Quantitative Researcher

• Apply mathematics, statistics, and programming to find solutions to complex problems that occur in financial markets
• Use research as a tool to better understand global markets, varying products, and the network of exchanges that we trade on
• Improve, identify, and implement trading strategies for the firm
• Solve complex technical challenges, working alongside other quantitative researchers and collaborating with traders to solve some of the most challenging research problems with real-time impact

• PhD. or equivalent degree in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or related discipline
• Foundational knowledge of probability and statistics
• Experience working with and drawing conclusions from large datasets
• Building statistical forecasting models to impact real-time problem sets
• Strong practical computing skills in object-oriented languages
• Creatively and drive to challenge standard methods and come up with innovative new approaches
• A passion for financial problem sets with real time impact

Having a proficiency in coding cleanly and efficiently is a plus (python preferred)

• A flat structure of collaborative environment of highly technical colleagues
• Industry-leading resources and technology infrastructure
• Extensive training, learning, development programs led by some of the top performers in the firm
• Tangible mentorship and cross-collaboration between trading, research, and development teams
• Industry-leading work/life balance and a casual office environment