Quantitative Researcher

CTC Trading Group, LLC seeks a Quantitative Researcher in New York, NY. Duties: Partner directly with trading to turn market observation and intuition into working hypotheses. Collaborate with trading and technology to build world class models that help us describe the ever-changing world around us. Assess the strength of both current models and new candidate models by using intuition, data, and first principles. Participate in a rapid innovation cycle that produces demonstrable wins through the feedback loop of quantitative research, trading,post-trade analysis, and iterative workflows. Conduct research and design experiments to improve existing strategies and deploy new strategies that monetize opportunities in a constantly evolving market environment. Build data-based tools and workflows to further systematize our approach to trading and risk management. Learn from an experienced team with a diverse knowledge base across trading, quant, and technology. Telecommuting Permitted. Requires a Masters degree in Statistics, Management Science, Machine Learning, Computer Science, Physics, or a related quantitative field, plus 9 months of related experience. Requires 9 months of experience in the following: Strong mathematical background (Statistics, Probability, Linear Algebra). Independent research experience with a proven track record of pairing Quantitative Modeling and Trading Intuition to solve complex problems. Expertise in C++ or Python. Data literacy including the ability to leverage big data technologies, work with different data storage systems and leverages statistical libraries for data analysis. Advanced programming skills and experience with the software development lifecycle. Alternatively, the employer will also accept a Bachelors degree in Statistics, Management Science, Machine Learning, Computer Science, Physics, or a related quantitative field plus 3 years of related experience. Requires 3 years of experience in the following: Strong mathematical background (Statistics, Probability, Linear Algebra). Independent research experience with a proven track record of pairing Quantitative Modeling and Trading Intuition to solve complex problems. Expertise in C++ or Python. Data literacy including the ability to leverage big data technologies, work with different data storage systems and leverages statistical libraries for data analysis. Advanced programming skills and experience with the software development lifecycle. 40 hours/week, Wage Range: $200,000-$250,000 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply at Ref # 48677