Search the 64 jobs at WorldQuant

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.

As a DevOps Engineer, you will design and implement As-A-Service solutions, develop deployment tools, collaborate on innovative software for DevOps transformations, and participate in on-call duties. You will work within a team to manage and enhance service deployment in distributed environments.

As an Entry-Level Quantitative Strategist, you will support Portfolio Managers by conducting alpha research, creating models, and optimizing quantitative trading strategies. You will also build and maintain crucial tools for quantitative research and portfolio management.

The Book Portfolio Manager is responsible for developing systematic strategies using statistical signals to manage a quantitative investment portfolio. The role involves leading strategy development, contributing to firm research, and utilizing advanced technology platforms for portfolio management, focusing on market inefficiencies across various asset classes.

The Corporate Controller leads the finance organization, manages financial transactions, prepares reports, develops expense forecasts, and ensures compliance with US GAAP. The role involves collaboration with various departments and oversees audit processes, while also focusing on developing staff and maintaining financial governance.

As the Head of Execution Trading Asia, you will lead the team responsible for executing trades across multiple asset classes. You will advise on algorithmic execution methods, analyze large data sets for automation, and collaborate with various teams to create solutions for complex trading problems.

As a BRAIN Researcher at WorldQuant, you will develop predictive algorithms (alphas), conduct research in quantitative finance, enhance platform functionalities, and engage in business development. You are expected to have a strong analytical background and programming skills in languages such as Java or Python, while being proactive and creative in solving complex challenges.

As a Quantitative Researcher at WorldQuant, you will collaborate with data scientists and engineers to develop a research agenda focused on identifying financial alphas. Responsibilities include conducting data exploration, becoming a domain expert, and applying quantitative analysis methods to enhance investment strategies.

The Project Manager will oversee project operations, ensuring alignment with goals and collaboration across teams. Responsibilities include developing strategies, managing timelines, ensuring budget compliance, and maintaining stakeholder communication while fostering team partnerships for project success.

The Trading Operations Engineer will support and enhance a real-time global execution system, troubleshoot issues, manage application configurations, optimize performance, and collaborate across teams throughout the project life cycle.

As a Quantitative Researcher, you will develop computer-based models to identify predictive signals in global financial markets. Emphasis is placed on innovative problem solving, collaboration, and a rigorous research approach to uncovering market inefficiencies.

As a Quantitative Researcher, you will employ advanced mathematical and statistical techniques to create predictive models for financial markets. Your role involves rigorous data analysis and exploration to identify new alphas, leveraging your programming skills and a strong analytical mindset. Candidates should be driven by challenges and have a keen interest in finance and markets.

The Quantitative Researcher at WorldQuant focuses on creating computer-based models to predict global financial market movements, employing rigorous research to identify high-quality predictive signals. Candidates should possess a robust academic background, programming skills in C++ and Python, and a strong interest in finance. Creativity, perseverance, and effective communication skills are essential.