Machine Learning Quantitative Researcher
As a Senior Data Scientist, you are free to explore unique solutions and try fresh ideas that will benefit our trading business and investment companies. You’ll collaborate with some of tech’s and analytics’ sharpest minds to solve the firm’s ever-changing but exciting challenges. Working in tech here means that you’ll always be presented with a variety of new possibilities as you continue to enhance your skills.
Please note that we do not require prior knowledge of financial markets for this role, and will offer all the training you need to be successful.
You’ll be responsible for:
- Converting human pattern recognition and decision-making processes into automated aspects of the trading workflow.
- Finding innovative solutions to known problems that will support and expand our core business.
- Driving the firm forward with new ideas that will impact the way we leverage market data.
- Defining best practices within our analytics team regarding prototyping and scaling solutions.
- Assisting software developers in translating research results to production.
- Mentoring junior researchers on the analytics and trading teams.
While you’ll gain experience in this role, you should already have:
- 5+ years of experience in either machine learning, deep learning, stats, compute science/engineering, with at least 2 of those years focused on machine learning or deep learning.
- A demonstrated track record of applying ML techniques to real-world problems.
- Extensive knowledge of statistical modeling.
- An interest in staying up-to-date with recent advances in machine learning.
- The ability to collaborate with subject matter experts in defining appropriate features and metrics for a given model.
- The confidence to take the lead on a project, work through the practical business decisions involved, and carry it to completion in a timely manner.
- Comfort implementing new models from papers.
- Experience working with large, noisy, or incomplete data sets.
- Expertise in Python (Pytorch and Tensorflow preferred) and SQL.