Quantitative Developer (Релокация в Армению)

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.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Developer. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Quant Developers will design, code and implement proprietary systems and tools to drive our forecast business. You will collaborate with researchers and PM’s to gather, analyze and spec out requirements, develop/test code, and manage product deliverables. A successful candidate will help build the soware that will be used by Portfolio Managers to construct portfolios.

Job Responsibilities (including, but not limited to, the following)

• B.Sc./M.Sc./Ph.D. from a leading university in a Computer Science, Engineering, or related discipline
• Experience and in depth knowledge of Equities is highly preferred
• Graduated at the top of your program, with excellent problem solving abilities, insight, and judgment as well as a strong attention to detail
• Expert-level knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc
• Demonstrated ability to program in a scientific computing environment, preferably in Python/Numpy and C++
• Working understanding of basic probability, statistical inference, soware solvers, mathematical optimization
• Strong communication skills; ability to express complex concepts in simple terms