Hunter&Talent has partnered with an established quantitative trading hedge fund located in Midtown Manhattan in the search for a PhD graduate Machine Learning Researcher. The role will focus on creating an AI/ML managed system using neural networks and deep learning that will enable better forecasted trading strategies.
The company
The firm is known for its innovation and state-of-the-art technological environment. From an early adoption the company had a vision to become an industry leader in its specific domain, with a strong focus on making advances through the latest computational systems available.
The team
A dedicated group of scientists and mathematicians working towards creating an AI/ML system that will take market forecasting a step further, allowing for a type of learning where existing trading algorithms are not capable of “real-time learning”.
Responsibilities
- Understand layers behind algorithms, to work around and understand their functionality and to be able to manipulate the layers.
- Build predictive models with Decision trees, K-means cluster, Bayesian inference, and Neural Networks (NLP).
- Work in collaboration with engineers, quantitative researchers, traders to help understand and architect the system.
Requirements
- PhD from a leading university in mathematics, statistics, computer science or a similar quantitative field with publications.
- Research ability demonstrated by journal and conference publications.
- Previous or current reviewer for NeurIPS, ICML, ICLR, AAAI etc.
- Extensive Python programming including experience with NumPy, SciPy, Pandas, and SciKit-learn.
- Experience with Neural network packages such as TensorFlow, Keras etc.
To learn more about this opportunity, please feel free to reach out directly. All applications will be treated in the strictest of confidence.