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The Senior Software Engineer at WorldQuant will be responsible for developing components for the Alpha Factory, working closely with the operations team, adopting CI/CD techniques, and ensuring timely and reliable software delivery. The role involves developing robust backend services, proposing system designs, participating in agile engineering teams, automating CI/CD processes, monitoring platform reliability, and working with open-source technologies.
The Senior C++ Software Engineer at WorldQuant is responsible for writing production-quality code, developing large-scale distributed systems, and bringing solid experience to the team. The role involves building software for quantitative research operations and portfolio production.
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.
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.
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.
WorldQuant is seeking a Quantitative Developer to work in its Macro team, focusing on complex data pipelines, strategy framework, and trading systems. The role involves acquiring in-depth domain knowledge of the Quant Macro space and designing/implementing quant tech infrastructure for Macro trading.
WorldQuant is seeking a Python Engineer with 2+ years of experience to work on complex data pipelines and software systems. The role involves collaborating with teams, implementing data design patterns and software architecture, and utilizing technologies like Spark and Pandas.
As a Quantitative Researcher, you will pursue the creation of predictive models to identify market inefficiencies, collaborating with teams to develop financial strategies based on data-driven insights. A strong analytical mindset is essential, along with a willingness to learn about finance and global markets.
The Data Scientist will analyze and model financial datasets using machine learning techniques, process and clean data to derive insights, and develop data to predict financial market movements.
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.
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