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Crypto Trader Remote
1 month ago
**About Our Client Company**
Our client’s company is certified to act as an approved investment manager and is regulated by the BVI Financial Services Commission. They are Bitcoin and cryptocurrency experts, and specialize in algotrading and identifying undervalued investments. They manage the Capriole Fund for high-net-worth individuals all around the world. Capriole drives returns by looking at data in new ways - we understand that markets are not efficient. Their passion for finding inefficiencies and true value is what drives their success.
**More details**:
Develop trading strategies which outperform Bitcoin
Identify valuable and predictive data sources
Build unique indicators and metrics to drive investment decisions and signals
Skilled in investment risk-reward decision making
**Requirements**:
At least 2 years of experience working as a trader or doing quantitative research at a well respected fund or research firm
Track record of profitability (could be a realistic backtest, algorithmic or manual live-trading track record)
Data modeling skills (experience in Python or other data science language)
Expertise in finding, integrating, optimizing and analyzing new datasets
Quantitative mindset
Creativity in coming up with new trading ideas and approaches
Expertise in trading Bitcoin, altcoins and/or other crypto assets in a professional fashion
Experience in working in a research and trading oriented team
Systematic approach and attention to detail
**Offer**:
Interview process: typically involves 2-3 interviews, with the second one revolving around a project and/or provision of evidence of their live trading capability
Salary fork: not disclosed upfront but compensation will be competitive and based on prior experience and location
Salary make up: Pay will consist of fixed salary, bonus and equity
Starting date: as soon as possible
Schedule:
- Day shift
Ability to commute/relocate:
- Remote: Reliably commute or planning to relocate before starting work (preferred)
**Experience**:
- Quant algo and trading: 2 years (required)
- building profitable live trading strategies: 2 years (required)
- python / automated trading: 2 years (required)