Data Engineer

WorldQuant is a global quantitative finance firm that specializes in developing and deploying systematic financial strategies across various asset classes. The company is seeking a Data Engineer to join their technology team, working on sophisticated data pipelines and software systems.

The role offers a unique opportunity to work in an environment that combines academic rigor with practical results. As a Data Engineer, you'll be part of a business-facing technology organization, collaborating closely with researchers and portfolio managers. The company values intellectual capability and innovative thinking, creating an atmosphere where excellent ideas can come from anyone.

The ideal candidate will bring strong technical expertise in C++ and Python, with experience in data pipeline development. You'll work with modern data engineering technologies like Spark and Pandas, while implementing sophisticated data design patterns and software architecture principles. The role requires both technical excellence and strong communication skills, as you'll be working across teams in a collaborative environment.

WorldQuant offers a relaxed yet intellectually stimulating environment where technologists can thrive alongside like-minded professionals. The company's culture encourages open thinking about problems, balancing intellectual pursuit with practical implementation. They seek individuals who can think in code and are motivated by working with talented peers.

This position is ideal for someone who wants to apply their data engineering expertise in the financial technology sector, though prior finance experience isn't required. You'll be part of a company that values continuous improvement and challenges conventional thinking, working on projects that have real impact in the global financial markets.