Search the 67 jobs at WorldQuant

The Senior Data Engineer will build and maintain data processing ecosystems for investment operations, create optimized data pipelines, develop Python interfaces and microservices, and ensure data integrity and quality. They will also troubleshoot data processing issues and monitor system performance.

As a Deep Researcher, you will develop a structured research agenda leveraging your understanding of fundamentals and quantitative analysis. Collaborating with data scientists and engineers, your focus will be on extracting insights from complex datasets and generating predictive signals (alphas) to drive financial strategies.

As a Full Stack Engineer, you will develop and maintain internal web applications, creating and presenting API design specifications, while ensuring that the code is well designed and tested. The role emphasizes collaboration with researchers and portfolio managers to enhance user experiences and improve architecture.

As a C++ Developer, you will write low latency, high throughput C++ code, implement vital infrastructure, and collaborate with stakeholders to adapt and build new systems for WorldQuant's next generation platforms.

The Senior C++ Software Engineer will develop and maintain software for quantitative research operations and portfolio management. Responsibilities include building a scalable platform while collaborating with researchers and portfolio managers. Candidates should possess strong C++ skills and experience with Linux, distributed systems, data structures, and algorithms, among others.

As a Systems Engineer, you'll support and maintain a Linux platform, troubleshoot network issues, and collaborate closely with developers to create technical solutions. You will also automate processes using scripting and act as a liaison to understand and communicate client needs effectively, while monitoring systems and participating in an on-call rotation.

As a Senior Java Engineer, you will develop and enhance WorldQuant's distributed post-trade processing system, ensuring it manages high volumes of trade data effectively. You'll work collaboratively on various aspects of the system, participate in the entire software development lifecycle, and prioritize operational issues during support rotations.

As a Backend Engineer, you will develop backend application services and APIs, work on system design, automate CI/CD processes, monitor platform performance, and work with modern technologies. Team collaboration and continuous improvement are key responsibilities.

The Data Engineer will design, implement, test, deploy, and monitor production data pipelines using MLOps. The role requires collaboration with teams to produce scalable and fault-tolerant data systems, employing best coding practices and focusing on machine learning and Large Language Models (LLM).

The AI Scientist will conduct research in Machine Learning, produce trading signals, implement advanced Machine Learning algorithms, and collaborate with portfolio managers to optimize these algorithms.

The Independent Portfolio Manager will develop systematic strategies using statistical signals related to market inefficiencies. Responsibilities include managing and growing a quantitative investment portfolio and building a research pipeline. A successful candidate will have a track record in systematic strategies and strong programming skills.

The Experienced Quantitative Strategist will support Portfolio Managers with alpha research, modeling, and the construction and implementation of quantitative trading strategies. Responsibilities include building and maintaining tools and systems for quantitative research and portfolio management.

As a Python Software Engineer at WorldQuant, you will work on complex data pipelines and software systems. Collaborating across teams, you will leverage your expertise in data design patterns and software architecture to create high-quality solutions while using technologies common in data engineering.

The Senior C++ Software Engineer will build software for large-scale quantitative research operations, focusing on producing a powerful and scalable platform. Responsibilities include writing production-quality C++ code on Linux, developing distributed systems, and solving unique technical challenges, while collaborating with researchers and portfolio managers.

The Data Engineer at WorldQuant will troubleshoot and ensure the quality of structured and unstructured data for quantitative analysis. Responsibilities include developing tools for automation, collaborating with clients, and implementing data pipelines in C++. Requires strong analytical skills and proficiency in relevant coding languages.

The Data Engineer will develop data engineering pipelines, transform structured and unstructured data for quantitative analysis, enhance data quality, integrate new technologies, and develop automated tooling for software workflows. Strong collaboration with researchers and portfolio managers is expected, along with a focus on improving data standards and system performance.

As an AI Software Developer, you will collaborate with cross-functional teams to gather and analyze requirements, design, and build scalable AI-driven products. You will stay updated on technical advancements in AI and help create applications that improve productivity.

The LLM Developer will design, code, test, and implement machine learning systems aimed at enhancing business strategies. Responsibilities include collaborating with teams to analyze requirements, developing and testing code, and managing product deliverables within the firm.

As a Quantitative Researcher at WorldQuant, you will focus on building algorithmic models, conducting research in quantitative finance, and exploring data. This role requires a strong basis in Applied Mathematics and Computer Science, with an emphasis on developing predictive signals for financial markets.

The Book Portfolio Manager is responsible for developing systematic strategies that exploit predictive signals related to market inefficiencies across various global asset classes. This involves managing a quantitative investment portfolio and contributing to research and strategic initiatives at WorldQuant.