Logo of Huzzle


Internship: DeFi Quantitative Trading

Logo of Queueco


15d ago

🚀 Off-cycle Internship


AI generated summary

  • You must have strong engineering skills in Python/C++/Java, knowledge of blockchain technology, problem-solving abilities, creativity, and a STEM degree from a top university for this DeFi quantitative trading internship.
  • You will research De-Fi market data, create trading strategies, manage your portfolio, analyze data, enhance simulations, and identify new trading markets.

Off-cycle Internship

Software EngineeringLondon


  • We are looking for bright and enthusiastic interns (Master/PhD graduates) to join the team to learn and develop skills used in quantitative research and algorithmic trading with a focus on De-Fi research. This is a hands-on front office trading role. You will see strategies you’ve developed traded in production.


  • Qualities that make you an ideal candidate may include:
  • Proficient in one or more of Python/C++/Java with a good foundation in software engineering principles
  • Familiarity with Blockchain technology is a plus
  • Complex problem solving, focusing on results rather than process
  • Unconventional thinking, creativity and persistence
  • Good mix of engineering and data science skills in the domain of time series analysis
  • Ability to build whole data analysis pipelines from data preparation and feature selection to efficient training, hyper-parameter optimisation, validation and testing
  • PhD, MSc from top tier universities in relevant STEM subjects (mathematics, physics, computer science)

Area of Responsibilities

Software Engineering


  • Researching vast amounts of De-Fi market data to identify patterns and express your own fully algorithmic trading strategies
  • Creating and implementing De-Fi strategies into production which means direct feedback on your work
  • Manage your portfolio of live strategies and adjust based on market conditions and upcoming economic calendar
  • Generating novel ways of analysing and interpreting our proprietary data
  • Improving the quality of our simulations and accuracy of forecasts
  • Shaping our trading footprint by identifying new markets to trade on


Work type

Full time

Work mode