Token Metrics is an industry-leading cryptocurrency data, research, and ratings company. By blending the expertise of our investment team, data scientists, and engineers, we have built an exclusive AI powered software platform, that delivers comprehensive and institutional-grade cryptocurrency analyses.
Token Metrics is looking for a talented Cryptocurrency Quantitative Trader interested in joining one of the fastest growing companies in the FinTech market. If you are looking to join a high-performance team of quants, researchers, traders and technologists building a robust next gen trading platform, please review the role requirements below and submit your resume.
Responsibilities
- Collaborate with Developers, Researchers and Quants to research, design, test and deploy automated trading strategies;
- Improve existing and develop new automatic trading strategies and trade signals in cryptocurrency markets;
- Develop, maintain and improve research infrastructure to help research and trading including simulation framework, trade signal evaluation tools etc;
- Assist in building trading system components to monetize research and drive P&L optimization.
Requirements
- 3 years of quant trading experience (experience with futures / options strongly preferred);
- Experience with DeFi, StableCoin, Yield Farming, Short and Long Trading with Perpetuals, and Knowledge of Technical Analysis
- Experience with market making and market microstructure
- Experience in researching, designing, testing and deploying automated trading strategies;
- Ability to conceptualize trading ideas while also developing and improving quantitative models;
- Minimum of a Bachelor's degree in a quantitative subject, ie: Computer Science, Engineering, Finance, Math, Statistics. Masters degree preferred
- Strong technical toolkit, hands-on proficiency with C#/C++, Java, Python (required), R and/or SQL;
- Strong analytical skills and experience with analyzing large data sets
- Deep knowledge of statistical methods like time series, pattern recognition and/or machine learning to identify trading signals
- Passion for digital assets, the markets and new technologies
- Ability to communicate complex ideas clearly and to present to both technical and non-technical audiences
- Ability and aptitude to operate effectively in a fast-paced, fluid and ambiguous environment
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