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Lead project management activities across technology and business teams: plan resources, track status, risks, and issues; gather and analyze requirements and data; document processes and design solutions; build demos; develop analytics and reports; support implementation; drive process improvements; set and map OKRs to developer activities and report progress to stakeholders.

Design, develop, and maintain core components of a distributed data platform (storage, compute, RPC/networking, coordination). Collaborate with researchers and engineers to translate requirements, troubleshoot production issues, participate in code review, system design, and productionization.

WorldQuant seeks a Quantitative Developer to create data pipelines and software for financial strategies, collaborating with the Macro Team.

Design, build, and maintain large-scale, high-performance distributed systems and backtesting platforms. Write production-quality Python on Linux, learn/use C++, and apply strong data-structures, algorithms, concurrency, and system-programming skills. Collaborate with researchers to support scalable quantitative research and production trading workflows.

As a Full Stack Engineer, you will develop and maintain internal web applications, create API specifications, and write well-designed code while collaborating on AI-related projects.

Join a quantitative research team to develop financial strategies by analyzing large datasets and generating predictive signals. Collaborate with data scientists and engineers to enhance research quality.

We are looking for a Senior Python Engineer with expertise in data pipelines and AI/ML systems. Responsibilities include leading technical objectives, mentoring, and architectural decisions. Candidates should have over 5 years of Python experience and strong data engineering skills.

The Data Science Intern will analyze financial datasets, verify unstructured data, and develop predictive models using machine learning techniques. No prior finance experience is needed, but a strong interest in finance is essential.

Seeking a Senior Python Engineer for managing data pipelines, AI/ML systems, and providing technical leadership in a collaborative team environment.

As an AI Software Developer, you'll create AI-driven solutions, collaborate with teams, gather requirements, and manage product deliverables in a financial context.