Job Description
Responsibilities
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- 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
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- 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
To apply for this job please visit jobs.lever.co.