WorldQuant LLC

WorldQuant LLC is seeking an experienced software engineer to build scalable systems for quantitative research and portfolio production in a Linux environment. You will contribute to a multi year platform initiative designed to support large scale data processing, backtesting, and ML workflows. The role emphasizes writing production quality Python, with opportunities to apply C++ expertise. Strong collaboration with researchers and PMs is essential, and English proficiency is required.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large scale quantitative research operations that drive WorldQuant's platform and the production of our portfolio. The team is currently embarking on a multi year journey to provide a powerful, scalable, and efficient platform to drive the firm's next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You'll Bring: A successful candidate will possess: A minimum of 7 years of writing production quality code in Python on Linux platform Candidate must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. Strong understanding and experience with Linux system programming fundamentals Ability to develop large scale, distributed systems Strong understanding of data structures, algorithms, high performance application design, and concurrency patterns. Self motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services.

WorldQuant LLC in Greater London is seeking a Software Engineer to build and enhance software that supports quantitative research operations. Candidates should have a strong background in C++, Linux, and Python, with an emphasis on developing scalable systems for the firm's next phase of growth. Applicants should possess at least 5 years of experience in production-quality coding, alongside a solid understanding of data structures and algorithms. The company fosters a collaborative environment that values intellectual rigor and innovative thinking.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like minded people. The Role Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant's platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm's next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You'll Bring A successful candidate will possess: A minimum of 5 years of writing production-quality code in C++ on Linux platform Good understanding of Python language with development experience Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are building a new software engineering team with strong applied AI orientation to amplify WorldQuant's success. The team is focusing on creating company-wide applications to address our colleagues' every day problems. You will have a chance to work with a broad range of teams at WorldQuant, helping them to be more productive with custom solutions. Collaborate with cross-functional distributed teams. Gather, analyze and spec out requirements, and manage product deliverables. Design and build scalable AI-driven products addressing real-world problems. Stay current with the latest technical advancements, particularly in the field of AI and LLMs. What You'll Bring: Strong programming skills, preferably in Python. Exceptional analytical skills and a passion for solving complex problems. Thorough understanding of how AI works and familiarity with language models. Understanding of vector databases and other relevant data structures. Working knowledge in various databases and messaging technologies is a strong plus. (SQL, Redis, Kafka etc.) Excellent communication skills in English. Mature, thoughtful attitude with the ability to operate in a collaborative, team-oriented culture. A strong delivery mind set, drive to get things done. Experience in finance is not required.

A financial technology firm in Greater London is looking to build a new software engineering team focused on applied AI. This role involves collaborating with diverse teams to develop scalable AI-driven applications that solve real-world problems. Strong programming skills in Python and exceptional analytical abilities are essential. The environment encourages innovation and continuous improvement, making it ideal for those who thrive in intellectually stimulating settings.