Quantitative Software Engineer
We are seeking exceptional technologists with advanced mathematical and statistical abilities to join our team. Equal parts code experts and mathematical thinkers, our quantitative software engineers bring together technical and analytical expertise to grapple with difficult computational and data-related problems directly and implement efficient and innovative solutions. Entailing a sophisticated knowledge of algorithms, statistics, and high-performance computing, this effort has attracted ACM programming competition finalists, Top Coder contenders, and other highly technical, competitive problem solvers.
Quantitative software engineers are responsible for bringing our wealth of ideas to fruition by:
- Designing and implementing trading strategies;
- Building the tools and engines that bring our platforms and models to life.
- At a minimum, a bachelor's degree in computer science, applied mathematics, or another technical discipline from a top university.
- Strong numerical programming skills utilizing technologies such as numpy, scipy, or scikit learn.
- Experience with scientific computing and algorithm development.
- A background or interest in building large-scale, real-time, and distributed applications is desired.
- Experience developing high-performance, multi-threaded applications using several programming languages including C++.
- Knowledge of scripting languages such as Python.
- While we analyze the data-rich domain of finance, financial experience is not a requirement.