WorldQuant
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The Financial Analyst will manage the cost allocation model, ensuring compliance and accuracy, prepare detailed reporting for both business partners and compliance, and support project management tasks. Responsibilities also include analyzing volume drivers and maintaining guideline monitoring for investment funds.
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.
As an Execution Researcher, you will refine execution capabilities for cash and derivative products by developing methodologies, maintaining broker relationships, and providing consulting services to Portfolio Managers. Your role will also involve formulating and testing hypotheses, evaluating new technologies, and automating processes.
As an AI Scientist at WorldQuant, you will conduct research in Machine Learning to enhance investment processes, produce predictive signals, design deep learning architectures, and collaborate with investment professionals to optimize algorithms.
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.
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.
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.
The Project Manager will be responsible for the efficiency of the project's operations, collaborating with leaders, setting organizational vision, developing strategies, maintaining relationships, and ensuring successful project execution. Key responsibilities include coordinating activities, implementing solutions, reporting on progress, and more.
Develop systematic strategies for global asset classes using statistical signals, lead and manage quantitative investment portfolio independently, and build research pipeline with autonomy.
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.
The role involves creating alphas and algorithms, conducting quantitative finance research, analyzing platform functionality, designing new features, and enhancing business strategies for user acquisition. Researchers will also conduct training sessions for users and update the curriculum.
The Experienced Quantitative Strategist will support Portfolio Managers with alpha research, modeling, and implementation of quantitative trading strategies, while building and maintaining tools for the research and management processes.
The Senior Software Engineer at WorldQuant will develop software that enhances the quantitative research operations. The role involves writing production-quality C++ code, understanding Linux system programming, and developing large-scale distributed systems. The candidate will face unique technical challenges and collaborate with others in a relaxed but intellectually driven environment.
Develop systematic strategies for a global investment platform, lead and manage quantitative investment portfolios, and contribute to firm research and strategic initiatives. Strong programming skills in Python and C++ required.
As a Senior Full Stack Developer, you will build complex data pipelines, frameworks for strategy and performance analytics, and develop user-friendly frontends for Portfolio Managers and Researchers. You'll work in a collaborative tech team with a focus on strong software engineering principles and innovative solutions.
As the Strategy and Operations Head for WQBrain in Singapore, you will lead the growth strategy and manage user engagement and operations for the Southeast Asia territory. Responsibilities include defining growth initiatives, user lifecycle management, and driving key initiatives in collaboration with internal and external partners to enhance WQBRAIN brand presence.
As a BRAIN Researcher at WorldQuant, you will create and develop predictive algorithms, conduct research on quantitative finance literature, and identify new research domains. You will analyze and enhance the BRAIN crowdsourcing platform and assist in business development activities including user training and curriculum updates.
The Head of Execution Trading Asia will lead the execution team for WorldQuant's trading strategies across various asset classes. Responsibilities include overseeing automated execution flows, advising on algorithmic methods, analyzing data for process improvements, and interfacing with multiple teams to solve complex trading problems.
As a Quantitative Developer at WorldQuant, you'll work with Technologists, Portfolio Managers, and Researchers on portfolio optimizers, build complex data pipelines, and frameworks for strategy and performance analytics. The role requires a strong quant dev skillset, excellent problem-solving abilities, and collaboration within a tech-focused culture.