Quantitative Developer

Tudor Investment Corporation seeks a Quantitative Developer in New York, NY to architect & implement high throughput systems for performing time series signals and trading research, including the application of modern statistical and machine learning techniques. Optimize systems for running experiments at scale (inc. on modern Linux-based HPC systems and parallel file systems). Develop and tune highly complex numerical & stochastic optimization implementations with idiosyncratic objective functions. May work remotely 2 days per week within normal commuting distance of New York, NY.

Requirements: Master’s degree in Computer Science, Engineering or related field and 1 year exp. in statistical learning models, machine learning and familiarity with modern AI research methods. Requires 1 year exp. with systems programming on Linux systems, inc. performance monitoring and tuning. The required skills do not need to be maintained over the full term of required experience.

Wage range: $175,000-$200,000