Data Engineer

WorldQuant is a global quantitative finance firm that specializes in developing and implementing systematic financial strategies across various asset classes. The company is seeking a Data Engineer to join their team and contribute to their data infrastructure and processing capabilities.

The role combines technical expertise with financial industry applications, requiring strong programming skills particularly in C++ and familiarity with Python. As a Data Engineer, you'll be responsible for transforming complex data sets into standardized outputs that support quantitative analysis and financial engineering.

The ideal candidate will have at least 2 years of experience in data engineering, with a strong foundation in computer science principles and practical software development skills. You'll work in a collaborative environment that values intellectual curiosity and innovative thinking, alongside talented professionals from diverse backgrounds.

WorldQuant offers an attractive combination of intellectual challenges and practical impact. The company culture emphasizes continuous learning and development, with access to various training resources and knowledge-sharing opportunities. The compensation package is competitive, and benefits include premium health insurance, mental health support, and various work-life balance perks such as generous time-off policies and sabbatical opportunities.

This position offers the chance to work at the intersection of technology and finance, contributing to a platform that drives global investment strategies. You'll be part of a team that values both academic rigor and practical results, in an environment that encourages open thinking and continuous improvement.