Quantitative Researcher

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement. Old Mission does not seek capital from outside investors, allowing us the flexibility to aggressively invest in our team members and keep them engaged in the firm’s growth. About the Position We’re constantly asking questions to improve what we already do and explore new opportunities. As a Quantitative Researcher in our NYC office, you’ll work directly with our traders and research infrastructure to: Conduct research and analyze large data sets to develop and implement alpha signals while contributing to portfolio construction Collaborate with others to analyze the performance while optimizing and creating new strategies Develop pricing models Assess risk Required Skills An advanced degree in a quantitative field such as computer science, an engineering discipline, mathematics, statistics, or physics A deep technical understanding of advanced statistical techniques 3+ years of relevant equity trading experience Expertise building statistical models equity forecasts, with a proven track record of deploying such models to production equity trading systems Proficiency in at least one of the following languages: C++, Python, R, Matlab, Ruby, Java Experience leading a team of researchers, either in industry or academia Superior written and verbal communication skills Benefits and Perks Fully paid Medical, Dental, Vision, Disability, and Life Insurance Fully stocked kitchen; free breakfast and lunch every day on-site Tuition Reimbursement Program 401(k) with employer match Paid Vacation, Sick, and Parental leaves Commuter and Flexible Spending Programs Base Salary Range $170,000 - $300,000 - Salaries are based on numerous factors such as skills, experience, and education. Our compensation package also includes a discretionary bonus and a comprehensive benefits program for full-time employees. #J-18808-Ljbffr