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Hear from Austin, Analytics Services Principal Engineer, about how we optimised Kafka producer performance to handle high-latency network links while maintaining high throughput.
Read article“My job is to find market patterns and use those to forecast future market movements. The core part of it is finding what we call signals, that build on some insight or model to predict the market.
“G-Research makes a lot of effort to have a very open culture and gives a lot of freedom to its individual researchers to pursue directions that they think are valuable, with each researcher very much driving their own research. I didn’t feel like I was losing a lot of freedom (compared to academia) in that aspect.
“We have tight integration with Engineering, and my team has embedded engineers working with us directly on the same projects. This is very helpful, because it means that you have people from slightly different backgrounds coming together, covering both the Software Engineering and the Quantitative Research side, to solve difficult problems.”
Hear from Austin, Analytics Services Principal Engineer, about how we optimised Kafka producer performance to handle high-latency network links while maintaining high throughput.
Read articleIn this NeurIPS paper review series, Julian, 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.
Read articleIn this NeurIPS paper review series, Andrew, Quant Research Manager, 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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