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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 |
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
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