Build a model to predict this season's NBA scores, and compete with others for a prize pot totalling £30,000! Learn more at: http://glassdoor.com/slink.htm?key=vM2sA
We’re thrilled to announce that we’ll be hosting the London Machine Learning NeurIPS Meetup 2019! Register to attend: 12th December 2019: http://glassdoor.com/slink.htm?key=vML8v 14th December 2019: http://glassdoor.com/slink.htm?key=vML8P
Create today. Predict tomorrow.
G-Research is a leading quantitative research and technology firm, based in London.
We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets.
We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment.
Visit the G-Research website to find out more and apply.
Our quantitative researchers use the latest scientific techniques and advanced data analysis methods to predict the movements in global financial markets. They have the freedom, support and resources to explore a wide range of ideas, finding patterns in large, noisy real-world data sets.
Mathematical Modelling
Our technology and resources are combined to build a single, powerful platform for researching algorithmic trading strategies. We use rigorous scientific methodology, robust statistical analysis, and pattern recognition to analyse an extensive and varied financial data ecosystem, extracting deep insights from truly massive datasets. Our platform provides the ability to test your mathematical models in action and get instant results using real world data.
Inspirational Mathematicians
We pride ourselves on our supportive, intellectual culture. Most of our Researchers have joined from PhDs or Postdocs from top-tier global institutions and we have among our ranks multiple IMO medallists and Fulbright Scholars.
Software Engineering is core to our business. By designing and implementing real-time systems, our engineers are solving some of the world’s most complex financial problems.
Cutting-Edge Technology
Our engineers are bright, creative, and happy to use their initiative when tackling technical challenges. Everyone is given the freedom to find new solutions, either by developing them in-house or using the latest approaches and systems. We have access to extensive resources to invest in top-end hardware and cutting-edge technology.
Inspirational, Collaborative Community
We have a collaborative community of specialist engineers from a wide range of backgrounds. Everyone here shares a passion for technology and works at the forefront of development, always improving our software, approach, and skill set.
Our engineers work in functional teams, creating the opportunity to see the software we have built in action and gain rapid feedback from users.
We offer an exceptional employee package which includes:
I have been working at G-Research full-time (More than a year)
Pros
Massively talented colleagues who are always happy to share their knowledge.
Really interesting technical platform which sees continuous investment to ensure it remains at the cutting edge.
Good work culture, company understands that looked after employees produce solid work. Lots has been done to make sure the normal social atmosphere remains during these WFH times.
Cons
While WFH is a thing and looks to be for the near future, seems like there may be some reluctance to continue it on into the future.
Application
I applied online. The process took 3 weeks. I interviewed at G-Research (Research) in November 2017.
Interview
Had a HackerRank, didn't think I'd done too well but managed to get an interview. Had 2 standard technical interviews, a tour while they decided on whether I should have 2 further interviews, then I had the 2 further interviews that were less technical but still about software and my technical interests and to get an idea about the kind of team I'd want to work with.
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