
Data-driven investment management for superior returns
Squarepoint Capital is a prominent investment management firm headquartered in London, specializing in quantitative trading and investment strategies. With a team of over 300 professionals, Squarepoint leverages advanced technology and data analytics to manage a diverse portfolio for institutional c...
Squarepoint Capital offers competitive salaries, performance-based bonuses, comprehensive health benefits, and a generous PTO policy. Employees also h...
Squarepoint Capital fosters a culture of intellectual rigor and innovation, emphasizing data-driven decision-making and collaboration among its teams....

Squarepoint Capital • New York
Squarepoint Capital is seeking a Quantitative Researcher in Commodities to enhance trading strategies through mathematical modeling and simulation. You'll utilize skills in machine learning and statistical techniques while working in New York. This role requires a Master's degree in a STEM field and relevant experience.
You hold a Master's degree or foreign equivalent in a STEM field and have at least one year of experience as a Graduate Quantitative Researcher or in a related position within an investment or asset management organization. You possess a comprehensive understanding of mathematical models and technologies, and you are skilled in statistical techniques including regression analysis and machine learning. Your proficiency in Python allows you to translate complex models from Excel, enhancing your ability to implement effective trading strategies.
You are adept at producing ad hoc analyses based on short-term market developments, supporting trade ideas with timely insights. Your analytical skills enable you to monitor the inputs and outputs of fundamental models, ensuring that results meet industry-leading standards. You have a keen eye for detail and are capable of originating fundamental trade ideas and recommendations that align with the desk's objectives.
Experience with financial modeling and a strong grasp of the commodities asset class will set you apart. Familiarity with algorithmic trading and risk modeling will enhance your contributions to the team. You are a proactive communicator, able to collaborate effectively with traders and other stakeholders to drive successful outcomes.
In this role, you will formulate mathematical and simulation models of investment strategies, relating constants and variables to enhance trading through computerized algorithms. You will implement these models while utilizing your knowledge of statistical techniques to improve investment strategies in the commodities asset class. During the trading day, you will perform ad-hoc analyses on topics linked with current trade opportunities, providing valuable insights to support the desk's trading decisions.
You will monitor the skill of fundamental models against realization, ensuring that model results are consistently of high quality. Your responsibilities will include supporting and following trade ideas proposed by traders, conducting fundamental risk modeling of existing positions, and originating new trade ideas based on market analysis. You will collaborate closely with the trading desk, providing analytical support that drives the firm's investment strategies.
Squarepoint Capital offers a competitive salary range of $150,000 to $215,000 per year, reflecting the expertise and experience you bring to the role. You will work in a dynamic environment in New York, where your contributions will directly impact trading strategies and investment outcomes. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team. Join us to be part of a leading investment management firm that values innovation and analytical excellence.
Apply now or save it for later. Get alerts for similar jobs at Squarepoint Capital.