
Data-driven investment strategies for a smarter future
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...
WorldQuant offers competitive salaries, performance-based bonuses, equity participation, generous PTO, and a flexible remote work policy to support wo...
WorldQuant fosters a culture of intellectual curiosity and data-driven decision-making, encouraging employees to leverage technology and quantitative ...

WorldQuant • New York OR Old Greenwich OR Austin OR Chicago OR Miami OR West Palm Beach
WorldQuant is seeking a Senior Market Data Engineer to design and build real-time market data processing systems. You'll work with technologies like Python, SQL, and AWS to drive technical innovation in financial strategies. This role requires strong experience in data engineering and market data systems.
You have 5+ years of experience in data engineering, particularly in building and optimizing data processing systems for financial applications. Your expertise in Python and SQL allows you to create efficient data pipelines and manage large datasets effectively. You are familiar with AWS services and have experience in deploying applications in cloud environments. Your knowledge of Kafka and Docker enables you to work with real-time data streams and containerized applications seamlessly. You thrive in collaborative environments, working closely with researchers and portfolio managers to understand their data needs and deliver high-quality solutions. You possess a strong analytical mindset and are driven by the challenge of solving complex problems in the financial domain. You are open to new ideas and continuously seek to improve processes and systems.
Experience with Elasticsearch is a plus, as it enhances your ability to manage and query large volumes of market data efficiently. Familiarity with financial markets and asset classes will help you understand the context of the data you work with, allowing you to contribute more effectively to the team's goals. You are comfortable with agile methodologies and have experience working in fast-paced environments where adaptability is key.
In this role, you will design and build real-time market data processing systems that cover global markets and multiple asset classes. You will architect and implement high-performance software solutions for processing market data feeds at scale, ensuring that the systems are robust and efficient. Your work will involve collaborating with cross-functional teams to drive the production of predictive signals that inform financial strategies. You will leverage your technical skills to innovate and improve existing systems, ensuring they meet the evolving needs of the business. You will also be responsible for monitoring system performance and troubleshooting issues as they arise, ensuring minimal downtime and optimal data flow.
You will engage in continuous learning and improvement, staying updated on the latest technologies and best practices in data engineering. Your contributions will directly impact the firm's ability to identify market inefficiencies and develop systematic financial strategies. You will have the opportunity to mentor junior engineers, sharing your knowledge and helping them grow in their careers. Your role will be pivotal in shaping the future of data processing at WorldQuant, as you help build the infrastructure that supports the firm's investment strategies.
WorldQuant offers a relaxed yet intellectually driven environment where you can thrive. You will be part of a team that values collaboration and encourages innovative thinking. The company is committed to hiring the best talent and fostering a culture of continuous improvement. You will have access to cutting-edge technologies and the opportunity to work on challenging projects that have a real impact on the financial markets. Competitive compensation and benefits are part of the package, reflecting the value placed on your expertise and contributions. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse perspectives lead to better outcomes.
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