About the company
Queueco is a proprietary trading firm that engages in both conventional as well as cutting-edge alternative markets. Our strategies run 24/7 without manual intervention powered by low-latency infrastructure and the latest machine learning techniques. We're a meritocratic and lean team of highly-motivated scientists and developers and as such value technical ability more than politics: what matters is how good your code is, not how well you sell yourself. We spend no time dealing with clients, customers or investors and instead focus on growing our business by building better technology.
Job Summary
Description
šWe 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. šThis is a hands-on front office trading role. You will see strategies youāve developed traded in production.
You will be supporting our quantitative researchers in the following areas:
šResearching vast amounts of De-Fi market data to identify patterns and express your own fully algorithmic trading strategies šCreating and implementing De-Fi strategies into production which means direct feedback on your work šManage your portfolio of live strategies and adjust based on market conditions and upcoming economic calendar šGenerating novel ways of analysing and interpreting our proprietary data šImproving the quality of our simulations and accuracy of forecasts šShaping our trading footprint by identifying new markets to trade on
Requirements
Qualities that make you an ideal candidate may include: šProficient in one or more of Python/C++/Java with a good foundation in software engineering principles šFamiliarity with Blockchain technology is a plus Complex problem solving, focusing on results rather than process šUnconventional thinking, creativity and persistence šGood mix of engineering and data science skills in the domain of time series analysis šAbility to build whole data analysis pipelines from data preparation and feature selection to efficient training, hyper-parameter optimisation, validation and testing šPhD, MSc from top tier universities in relevant STEM subjects (mathematics, physics, computer science)