WorldQuant
Jobs at Similar Companies
Similar Companies Hiring
Jobs at WorldQuant
Search the 62 jobs at WorldQuant
Recently posted jobs
As a Full Stack Engineer, you will develop and maintain internal web applications, taking responsibility for products and features. You will design scalable solutions, write clean code, ensure product stability, and provide documentation and support. Collaboration with researchers and portfolio managers is key in this intellectually driven environment.
As a Software Engineer at WorldQuant, you'll develop and improve the data layer and computational framework supporting quantitative strategies. You'll work closely with Quant researchers, contributing to the entire cycle of the Quant business.
Building a new software engineering team with strong applied AI orientation to create company-wide applications addressing colleagues' everyday problems. Responsibilities include collaborating with cross-functional teams, gathering requirements, designing and building AI-driven products, and staying updated on AI advancements.
As a Quantitative Developer at WorldQuant, you will work closely with tech teams, portfolio managers, and researchers to design, code, and implement complex data pipelines and frameworks for strategy and analytics, emphasizing best practices in software development and a collaborative approach.
As a Quantitative Developer, you will collaborate with tech teams, portfolio managers, and researchers to develop complex data pipelines and frameworks for strategy and performance analytics, emphasizing strong design and implementation principles.
The Senior Python Software Engineer will develop software for large-scale quantitative research operations, focusing on building a scalable and efficient platform. Responsibilities include writing production-quality code, working with distributed systems, and engaging in machine learning and concurrent programming.
Participate in the development and maintenance of a large-scale, distributed storage platform. Collaborate with stakeholders to understand business requirements and propose solutions. Provide technical support for platform-related issues.
As a Software Engineer, you'll write low latency, high throughput C++ code, implement critical trading infrastructure, and work with portfolio managers to enhance trading systems. You will adapt existing systems to a next-generation trading platform.
As an AI Quantitative Strategist at WorldQuant, you will develop and implement AI/ML models for trading optimization and investment strategies. You will work collaboratively on innovative projects while leveraging state-of-the-art data and systems. The role emphasizes building infrastructure for AI and involves explaining model business value to stakeholders.
As a Full Stack Software Engineer at WorldQuant, you will build complex data pipelines and frameworks for strategy and performance analytics. The role involves developing scalable services and engaging in architecture and frontend development to enhance user experience for Portfolio Managers and Researchers.
Develop software enabling large-scale quantitative research operations at WorldQuant. Own unique technical challenges and bring solid experience to the team. Write production-quality code in C++ on Linux platform, develop large-scale distributed systems, and have strong expertise in data structures, algorithms, and concurrency patterns.
Building software for large-scale quantitative research operations and portfolio production at WorldQuant. Requires 7+ years of production-quality C++ coding experience on Linux, expertise in system programming, and proficiency in data structures and algorithms.
The Senior Quantitative Researcher will build algorithmic models, conduct research on quantitative finance literature, and explore new data to inform financial strategies. A focus on innovative methods in applied mathematics and relevant programming skills is essential for success in this role.
Architect As-A-Service solutions based on Open Source Software. Develop tools for rapid deployment and monitoring in a distributed environment. Collaborate on innovative software solutions, participate in on-call duties.
The Quantitative Researcher role at WorldQuant involves building algorithmic, computer-driven models, conducting research on academic quantitative finance literature, exploring new data, and applying innovative methods in Applied Mathematics, Computer Science, and Financial Economics.
As a Quantitative Researcher at WorldQuant, you'll conduct rigorous research to develop models that predict financial market movements. Your role will involve converting data into mathematical expressions to identify potentially undiscovered predictive signals. Candidates should have a strong academic background in quantitative fields and be eager to learn about finance.
The Quantitative Researcher at WorldQuant will build algorithmic, computer-driven models, conduct research in academic quantitative finance literature, and analyze data by applying innovative methods in applied mathematics, computer science, and financial economics. A deep understanding of investment research processes is essential, along with a self-driven, resourceful problem-solving mindset.
As a Quantitative Researcher at WorldQuant, you will conduct rigorous explorations to identify high-quality predictive signals for financial markets. Utilizing your programming skills in C/C++ on Unix/Linux platforms, you will create computer-based models aimed at forecasting market movements. Collaboration and creativity are essential as you work within a team-oriented culture focused on continuous learning and problem-solving.
Support Portfolio Managers with alpha research, modeling, portfolio construction, optimization, and implementation of quantitative trading strategies. Build and maintain tools and systems used in the quantitative research and portfolio management processes.
Seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies. Responsibilities include developing systematic strategies, managing quantitative investment portfolio independently, and leading a research team. Requires 2+ years' experience in developing systematic strategies with strong programming skills in Python and C++.