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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“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 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.
“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.”
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.
Read article