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Seeking experienced Quantitative Strategist with 2-8 years of quantitative research and/or quantitative development experience. Responsibilities include alpha research, modelling, portfolio construction, and system maintenance. Requires programming skills in Python and/or C++, knowledge of Linux, and strong problem-solving abilities.
Seeking a Senior DevOps Engineer to work on complex distributed architecture, managing complexity, troubleshooting connectivity issues, and championing operational excellence. Requires expertise in Linux, network stack, CI/CD, Kubernetes, Docker, SQL, Python, and Go.
Seeking a talented data scientist with strong modeling and programming skills to work on financial datasets using machine learning techniques, clean and process data, create data for predicting financial market movements, and transfer data using algorithmic techniques.
Seeking a Senior DevOps Engineer to work on complex distributed architecture, managing complexity and tackling problems across multiple stack layers. Responsibilities include Linux operating system internal, network stack troubleshooting, CI/CD technology, Kubernetes, Docker, Telemetry frameworks, scripting with Python or Go, and deep SQL experience.
Seeking an experienced Python developer to build and maintain a data processing ecosystem for processing multiple datasets from various sources. Responsibilities include creating automated data processing systems, integrating data sources, developing interfaces in Python, preprocessing data, and supporting the Business Analysts team.
WorldQuant is seeking Researchers to join the BRAIN team, responsible for creating and developing Alphas, conducting research on academic quantitative finance literature, platform development, and business development. Ideal candidates should have programming experience in Java, C++, C, Python, MySQL, SQL, possess a Bachelor's degree in a quantitative field, research scientist mindset, strong interest in financial markets, and good communication skills.
Develop systematic strategies using statistical signals for a global investment platform. Lead and manage a quantitative investment portfolio while contributing to firm research and initiatives. Require 2+ years' experience in systematic strategies with a strong track record in PnL and Sharpe ratio. Strong programming skills in Python and C++ are essential.
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.
Conduct research in Machine Learning, produce trading signals, implement ML algorithms, collaborate with team members, and optimize algorithms for investment professionals.
The Business Analyst role at WorldQuant involves onboarding Portfolio Managers to the WorldQuant platform, managing requirements, analyzing business processes for efficiency, and developing metrics for program health assessment. The role requires a degree in quantitative, technical, or business discipline, 3-5 years of financial services experience, and skills in project management, Excel, JIRA, SQL, Python, and interpersonal communication.
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