Purpose

Melding Deep Learning and Trading - We are looking for exceptional deep learning scientists and engineers to embark on our journey to deploy state-of-the-art deep learning and machine learning algorithms for trading in the global macro space with an initial focus on currency options.

Responsibilities

1. Implement state-of-the-art deep learning and machine learning models for feature engineering and question/answer/prediction in investment platform
2. Conduct original research on our large repository of data, both proprietary and open-source
3. Write production-level code linking new and existing data pipelines with scripts for feature engineering, machine learning predictive models and visualization
4. Write tests to check for integrity of our data, models and predictions

Requirements

1. Comfortable with core machine learning algorithms implementation and theory
2. Advanced in scripting languages (Python, R and UNIX Shell), Git project management, deep learning frameworks (PyTorch /Keras / TensorFlow), and programming skills (Java or C++)
3. Strong background in statistical methods (Bayesian statistics, time series, and feature engineering)
4. Question and Answering modelling (Squad/ News dataset)
5. Can communicate clearly and cogently on concepts, processes and algorithms used
6. Ability to work in time-sensitive environments and to approach problems from different angles
7. Deep learning experience
8. Knowledge of basic finance
9. Database management

Differentiating Factors

1. Publishing at top deep learning conferences like ICLR, NIPS and ICML.
2. Have participated in Github machine learning project.
3. A vibrant Github account with open-source repositories useful to the community
4. Significant experience at a top research lab, financial/investment analytics entity, or hedge fund