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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 750+ employees globally, over half 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: WorldQuant is seeking an exceptional candidate to join the firm as a Quantitative Developer. The right candidate will be able to use their development and practical thinking skills to slice through complicated challenges to find the most clear and effective solutions. Quant Developers will design, code and implement proprietary systems and tools to help bring research ideas to life, and have a real business impact. You will collaborate with other data scientists, portfolio management experts, mathematicians and computer scientists to gather, analyze and spec out requirements, develop/test code, and manage deliverables. A successful candidate will have a track record of solving problems, be comfortable thinking outside the box, and bring cross-disciplinary solutions into play.
What You’ll Bring:
BSc. in Computer Science, Engineering or a related disciplinefrom a leading university
Minimum 2-3 years of industry experience
Proficiency in Python, including Pandas & Numpy libraries, strong background in C++
Experience working in Linux environment
Experience working with SQL DB & building distributed or data intensive systems is a big plus
Familiarity with Machine Learning is a plus
Familiarity with Google Cloud is a plus
Experience with user interface development is a plus
Demonstrated problem solving abilities, insight, and judgment as well as a strong attention to detail
Strong communication skills; ability to express complex concepts in simple terms