Internship: Quantitative Researcher

Queueco

Apr 4

Applications are closed

Internship
Full-time
Off-cycle Internship
Data
London

Requirements

Qualities that make you an ideal candidate may include:
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)

Responsibilities

You will be supporting our quantitative researchers in the following areas:
Researching vast amounts of market data to identify patterns and express your own fully algorithmic trading strategies
Creating and implementing strategies into production which means direct feedback on your work
Efficiently processing, storing, and retrieving huge amounts of market data to identify trading opportunities
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

Queueco

Strategies and technology that work smarter and more efficiently

Finance

Industry

1-10

Employees

2014

Founded Year

Mission & Purpose

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. If this sounds interesting to you please have a look at our current openings. In case there's no vacancies listed but you feel you can make a strong difference in engineering or research please send us your speculative application.