Quantitative Researcher
- Extract predictive signals from financial data through both traditional statistical analysis methods and cutting edge machine learning techniques
- Assist software developers to translate research strategies into production software
- Optimize the order execution and risk management of our trading system
- Create robust solutions to problems presented in the trading environment
- Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities
- Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas
- A degree in a technical discipline with a focus on statistics, machine learning, signal processing, optimization and control graduating between December 2025 and September 2026 (Bachelor's, Master's, PhD)
- A curiosity for model development and experience handling large data sets
- Expertise in programming using Python, R, MATLAB, or C++ for conducting research
- Can advocate for your beliefs in a concise and effective way with the team
- Significant hands-on experience applying machine learning algorithms to real world problems
- Strong problem-solving and statistics skills
- The proactive ability to take the lead on assignments and deliver practical research results in a timely manner
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