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Quantitative Developer
WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on exploiting market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. Our teams are lean and agile, which means rapid prototyping of products with immediate user feedback. We seek people who think in code, aspire to tackle undiscovered computer science challenges and are motivated by being around like-minded people. In fact, of the 600 employees globally, approximately 500 of them code every day.
WorldQuant’s success is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. That’s a key ingredient in remaining a leader in any industry.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Our collective intelligence will drive us there.
The Role: As a Quantitative Developer, you will:
Partner with Quantitative Researchers and Portfolio Managers on design and implementation of intraday research framework
Review and refactor the existing research tools; innovate and develop new libraries which improve the research process
Convert research ideas into efficient code; assist the researchers in the development and testing of the new quantitative models
Collaborate with technology teams on the production of the models and strategies, continuously improve its robustness and efficiency
What You’ll Bring:
Computer science or engineering background
2 years of experience in technology roles in financial institutions, or relevant technology firms; direct exposure to systematic trading strategies preferred
Efficient in C++ and Python; hands-on experience with machine learning libraries preferred
Deep passion and interest for technology in financial markets
Analytical, meticulous, result-driven with problem solving abilities
Entrepreneur approach with ability to take ownership of the problems and make progress in challenging environment