
About Squarepoint Capital
Data-driven investment management for superior returns
Key Highlights
- Headquartered in London, UK with a global presence
- Over 300 employees specializing in quantitative strategies
- Focus on institutional clients with a diverse portfolio
- Strong emphasis on risk management and technology
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...
π Benefits
Squarepoint Capital offers competitive salaries, performance-based bonuses, comprehensive health benefits, and a generous PTO policy. Employees also h...
π Culture
Squarepoint Capital fosters a culture of intellectual rigor and innovation, emphasizing data-driven decision-making and collaboration among its teams....
Overview
Squarepoint Capital is hiring a Junior Commodities Fundamental Analyst to support the desks in building fundamental commodity supply and demand models. You'll work with Python and Excel to develop analytics tools and processes. This position requires experience in researching and analyzing data.
Job Description
Who you are
You have an advanced degree in Mathematics, Statistics, Engineering, Econometrics, Applied Economics, or a related field β your academic background has equipped you with the analytical skills necessary for evaluating complex data sets. You have experience in researching, analyzing, and modeling data, ideally through prior internship experience or in a related position, which has given you a solid foundation in quantitative analysis. Your coding skills in Python are strong, and you are comfortable using Excel to support your analytical tasks. You demonstrate a passion for investing and trends in the commodities markets, which drives your interest in this role. You possess excellent writing skills and can quickly synthesize thoughts and organize information effectively. You are open to tackling any project or task that is required, showcasing your adaptability and willingness to learn. Strong communication skills enable you to work well with colleagues across multiple teams and regions, fostering collaboration and teamwork.
What you'll do
In this role, you will support the desks in building fundamental commodity supply and demand models, which are crucial for informed trading decisions. You will assist in developing and expanding analytics tools and processes for the desk, ensuring that they have the necessary resources to operate effectively. Your responsibilities will include producing ad hoc analysis based on short-term market developments as requested by the desk to support trade ideas. You will evaluate and improve market data quality, ensuring that the information used for trading is accurate and reliable. Each day, before the market opens, you will check that all required data and related processes are ready for the trading day, demonstrating your attention to detail and commitment to operational excellence. During the trading day, you will perform ad-hoc analysis on topics linked with current trade opportunities, providing timely insights to support decision-making. You will also work on various long-term projects aimed at building market-leading analytical models, contributing to the desk's strategic initiatives.
What we offer
Squarepoint Capital offers a competitive base salary starting at $150,000 for this role if located in New York, along with eligibility for discretionary bonuses that could constitute a significant portion of total compensation. You will have access to benefits such as health, dental, and other wellness plans, as well as 401(k) contributions. The company fosters a collaborative and innovative work environment, where you will have the opportunity to grow your skills and advance your career in the finance industry. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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