Web3 Jobs in California, United States

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Job Position Company Posted Location Salary Tags

Business Technologies Ltd

San Francisco, CA, United States

Ancilia, Inc.

Mountain View, CA, United States

$89k - $110k

Coinbase

Mountain View, CA, United States

$32k - $80k

MachineFi Lab

Menlo Park, CA, United States

$45k - $75k

OKX

San Jose, CA, United States

$87k - $92k

OKX

San Jose, CA, United States

$85k - $93k

Laguna Games

San Francisco, CA, United States

$85k - $150k

3MetaD

San Jose, CA, United States

$45k - $82k

OKX

San Jose, CA, United States

$72k - $110k

FalconX

San Mateo, CA, United States

$84k - $148k

Calyptus

San Francisco, CA, United States

$98k - $110k

Ripple

San Francisco, CA, United States

$237k - $239k

Calyptus

San Francisco, CA, United States

$67k - $80k

IntelliPro

United States

$72k - $95k

All in Bits

San Francisco, CA, United States

$300k - $325k

Company Description

Business Technologies Ltd is a systems architecture and integration firm located in San Francisco Bay Area focused on broadband wireless access network deployments and enterprise IT solutions.

Role Description

This is a full-time hybrid Crypto/Stock Traders position located in San Francisco Bay Area with some flexibility for remote work. The Crypto/Stock Traders will be responsible for actively trading a diverse range of assets using advanced trading techniques and strategies. The successful candidate will have the opportunity to leverage proprietary trading systems and work with a team of other experienced traders and quantitative analysts to identify and capitalize on trading opportunities in both the crypto and stock markets.

Qualifications
  • At least 2 years of experience in trading, preferably with a track record of profitability
  • Deep understanding of technical analysis and various trading techniques, such as scalping, day trading, and swing trading
  • Strong knowledge of both the crypto and stock markets, and the ability to generate profitable trading ideas in both markets
  • Excellent quantitative and analytical skills, including experience with data analysis and modeling
  • Experience with machine learning and statistical analysis tools is a plus
  • Strong understanding of risk management principles and the ability to develop and adhere to a solid risk management plan
  • Bachelor's degree or higher in a relevant field, such as finance, economics, mathematics or statistics
  • Excellent communication and interpersonal skills, including the ability to work collaboratively in a team environment