We're excited to launch our Financial Forecasting Challenge. Take part in our Data Science challenge by accurately forecasting financial returns in our data set - for a chance to win $30,000: http://glassdoor.com/slink.htm?key=vQgII #datascience #machinelearning #artificialintelligence #ai
Can we trust AI if we don't know how it works?
David Stern, one of our Quantitative Research Managers was recently featured in an article by the BBC: http://glassdoor.com/slink.htm?key=vQpvn
G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.
Our Culture
Join us and you'll explore complex challenges with some of the world's smartest people in an open and informal environment. We are all working towards achieving our long-term goal: human ingenuity limited only by the speed of thought.
There is also a lively social side to G-Research with many team events and company-wide celebrations.
G-Research consists of four main divisions:
We use the latest scientific techniques and advanced data analysis methods to discover the undiscovered. Our researchers are free to explore ideas, finding patterns in large, noisy and real-world data sets to predict the movements in global financial markets.
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.
We are developing the next generation of infrastructure that can effortlessly scale and flex. This capability allows us to adapt to the demanding needs of the business to process and analyse large and varied data sets at speed.
Keeping our ideas safe and secure is crucial to our success. That's why we use pioneering techniques that predict and protect us from attacks. Together, we're building the next generation of security approaches and thinking.
Want to be part of a leading quantitative research and technology company? Bring your skills and experience to G-Research by applying for one of our many roles.
Leon - Quantitative Researcher
"Having started my university education in Engineering at MIT, finance didn’t initially seem like an option. But, after a discussion with my peers, I steered my PhD research towards more applied maths topics – positioning myself for a finance role.
There was a lot I didn’t know about the G-Research, so I gained insights from those who interviewed me. They all came across as intelligent, curious, and interested in exploring problems from different angles. I figured if people like this enjoy their jobs then I most certainly will.
And over two years in, there’s nowhere I’d rather be. The atmosphere is very relaxed and, as a quantitative researcher, we can pretty much spend all our time doing what we like the most: finding solutions to interesting and challenging problems. There are no office politics and the performance metrics couldn’t be clearer cut, which is a big motivational factor."
Samantha - Software Engineer
"I completed a BSc in Natural Sciences and then went on to do a major in Computer Science at the University of Birmingham. After university, I worked for a large bank but quickly realised I was looking for a more exciting challenge. After speaking to a friend who worked at G-Research, I knew it would be the place for me.
My favourite part of working for G-Research is the great working relationship we have with the people we write software for: it feels like we’re working with them, not for them. I also really enjoy the structure of my working day and the proportion of my time spent writing and designing my own code."
Roshni - IT Service Desk Team Lead
"After completing a BSc (Hons) Degree in Network Management and Security at the University of Middlesex, I was fortunate to be put forward for the IT Service Desk position at G Research. My previous role was working within an IT Service Desk, however since joining G-Research I have discovered that this is not a traditional service desk. We are supporting and working with cutting-edge technology in a fast paced environment, making the role both challenging and exciting all the time."
Simon - Cyber Investigation and Response Analyst
"I was looking to move into a pure Information Security role after being a Systems Engineer at a company that made HSMs. G-Research looked like an attractive place to work because they put themselves forward as needing security to protect their core assets – as opposed to security to maintain some arbitrary compliance checklist.
After a few interviews, I was convinced that G-Research was the place I wanted to be. I knew that working alongside the people who conducted the interviews would help me grow professionally. The best part of working at G-Research is the calibre of people that work here. I have learned so much since starting here and have been supported every step of the way, enabling me to pass my CISSP, Certified Incident Handler (GCIH) and Network Forensic Analyst (GNFA) exams."
We offer an exceptional employee package which includes:
Basic:
Extra:
Helpful (4)
I have been working at G-Research full-time (Less than a year)
Pros
- Incredible compensation.
- Everyone here are really smart.
- People get their responsibilities right. You literally never have to spend time fixing other people's stuff. You will almost never feel like you could do it better, no matter how smart you are. I've never seen any other workplace in the IT industry where this was true, and I've had a few jobs before this.
- Very relaxed work environment. The work hours are great. No unneccesary pressure for management / clients.
- Well equiped office, free soft driks and fruits.
- Friendly, soical, trusting company culture, lots of great events.
- Great tech solutions for most of the problems. Quite nice attitude about the stuff that could be better, and very hard drive to improve them.
- Literally everything about the company makes you feel highly valued, and that you are important here.
- A lot of opportunities to learn from others. No matter how smart you are or what your background is, you will feel intellectually stimulated.
- Very fast release cycles compared to industry average.
- Great management. They really know what they are doing, make great decisions on average, have an really nice attitude about the leadership, they are great at involving the team and handling responsibilities well.
Cons
- Strong focus on security could be a problem for some (I don't mind)
- Work from home is not permitted (I don't mind)
- Seeing how smart your collagues are, and how much they know that you don't could be a hit to your self-esteem.
Application
I applied online. The process took 6 weeks. I interviewed at G-Research (London, England) in November 2018.
Interview
There was an online test on Linux and Networking after the application has been made, and then an invitation to an assessment centre. There were different tasks at the assessment centre involving roleplaying as a placement student and working with other applicants. The train journey and accommodation for the journey were paid for via reimbursement, however it took them about a month and a half at least to get round to doing it.
Interview Questions
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