
About WorldQuant
Data-driven investment strategies for a smarter future
Key Highlights
- Founded in 2007, headquartered in Old Greenwich, CT
- Employs over 1,000 professionals globally
- Focuses on quantitative investment strategies and machine learning
- Serves institutional clients and high-net-worth individuals
WorldQuant, LLC is a global hedge fund and quantitative investment management firm based in Old Greenwich, Connecticut. Founded in 2007, WorldQuant specializes in data-driven investment strategies and employs over 1,000 professionals across its offices worldwide. The firm utilizes advanced quantitat...
🎁 Benefits
WorldQuant offers competitive salaries, performance-based bonuses, equity participation, generous PTO, and a flexible remote work policy to support wo...
🌟 Culture
WorldQuant fosters a culture of intellectual curiosity and data-driven decision-making, encouraging employees to leverage technology and quantitative ...
Skills & Technologies
Overview
WorldQuant is hiring a Senior Data Engineer to build and maintain an ecosystem for processing multiple datasets vital to the firm’s investment operations. You'll work with Python to develop high-quality predictive signals. This position requires significant experience in data engineering.
Job Description
Who you are
You have 5+ years of experience in data engineering, with a strong background in building and maintaining data processing ecosystems. Your expertise in Python allows you to efficiently handle multiple datasets from various sources, ensuring data quality and accessibility for investment operations.
You thrive in collaborative environments, working closely with researchers and portfolio managers to drive the production of predictive signals. Your ability to think critically and challenge conventional thinking is essential in a culture that values intellectual horsepower and continuous improvement.
You are motivated by the opportunity to innovate and contribute to the development of systematic financial strategies. Your experience in financial markets or quantitative analysis is a plus, as it helps you understand the context in which your work impacts investment decisions.
What you'll do
In this role, you will design and implement data pipelines that process and integrate data from both internal and external sources. You will collaborate with cross-functional teams to ensure that the data infrastructure supports the firm's investment strategies effectively.
You will be responsible for maintaining data quality and integrity, developing tools and processes that enhance the efficiency of data handling. Your role will involve troubleshooting and optimizing existing data workflows to improve performance and scalability.
You will also engage in research and development activities, exploring new technologies and methodologies that can enhance the firm's data capabilities. Your contributions will directly impact the firm's ability to generate high-quality predictive signals, driving better investment outcomes.
What we offer
WorldQuant offers a relaxed yet intellectually driven environment where you can thrive alongside like-minded individuals. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and innovative ideas.
You will have the opportunity to work on cutting-edge projects that challenge conventional thinking and push the boundaries of data engineering in finance. Our culture promotes continuous learning and improvement, allowing you to grow your skills and advance your career.
Join us at WorldQuant, where your contributions will help shape the future of investment strategies and drive success in global markets.
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