The firm was founded by engineers and retains its original code-first ethos by hiring technically minded individuals who like solving complex technical puzzles and being handsomely paid for it. As well as from top tier quant firms, personnel has come from DeepMind, OpenAI, NVIDIA. Their aim was to differentiate themselves from certain investor/trader-driven competitors where domineering investment professionals run the roost and engineers are a support function, and rework the narrative so that the engineers are the impact makers.
They trade Systematic Equities in Europe, Asia and North America and their returns have been astonishing. They have done so through leveraging advanced Deep Learning and NLP techniques, finding ‘alpha’ in alternative datasets that competitors haven’t even thought to source, and building beautifully clean software and infrastructure.
On that thread, they are compiling a team in Seattle to build a modern distributed compute and storage infrastructure to improve data ingestion and processing and optimize alternative driven strategies.
Required background:
- Genuine expertise in Python is vital.
- Any experience building distributed ecosystems or Python tooling and infrastructure is very interesting to them.
- Computer Science or Electrical Engineering background, top institution. You’ll need CompSci fundamentals to build the quality of software necessary.
- Red hot communication to be able to collaborate effectively with ML scientists and Quant Researchers.
Pre-Application:
- Please do not apply if you're looking for a contract or remote work.
- You must be eligible to live and work in the US, without requiring sponsorship.
- Please ensure you meet the required experience section prior to applying.
- Allow 1-5 working days for a response to any job enquiry.
- Your application is subject to our privacy policy, found here: https://www.thurnpartners.com/privacy-policy
