Over a decade of experience in the development and implementation of quantitative finance applications: automated / algorithmic trading systems and forecasting models. Focus on applying machine learning, stochastic optimization and statistical approaches to investments.
Remote:Yes
Willing to relocate: Yes
Technologies: C++, Python, R, ArrayFire, Nvidia Rapids, Google Jax, NumPy, SciPy, StatsModels, scikit-learn, TensorFlow, PyTorch, Keras
Résumé/CV: https://bit.ly/3J3BEl6
Email: [email protected]
Over a decade of experience in the development and implementation of quantitative finance applications: automated / algorithmic trading systems and forecasting models. Focus on applying machine learning, stochastic optimization and statistical approaches to investments.