Top Tech Jobs & Startup Jobs

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.

Perform application security reviews, white-box testing, and vulnerability identification; build and operate security tooling (secrets management, OIDC, CA, workload identity); develop continuous audit/code analysis tools; support and extend foundational authentication components (Kerberos, SSH, SSL, AD); collaborate with developers, researchers, and portfolio managers to define and implement security best practices.

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.

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.

Monitor automated execution across equities, FX, futures and other asset classes; provide first-line support for execution flow; analyze large datasets to improve automation and reduce implementation costs; run projects to add liquidity and lower execution costs; interface with portfolio managers, brokers, risk, compliance and senior management.

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.

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.

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.

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.