Jobs at WorldQuant

The role involves transforming data for quantitative analysis, integrating technologies, enhancing data quality, recommending performance improvements, and developing utility tools for automation.

The Quantitative Researcher will conduct alpha research, develop predictive models using various datasets, and enhance Python-based software tools.

Join as a software engineer intern to build and maintain core systems for quantitative strategies. Collaborate with quants to develop, enhance, and support data-driven tools across the full development lifecycle.

As a Backend Engineer, you will develop robust backend services, automate CI/CD processes, and enhance existing systems while collaborating with an agile team.

The role involves designing, building, and optimizing real-time market data processing systems, providing technical leadership, and enhancing operational efficiency.

Manage and optimize server and network infrastructure, ensure system reliability, respond to emergencies, and enhance observability for critical computing environments.

Conduct ML research to produce predictive trading signals, design deep learning architectures, apply LLM-based agentic methods, implement signal compression and combination, build model frameworks for investment use, and collaborate with portfolio managers and researchers.

Interns will support quantitative researchers from data study to alpha construction. Responsibilities include idea generation and exposure to quantitative research platforms.

Develop backend services and APIs, optimize applications, integrate with cloud services, and build user interfaces across platforms. Work collaboratively on an agile team.

As a Data Engineer, you will analyze and enrich structured and unstructured data, enhance data quality, and develop insights for financial strategies.

Collaborate with cross-functional teams to design and develop AI-driven products, analyze requirements, and manage deliverables while staying updated on AI advancements.

Lead development of complex data pipelines and AI/ML systems, provide technical leadership and mentorship, design scalable architectures, write and review code, and collaborate across teams to deploy production-grade solutions involving LLMs and data engineering.

The Staff Accountant will manage financial transactions, participate in monthly closes, reconcile bank statements, analyze balances, and assist local accountants. Advanced Excel and English/Mandarin skills are required.

The Technical Project Manager will oversee project planning, data analysis, process documentation, and ensuring efficient operations through technology in a dynamic environment.

Lead the development of AI-driven solutions, architect scalable AI products, mentor junior engineers, and integrate AI across the organization.

The Senior Python Engineer will lead complex data pipelines and AI/ML systems, manage technical objectives, mentor junior team members, and drive architectural decisions.

Lead the development of complex data pipelines and AI/ML systems, manage technical objectives, mentor junior engineers, and drive architectural decisions.

Develop and maintain web applications across the tech stack, designing backend services, APIs, and user interfaces while ensuring performance and scalability.

Work with a Quantitative Portfolio Manager in Austin to source, clean, and featurize financial datasets, run experiments to evaluate feature value, productionize features/models via a DAG scheduler, and contribute to the Python codebase while learning domain-specific forecasting and deployment.

Develop and research predictive alphas and algorithms on the BRAIN crowdsourcing platform, improve platform functionality, design new datasets/features, support business development, train and engage external users and consultants.