Top Tech Jobs & Startup Jobs

Lead development of complex data pipelines, AI/ML systems, and software solutions. Provide technical leadership, mentor engineers, conduct code reviews, make architectural decisions, and collaborate with technical and non-technical stakeholders. Maintain hands-on Python development using scalable data engineering practices, cloud platforms, containerization, CI/CD, and machine learning frameworks. Experience with large language models and AI agents is highly desirable.

Provides level-one operational support to front-office teams and portfolio managers, including regional start-of-day checks, exception and alert management, trading outage resolution, issue escalation, workflow improvement, and global activity reconciliation. Handles counterparty breaks and supports daily portfolio and treasury operations. Requires flexibility for night shifts and strong problem-solving, communication, and attention to detail.

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.

Monitor automated execution across equities, foreign exchange, futures, and other asset classes. Provide first-line support for execution issues, improve automation and liquidity integration, analyze large datasets, reduce implementation costs, and collaborate with portfolio managers, brokers, compliance, risk, and senior management.

Research and develop quantitative signals from high-frequency equity market data. Responsibilities include feature engineering, exploratory data analysis, simulation and backtesting, validation across markets and regimes, signal implementation, and collaboration with quantitative researchers and engineers. The role also involves applying machine learning and deep learning to market microstructure, building production-quality low-latency code, exploring data sources, and developing tools to automate software development, testing, and deployment workflows.

Design, develop, and maintain systems, interfaces, and tools for portfolio management. Collaborate with portfolio managers and developers to translate requirements, investigate and resolve issues, monitor and support production systems, participate in code reviews, testing, and documentation, and improve team productivity using modern tools and LLMs.

Build and operate scalable, reliable production systems for an investment pipeline. Responsibilities include monitoring performance, managing CI/CD and release processes, containerizing and scaling services, maintaining hardware and filesystems, applying security practices, supporting system design, responding to incidents, and improving operational efficiency in collaboration with engineering teams.

Support quantitative researchers with data studies, idea generation, and alpha construction for systematic financial strategies. Interns will use a sophisticated research platform and large datasets across global asset classes, collaborate with international teams, and develop quantitative research and programming skills. The six-month program begins in May 2027.

Build scalable AI-driven applications that improve productivity across WorldQuant. Responsibilities include collaborating with distributed cross-functional teams, gathering and specifying requirements, managing product deliverables, designing and deploying AI products, and staying current with AI and large language model advances.

Troubleshoot complex user issues involving data, technology, and trading signals; collect and communicate user feedback to Product, Sales, and Marketing. Develop backend systems focused on performance, load sequencing, software quality, security, access management, storage, data versioning, and server-side web applications.