“My main focus is maintaining and developing our HR Technology landscape, which not only supports HR with their processes but also drives a lot of our downstream processes and permissions. This requires a lot of collaboration with many teams across the whole of the business and I’m always surprised at how willing everyone is to help out; there’s a culture here where everyone tries to set each other up for success.
“Another element of working at G-Research I enjoy is how dynamic the work environment is. It keeps you busy and continuously creates opportunities to develop yourself and your career, too.”
"While some people might think working in finance may not be too exciting, at G-Research, it is, especially if you see it as a problem to solve. How do we solve this algorithm? How do we get faster? This is why I think people are really excited to work at G-Research."
"I've felt very lucky to work with teams of people across the business who are generous with their time, knowledge and ideas as we collaborate to continuously build and rebuild complex systems with lots of moving parts."
"What I appreciate most about working in G-Research is the supportive and knowledgeable environment. Everyone is incredibly helpful and patient, which ensures there’s a good balance between being challenged and your workload."
"My intern experience was really good. You get the opportunity to impact a business, which is important if you’re preparing to enter the workplace. You get to do something useful and see how it gets used; I worked on a project that is still being used now."
"What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with Engineers and other Quantitative Researchers."
In this NeurIPS paper review series, Dustin, Scientific Director, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.
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In this NeurIPS paper review series, Angus, Machine Learning Engineer, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.
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In this NeurIPS paper review series, Mark, Senior Quantitative Researcher, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.
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