Mathematics, Statistics, Computer Science, or a related field
- Strong communication skills to effectively present research findings and collaborate with teams
- Experience in financial markets and trading strategies is a plus