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Utilising the OpenStack Placement service to schedule GPU and NVMe workloads alongside general purpose instances
  • 24 Feb 2020

We are going through a period of growth and transforming the way that we build and deploy our platforms at G-Research. A big part of this involves the creation of a heterogeneous OpenStack cloud, which focuses on security, high-performance compute (HPC) and providing users with the ability to self-serve infrastructure on demand. The Challenge Whilst […]

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Advanced recursion techniques in F#
  • 19 Feb 2020

What is a recursive function? The way information flows through a program depends on how functions are connected together. For example, function A can call function B, which in turn calls function C, and so on. However, sometimes the situation arises when you need to perform one operation multiple times, and in those cases recursive […]

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Virtual Quant Finance Algorithmic Challenge – Belgium
  • 13 Feb 2020

Tuesday 5th May 2020 Quant Finance Algorithmic Challenge: 15:00 – 18:00 (CEST) Q&A and online networking: 18:00-19:00 (CEST) This online challenge involves taking part in a live trading simulation game that will give you an insight into the world of quantitative finance. The event will be run by our Quantitative Researchers and Machine Learning Specialists, […]

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A day in the life of a QPO Engineer
  • 07 Feb 2020

Edmund Heyes is a QPO Engineer here at G-Research, and he shared with us what a typical day is like in his role. 07:00 I’m usually in early and leave early on Thursdays, as I like to take advantage of G-Research’s flexible hours. Today it looks like I’ve beaten the cleaners in, which is a […]

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Quantitative Trading Case Study – Krakow
  • 03 Feb 2020

Date: Friday 28th February 2020 Time: Algorithmic Trading Game: 17:00 – 19:30 Drinks & Food: 19:30-21:30 Location: Radisson Blu Kraków, ul. Straszewskiego 17, 31-101 Kraków, Poland You will be able to take part in a live trading simulation game that will give you an insight into the world of quantitative finance outside of the traditional […]

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Quantitative Trading Case Study – Warsaw
  • 03 Feb 2020

Date: Thursday 27th February 2020 Time: Algorithmic Trading Game: 17:00 – 20:00 Drinks & Food: 20:00-22:00 Location: Sheraton Warsaw Hotel, Boleslawa Prusa 2, 00-493 Warsaw, Poland You will be able to take part in a live trading simulation game that will give you an insight into the world of quantitative finance outside of the traditional […]

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Open-source at G-Research: a pragmatic approach
  • 03 Feb 2020

When G-Research was founded in 2001, the tools to perform large-scale data science were few and far between.  Fewer still were the number of open-source tools available to perform large-scale data science. At the time, it made perfect sense for G-Research to turn to the available 3rd-party technologies and in-house development to fill the gap. […]

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G-Research launch new Corporate Social Responsibility strategy, raising £207,658 in one month
  • 30 Jan 2020

Charity and community have always been key pillars of G-Research. We’re proud to provide opportunities for our team to volunteer at a wide range of organisations, from STEMettes to Action Tutoring, and we have long supported our staff’s fundraising endeavours by doubling any donations they receive. We are an organisation, however, that never rests on […]

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NeurIPS 2019 Paper Review
  • 21 Jan 2020

Andrew S – Quantitative Researcher Random deep neural networks are biased towards simple functions Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd Deep neural networks often have more parameters than datapoints in their training set, so one might naively expect them to be very overfit, and have poor generalisation properties.  They are fully capable of learning randomly-labelled […]

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OpenTSDB Meta Cache – trade-offs for performance
  • 16 Jan 2020

Data is at the core of everything we do at G-Research, and metrics are no different. We’ve been running a reasonably sized OpenTSDB installation for 4 years now, and are putting metrics from applications, systems and processes in it at a fair rate (currently about 11 billion points a day). We’ve scaled our cluster over […]

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