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Queueco
Quantitative Researcher
2 months ago | 284 views | 1 applications

Quantitative Researcher

Full-time
Start-up
London

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

We are looking for skillful Quantitative Researchers to join our team. Responsibilities will include: 📍Research vast amounts of market data to identify patterns and express your own fully algorithmic trading strategies 📍Creating and implementing strategies into production which means your findings can be a direct revenue driver 📍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 📍We would consider all levels of experience from university graduate to experienced or more senior researchers. 📍Internships are also available within the team.

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)

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