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add g-research's jobs (#1444)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Nikoś <[email protected]>
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src/content/sponsors/g-research/index.md

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name: "G-Research"
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url: "https://www.gresearch.com/"
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description:
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"We are a leading quantitative research and technology firm. We hire the
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brightest minds to tackle the biggest questions in finance. We pair our
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people’s expertise with machine learning, big data, and emerging tech to
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predict movements in financial markets."
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"G-Research is a leading quantitative finance research firm, applying
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scientific rigour to solve complex challenges in financial markets. From our
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offices in London and Dallas, we bring together world-class researchers and
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engineers in a culture that values deep exploration, methodical execution, and
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long-term thinking. Grounded in honesty, curiosity, and care for our people,
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we focus on developing smart, enduring strategies that deliver lasting impact."
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socials:
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linkedin: "https://www.linkedin.com/company/g-research/"
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twitter:
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twitter: "https://x.com/gresearchjobs"
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github:
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discord:
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mastodon:
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bluesky:
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youtube: "https://www.youtube.com/@GResearchquantfinance"
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instagram: "https://www.instagram.com/gresearchcareers/"
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tier: Gold
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logo_padding: 10px
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logo_padding: 15px
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---
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---
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title: "Machine Learning Engineer"
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location: London
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type:
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level:
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tags:
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salary:
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benefits:
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description: "We are looking for exceptional machine learning engineers to work
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alongside our quantitative researchers on cutting-edge machine learning
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problems. As a member of the Core Technical Machine Learning team, you will be
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engaged in a mixture of individual and collaborative work to tackle some of
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the toughest research questions.In this role, you will use a combination of
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off-the-shelf tools and custom solutions written from scratch to drive the
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latest advances in quantitative research.
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Past projects have included:
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- Implementing ideas from a recently published research paper
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- Writing custom libraries for efficiently training on petabytes of data
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- Reducing model training times by hand optimising machine learning operations
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- Profiling custom ML architectures to identify performance bottlenecks
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- Evaluating the latest hardware and software in the machine learning
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ecosystem"
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requirements:
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responsibilities:
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apply_link: "https://www.gresearch.com/vacancies/machine-learning-engineer/"
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---
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---
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title: "Machine Learning Workflow Engineer"
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location: London
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type:
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level:
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tags:
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salary:
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benefits:
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description: "We are looking for exceptional engineers to help us build out a
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mature ML research and deploy pipeline as part of our ML Workflows team. This
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is an exciting role. You will develop greenfield solutions to meet highly
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complex ML interdependency requirements. Where off-the-shelf tools fall short,
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you’ll build custom solutions to define best practice across quantitative
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research.
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Future projects include:
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- Implementing best practice feature and model stores
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- Properly versioning features, data and models
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- Improving inference compute utilisation via model serving
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- CI/CD for ML
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- Reliably fitting models with complex job dependency graphs
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- Robustness in production, including validation and monitoring"
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requirements:
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responsibilities:
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apply_link: "https://www.gresearch.com/vacancies/machine-learning-workflow-engineer/"
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---
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---
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title: "Quantitative Developer"
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location: London
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type:
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level:
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tags:
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salary:
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benefits:
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description: "Our Quantitative Developers are the enablers of our success. They
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work side-by-side with our researchers to realise their ideas in global
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financial markets. They work at the bleeding-edge with immense compute power
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at their fingertips to achieve our aim: predicting the future. The core tech
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stack is C# and Python, productionised in our own datacentres. Areas of focus
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for these teams include:
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Areas of focus for these teams include:
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- Trading systems – reliable and performant systems able to trade 24/6 for our
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customers, with real money at stake
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- Modelling – building core capabilities and assisting quant researchers in
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our cutting edge prediction capabilities
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- Simulation – back-testing frameworks for validating the strategies our
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researchers produce and for assessing their ongoing performance
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- Research tooling – front-end UX and workflow for our quant researchers
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- Performance and scalability – optimising our trading and research systems to
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unlock new capabilities"
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requirements:
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responsibilities:
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apply_link: "https://www.gresearch.com/vacancies/quantitative-developer/"
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---
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---
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title: "Software Engineer"
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location: London
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type:
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level:
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tags:
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salary:
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benefits:
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description: "Engineering underpins our continued growth and success, and we are
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committed to recruiting and developing the world’s best Engineers. Our teams
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develop and build tooling for a petabyte-scale compute farm; your code will
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exist at the cutting-edge underpinned by near infinite compute power. Most of
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our systems are written in C# or Python, but we also have specialist teams
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using C++, Java and F#. We utilise modern web, distributed and big data
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technologies, which means we have a broad range of software engineering
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challenges for the right person.
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Key responsibilities of the role include:
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- Contributing to the evolution and successful operation of a world-class
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trading system
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- Designing and building solutions that drive value for our petabyte-scale
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data platform
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- Continuously exploring and developing solutions to improve data and compute
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throughput at scale
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- Demonstrating software engineering best practices"
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requirements:
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responsibilities:
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apply_link: "https://www.gresearch.com/vacancies/software-engineer/"
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---

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