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Deep Learning Data Scientist

Company

Fair Edge

Address San Francisco Bay Area, United States
Employment type FULL_TIME
Salary
Expires 2024-01-18
Posted at 9 months ago
Job Description

Summary

Help lead our deep learning-based training, testing, and development of our automated trading strategies.


About Us

We’re experienced subject matter experts building trading systems. We’re self-funded so we don’t have to answer to investors. The founder had a successful exit from a prior startup and is seeking to incubate profitable novel algorithms to offer new investment vehicles to traders. The ultimate goal is to take the company public.


Required Skills

  • 2+ years of experience in creating and optimizing deep learning and reinforced learning models that accelerated gains within a trading environment, or the equivalent in a research role


Preferred

  • Experience in financial engineering and quantitative modeling, including formulating trading strategies
  • Graduate degree in computer science, data science, AI/ML, mathematics/statistics, engineering, or an equivalent technical field
  • Excelled in a fast-paced startup environment


Compensation

  • Market compensation
  • Profit sharing (estimated minimum value of $25,000/year; maximum is uncapped)


We're a distributed team . . .

  • Non-Bay Area candidates are welcomed to apply if they plan to relocate to the San Francisco Bay Area
  • But this position will likely be part of our first physical office (in the San Francisco Bay Area)


Who should NOT apply:

  • Those not comfortable in a startup
  • Those who feel burdened if given responsibility and freedom to choose what they work on
  • Those that need structure and direction


Who should apply

  • You want freedom and responsibility to prioritize projects
  • You want to change the current trading landscape, particularly for retail customers, and significantly improve their financial futures
  • You have the ability to challenge ideas while seeking consensus that allows us to check ourselves while moving as quickly as possible
  • You seek a professional challenge and want to be financially rewarded with profit sharing
  • You want to learn at a much faster rate compared to working at more established companies
  • You proactively fix what is broken and take pride in taking ownership
  • You seek freedom to build an ML infrastructure from the ground up without being fettered by legacy technical infrastructure or debt


Apply

  • Email your CV or Linkedin profile to [email protected]
  • Briefly tell us how you envision accelerating the company's growth based on what you've accomplished