LedgerPrime is a digital asset investment firm. With a commitment to rapid innovation and a technology first and data-centric approach, LedgerPrime seeks to become a global leader in generating sustained and superior risk-adjusted returns.
We are a team of researchers applying scientific rigor and a disciplined process to investing in the fastest growing asset class in the world.
LedgerPrime is seeking a dynamic and talented quantitative oriented individual to help develop quantitative strategies for live trading in the digital asset spot and derivatives space. This individual will work closely with Portfolio Managers of LedgerPrime to ideate, backtest, and develop trading signals and strategies. Individuals will also play a significant role in managing the risk of the firm’s overall portfolio, and will help develop novel risk management tools and techniques.
What We Are Looking For
Excellent understanding of and experience with common data science toolkits
Production-level programming skills in Python, C++, or other scripting languages
Proficiency in using query languages and databases such as SQL, KDB, MongoDB
Experience with financial markets, especially pertaining to market microstructure, algorithmic trading, signal development, and backtesting mid to high frequency strategies
Expertise in applied statistics skills, such as distributions, statistical testing, regressions
Excellent understanding of and some experience with machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests
Great communication skills and data-oriented personality
CAREER DEVELOPMENT AND WORK ENVIRONMENT
LedgerPrime emphasizes a culture of continuous learning and development. As a fast growing startup, there are myriad opportunities to develop new skills and develop new areas of business that one can gain responsibility in managing. We allow flexible working hours in return for high-quality output and results, frequent communication and responsiveness, and a firm dedication to our mission and team. Benefits include frequent travel, a world class healthcare plan, a competitive salary, and a bonus.
To apply, send us your CV with a short introduction and why you would be a good fit.