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 market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant 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. 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. The Role: We are seeking an exceptionally talented Quant Developer to join our team. The job responsibilities include, but are not limited to, the following: Build and maintain tools and libraries for alpha research, portfolio constructions, risk management and post-trade analysis etc. Leverage the firm's infrastructure to build scalable solutions for backtesting and portfolio optimizations Work with PMs and Quant Strategists to learn and improve daily trading operations Support PMs and Quant Strategists in strategy research and development by applying cutting-edge machine learning and AI techniques

WorldQuant is a quantitative asset management firm, founded in 2007, with more than 850 employees across 13 countries.