Jobs at WorldQuant

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.

Conduct quantitative finance research by creating predictive alphas and utilization algorithms, studying academic literature, and identifying new research domains. Analyze and improve the BRAIN platform, design and test features and datasets, support business strategy, engage users and consultants, and deliver training. The role requires strong quantitative reasoning, programming skills, financial-market interest, creativity, persistence, and effective English communication.

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.

Support development and maintenance of portfolio management systems and tools. Collaborate with developers and portfolio managers to implement features, troubleshoot issues, monitor production, participate in code reviews, write tests, and learn modern development practices including LLM-assisted workflows. Strong technical learning and communication expected.

Lead HR for Vietnam offices (Hanoi, HCM): strategic HR business partnering, ensure legal compliance, oversee full employee lifecycle, drive engagement, retention, workforce planning, compensation benchmarking, HR analytics, Workday data integrity, and advise leadership on performance and employee relations.

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.

Design, implement, test and deploy high-performance C++ software on Linux to support large-scale quantitative research and production trading. Own technical challenges for scalable distributed systems, work with researchers and portfolio managers, and optimize data structures, algorithms and concurrency for production-grade performance.

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.

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.

Design, develop, and maintain core components of a C++ distributed data platform (storage engines, query/compute, RPC/networking, coordination). Collaborate with researchers and engineers to translate requirements, investigate and resolve production issues, participate in design and code review, and productionize features.

Maintain and validate a global Security Master across asset classes, manage corporate actions and exceptions, liaise with vendors/brokers/treasury, oversee consultants, run daily tests and ticket resolution, and support onboarding/testing of new features.

Develop systematic financial strategies, manage quantitative investment portfolios, and contribute to research initiatives with a focus on market inefficiencies.

Manage quantitative investment portfolios, develop systematic strategies utilizing market signals, and contribute to research and strategic initiatives.