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...
🎁 Benefits
Squarepoint Capital offers competitive salaries, performance-based bonuses, comprehensive health benefits, and a generous PTO policy. Employees also h...
🌟 Culture
Squarepoint Capital fosters a culture of intellectual rigor and innovation, emphasizing data-driven decision-making and collaboration among its teams....
Software Engineering • Mid-Level
Skills & Technologies
Overview
Squarepoint Capital is hiring a Software Developer for their Data Infrastructure team to design and maintain high-performance data storage solutions. You'll work with C++ and collaborate with data engineers and scientists. This role requires 4+ years of software engineering experience.
Job Description
Who you are
You have a strong background in C++ and at least 4 years of professional software engineering experience — you've designed and developed data infrastructure components that support data processing and analytics pipelines. Your expertise in microservices architecture allows you to create high-performance solutions for accessing large datasets, which is crucial in trading and research environments.
You are familiar with data serialization formats such as Apache Arrow and Parquet, and you have experience with Google Protocol Buffers and Flatbuffers. Your knowledge of gRPC, HTTP/REST, and WebSocket protocols enables you to build efficient communication channels between services. You also have experience with cloud platforms like AWS or Google Cloud, and you understand containerization using Docker and Kubernetes.
You thrive in collaborative environments, working closely with data engineers, data scientists, and quantitative researchers to ensure efficient and reliable data retrieval, processing, and storage. You are committed to writing clean, maintainable, and efficient code, adhering to coding best practices and standards.
You stay up-to-date with industry trends and advancements in C++ programming and data engineering technologies, and you actively participate in code reviews to maintain code quality and consistency. Your debugging skills allow you to troubleshoot software issues effectively, providing timely resolutions to keep projects on track.
Desirable
Experience with other programming languages such as Rust, Python, and Q is a plus, as it enhances your versatility in tackling various challenges within the data infrastructure domain.
What you'll do
As a Software Developer on the Data Infrastructure team, you will design, develop, and maintain microservices that process and analyze large datasets. Your primary responsibility will be to optimize these microservices for performance and scalability, ensuring efficient data processing that meets the demands of trading and research.
You will collaborate with support teams to ensure smooth deployment and operation of microservices, contributing to the overall software architecture and design of data processing and analytics pipelines. Your role will involve debugging and troubleshooting software issues, providing timely resolutions to maintain system reliability.
You will participate in code reviews, ensuring code quality and consistency across the team. Your contributions will directly impact the efficiency of data retrieval and processing, enabling the firm to leverage data effectively in its trading strategies.
What we offer
Squarepoint Capital provides a dynamic work environment where you can grow your skills and advance your career in software development. You will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals in the field. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
Join us to make a significant impact on our data infrastructure and help shape the future of data-driven decision-making in finance.
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