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14 changes: 8 additions & 6 deletions src/content/sponsors/g-research/index.md
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name: "G-Research"
url: "https://www.gresearch.com/"
description:
"We are a leading quantitative research and technology firm. We hire the
brightest minds to tackle the biggest questions in finance. We pair our
people’s expertise with machine learning, big data, and emerging tech to
predict movements in financial markets."
"G-Research is a leading quantitative finance research firm, applying
scientific rigour to solve complex challenges in financial markets. From our
offices in London and Dallas, we bring together world-class researchers and
engineers in a culture that values deep exploration, methodical execution, and
long-term thinking. Grounded in honesty, curiosity, and care for our people,
we focus on developing smart, enduring strategies that deliver lasting impact."
socials:
linkedin: "https://www.linkedin.com/company/g-research/"
twitter:
twitter: "https://x.com/gresearchjobs"
github:
discord:
mastodon:
bluesky:
youtube: "https://www.youtube.com/@GResearchquantfinance"
instagram: "https://www.instagram.com/gresearchcareers/"
tier: Gold
logo_padding: 10px
logo_padding: 15px
---
35 changes: 35 additions & 0 deletions src/content/sponsors/g-research/machine-learning-engineer.md
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---
title: "Machine Learning Engineer"
location: London
type:
level:
tags:
salary:
benefits:
description: "We are looking for exceptional machine learning engineers to work
alongside our quantitative researchers on cutting-edge machine learning
problems. As a member of the Core Technical Machine Learning team, you will be
engaged in a mixture of individual and collaborative work to tackle some of
the toughest research questions.In this role, you will use a combination of
off-the-shelf tools and custom solutions written from scratch to drive the
latest advances in quantitative research.


Past projects have included:

- Implementing ideas from a recently published research paper

- Writing custom libraries for efficiently training on petabytes of data

- Reducing model training times by hand optimising machine learning operations

- Profiling custom ML architectures to identify performance bottlenecks

- Evaluating the latest hardware and software in the machine learning
ecosystem"

requirements:
responsibilities:

apply_link: "https://www.gresearch.com/vacancies/machine-learning-engineer/"
---
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---
title: "Machine Learning Workflow Engineer"
location: London
type:
level:
tags:
salary:
benefits:
description: "We are looking for exceptional engineers to help us build out a
mature ML research and deploy pipeline as part of our ML Workflows team. This
is an exciting role. You will develop greenfield solutions to meet highly
complex ML interdependency requirements. Where off-the-shelf tools fall short,
you’ll build custom solutions to define best practice across quantitative
research.


Future projects include:


- Implementing best practice feature and model stores

- Properly versioning features, data and models

- Improving inference compute utilisation via model serving

- CI/CD for ML

- Reliably fitting models with complex job dependency graphs

- Robustness in production, including validation and monitoring"

requirements:
responsibilities:

apply_link: "https://www.gresearch.com/vacancies/machine-learning-workflow-engineer/"
---
38 changes: 38 additions & 0 deletions src/content/sponsors/g-research/quantitative-developer.md
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---
title: "Quantitative Developer"
location: London
type:
level:
tags:
salary:
benefits:

description: "Our Quantitative Developers are the enablers of our success. They
work side-by-side with our researchers to realise their ideas in global
financial markets. They work at the bleeding-edge with immense compute power
at their fingertips to achieve our aim: predicting the future. The core tech
stack is C# and Python, productionised in our own datacentres. Areas of focus
for these teams include:


Areas of focus for these teams include:

- Trading systems – reliable and performant systems able to trade 24/6 for our
customers, with real money at stake

- Modelling – building core capabilities and assisting quant researchers in
our cutting edge prediction capabilities

- Simulation – back-testing frameworks for validating the strategies our
researchers produce and for assessing their ongoing performance

- Research tooling – front-end UX and workflow for our quant researchers

- Performance and scalability – optimising our trading and research systems to
unlock new capabilities"

requirements:
responsibilities:

apply_link: "https://www.gresearch.com/vacancies/quantitative-developer/"
---
36 changes: 36 additions & 0 deletions src/content/sponsors/g-research/software-engineer.md
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---
title: "Software Engineer"
location: London
type:
level:
tags:
salary:
benefits:
description: "Engineering underpins our continued growth and success, and we are
committed to recruiting and developing the world’s best Engineers. Our teams
develop and build tooling for a petabyte-scale compute farm; your code will
exist at the cutting-edge underpinned by near infinite compute power. Most of
our systems are written in C# or Python, but we also have specialist teams
using C++, Java and F#. We utilise modern web, distributed and big data
technologies, which means we have a broad range of software engineering
challenges for the right person.


Key responsibilities of the role include:

- Contributing to the evolution and successful operation of a world-class
trading system

- Designing and building solutions that drive value for our petabyte-scale
data platform

- Continuously exploring and developing solutions to improve data and compute
throughput at scale

- Demonstrating software engineering best practices"

requirements:
responsibilities:

apply_link: "https://www.gresearch.com/vacancies/software-engineer/"
---