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For Companies At a Glance
- Tasks: Join our engineering team to design and build cutting-edge platforms for high-performance solutions.
- Company: G-Research is a leading quantitative research and technology firm, driving innovation in finance.
- Benefits: Enjoy a collaborative culture, training opportunities, and the chance to work with advanced technologies.
- Why this job: Be part of a friendly environment where your curiosity is nurtured and learning is supported.
- Qualifications: Ideal for those studying or passionate about engineering, computer science, or related fields.
- Other info: Work on novel problems and gain hands-on experience with AI and machine learning projects.
The predicted salary is between 36000 - 60000 £ per year.
Our engineers design and build advanced platforms and infrastructure that power high-performance solutions, turning complex challenges into real-world results.
Our quantitative engineers, also known as research engineers, are the driving force behind our success. Working side-by-side with researchers at the cutting edge, they leverage near-infinite compute power to help us pursue our ultimate goal: predicting the future.
From machine learning and data engineering to high-performance computing and low-latency systems, our specialist teams build the foundations that turn ambitious ideas into reality.
Our infrastructure is built to handle and process extraordinary volumes of data every day – reliably, efficiently and at scale.
Driven by a mindset of automation and innovation, we explore everything from cloud technologies and scalable flash storage to grid computing and infrastructure as code. Whatever accelerates our teams’ most powerful ideas, infrastructure engineering makes possible.
Where compute meets scale
Over 13,000 dedicated GPUs
450,000+ CPU cores and 2,000 inference accelerators
We run over 50 million HPC and data science jobs daily
More than 30 megawatts of data centre capacity
Kafka clusters in production handle 90 billion events and messages per day
15 terabytes per second of storage throughput serving up 240+ petabytes of data
Systems we\’ve developed are used to collect and ingest 80 terabytes of log data per day
What our people say
slide 25 to 27 of 13
Yoga Software Engineering Manager
\”The friendly, collaborative atmosphere here is a breath of fresh air and a perfect fit for me.\”
\”The willingness to collaborate between both teams and functions has made the transition into my new role as easy as possible.\”
\”It’s a privilege to be in a place where my curiosity is nurtured and my learning journey is supported!\”
\”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 here.\”
\”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.\”
\”Work culture is an important aspect for me, so when I was contacted by G-Research I discovered a company where I could grow as a developer, whilst feeling like the company valued me as a person, not just a code monkey.\”
\”My favourite part of working for G-Research is that technology is at the heart of everything we do at the company, driving the business forward and enabling us to stay ahead of the competition.\”
\”Before G-Research I’d completed internships at a few companies whilst studying Computer Science at the University of York. Since joining, I’ve progressed from an intern to a graduate to an engineer, having worked on systems and technology core to the business my entire time.\”
\”My favourite part of working at G-Research is the people, from my colleagues to our customers. The culture is great and encourages collaboration, which makes it easier for everyone to work together.\”
\”My favourite thing about working here is the people. G-Research strives to hire not only the brightest minds, but good people, which in turn creates a brilliant collegiate and social atmosphere at the company.\”
\”My team and I have access to a wide range of training opportunities, which allowed us to get the entire team AWS certified within a quarter. We’re actively working on the latest AI and machine learning projects to stay ahead of industry standards.\”
\”The problems we solve are often novel in nature, meaning we get to solve the previously unsolved. I find this to be a great way to stay challenged and engaged!\”
\”The friendly, collaborative atmosphere here is a breath of fresh air and a perfect fit for me.\”
\”The willingness to collaborate between both teams and functions has made the transition into my new role as easy as possible.\”
\”It’s a privilege to be in a place where my curiosity is nurtured and my learning journey is supported!\”
\”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 here.\”
\”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.\”
\”Work culture is an important aspect for me, so when I was contacted by G-Research I discovered a company where I could grow as a developer, whilst feeling like the company valued me as a person, not just a code monkey.\”
\”My favourite part of working for G-Research is that technology is at the heart of everything we do at the company, driving the business forward and enabling us to stay ahead of the competition.\”
\”Before G-Research I’d completed internships at a few companies whilst studying Computer Science at the University of York. Since joining, I’ve progressed from an intern to a graduate to an engineer, having worked on systems and technology core to the business my entire time.\”
\”My favourite part of working at G-Research is the people, from my colleagues to our customers. The culture is great and encourages collaboration, which makes it easier for everyone to work together.\”
\”My favourite thing about working here is the people. G-Research strives to hire not only the brightest minds, but good people, which in turn creates a brilliant collegiate and social atmosphere at the company.\”
\”My team and I have access to a wide range of training opportunities, which allowed us to get the entire team AWS certified within a quarter. We’re actively working on the latest AI and machine learning projects to stay ahead of industry standards.\”
\”The problems we solve are often novel in nature, meaning we get to solve the previously unsolved. I find this to be a great way to stay challenged and engaged!\”
\”The friendly, collaborative atmosphere here is a breath of fresh air and a perfect fit for me.\”
\”The willingness to collaborate between both teams and functions has made the transition into my new role as easy as possible.\”
\”It’s a privilege to be in a place where my curiosity is nurtured and my learning journey is supported!\”
\”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 here.\”
\”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.\”
\”Work culture is an important aspect for me, so when I was contacted by G-Research I discovered a company where I could grow as a developer, whilst feeling like the company valued me as a person, not just a code monkey.\”
\”My favourite part of working for G-Research is that technology is at the heart of everything we do at the company, driving the business forward and enabling us to stay ahead of the competition.\”
\”Before G-Research I’d completed internships at a few companies whilst studying Computer Science at the University of York. Since joining, I’ve progressed from an intern to a graduate to an engineer, having worked on systems and technology core to the business my entire time.\”
\”My favourite part of working at G-Research is the people, from my colleagues to our customers. The culture is great and encourages collaboration, which makes it easier for everyone to work together.\”
\”My favourite thing about working here is the people. G-Research strives to hire not only the brightest minds, but good people, which in turn creates a brilliant collegiate and social atmosphere at the company.\”
\”My team and I have access to a wide range of training opportunities, which allowed us to get the entire team AWS certified within a quarter. We’re actively working on the latest AI and machine learning projects to stay ahead of industry standards.\”
\”The problems we solve are often novel in nature, meaning we get to solve the previously unsolved. I find this to be a great way to stay challenged and engaged!\”
\”The friendly, collaborative atmosphere here is a breath of fresh air and a perfect fit for me.\”
\”The willingness to collaborate between both teams and functions has made the transition into my new role as easy as possible.\”
\”It’s a privilege to be in a place where my curiosity is nurtured and my learning journey is supported!\”
\”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 here.\”
\”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.\”
\”Work culture is an important aspect for me, so when I was contacted by G-Research I discovered a company where I could grow as a developer, whilst feeling like the company valued me as a person, not just a code monkey.\”
\”My favourite part of working for G-Research is that technology is at the heart of everything we do at the company, driving the business forward and enabling us to stay ahead of the competition.\”
\”Before G-Research I’d completed internships at a few companies whilst studying Computer Science at the University of York. Since joining, I’ve progressed from an intern to a graduate to an engineer, having worked on systems and technology core to the business my entire time.\”
\”My favourite part of working at G-Research is the people, from my colleagues to our customers. The culture is great and encourages collaboration, which makes it easier for everyone to work together.\”
\”My favourite thing about working here is the people. G-Research strives to hire not only the brightest minds, but good people, which in turn creates a brilliant collegiate and social atmosphere at the company.\”
\”My team and I have access to a wide range of training opportunities, which allowed us to get the entire team AWS certified within a quarter. We’re actively working on the latest AI and machine learning projects to stay ahead of industry standards.\”
\”The problems we solve are often novel in nature, meaning we get to solve the previously unsolved. I find this to be a great way to stay challenged and engaged!\”
\”The friendly, collaborative atmosphere here is a breath of fresh air and a perfect fit for me.\”
\”The willingness to collaborate between both teams and functions has made the transition into my new role as easy as possible.\”
\”It’s a privilege to be in a place where my curiosity is nurtured and my learning journey is supported!\”
\”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 here.\”
\”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.\”
\”Work culture is an important aspect for me, so when I was contacted by G-Research I discovered a company where I could grow as a developer, whilst feeling like the company valued me as a person, not just a code monkey.\”
\”My favourite part of working for G-Research is that technology is at the heart of everything we do at the company, driving the business forward and enabling us to stay ahead of the competition.\”
\”Before G-Research I’d completed internships at a few companies whilst studying Computer Science at the University of York. Since joining, I’ve progressed from an intern to a graduate to an engineer, having worked on systems and technology core to the business my entire time.\”
slide 9 to 11 of 5
Stage two: Behavioural interview
We will set aside technical skills and focus on getting to know you.
Stage three: Further technical interviews
Here, we will take a deeper dive into your technical skills and competencies.
Stage four: Management interviews
The final stage of our interview process is where you will meet members of your team, your future manager and functional leadership.
Online application
Our assessment process kicks off with our Talent Acquisition team, who will review your application and assess your fit for the role.
Stage one: Technical interview
You will meet with a team member – or take a remote test – where your technical abilities will be put to the test.
Stage two: Behavioural interview
We will set aside technical skills and focus on getting to know you.
Stage three: Further technical interviews
Here, we will take a deeper dive into your technical skills and competencies.
Stage four: Management interviews
The final stage of our interview process is where you will meet members of your team, your future manager and functional leadership.
Online application
Our assessment process kicks off with our Talent Acquisition team, who will review your application and assess your fit for the role.
Stage one: Technical interview
You will meet with a team member – or take a remote test – where your technical abilities will be put to the test.
Stage two: Behavioural interview
We will set aside technical skills and focus on getting to know you.
Stage three: Further technical interviews
Here, we will take a deeper dive into your technical skills and competencies.
Stage four: Management interviews
The final stage of our interview process is where you will meet members of your team, your future manager and functional leadership.
Online application
Our assessment process kicks off with our Talent Acquisition team, who will review your application and assess your fit for the role.
Stage one: Technical interview
You will meet with a team member – or take a remote test – where your technical abilities will be put to the test.
Stage two: Behavioural interview
We will set aside technical skills and focus on getting to know you.
Stage three: Further technical interviews
Here, we will take a deeper dive into your technical skills and competencies.
Stage four: Management interviews
The final stage of our interview process is where you will meet members of your team, your future manager and functional leadership.
Online application
Our assessment process kicks off with our Talent Acquisition team, who will review your application and assess your fit for the role.
Stage one: Technical interview
You will meet with a team member – or take a remote test – where your technical abilities will be put to the test.
Stage two: Behavioural interview
We will set aside technical skills and focus on getting to know you.
Our opportunities
Looking to make an impact at one of the world’s leading quantitative research and technology firms? See our open roles and apply now.
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Quantitative research & machine learning
We find patterns in noisy, real-world datasets to predict movement in financial markets.
We identify, test and on-board the latest tech, enabling our researchers and engineers to keep innovating.
We partner with and invest in the open-source community.
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Engineering employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and data engineering. Being able to discuss recent advancements or tools during your interview can show your passion and commitment to the field.
✨Tip Number 2
Network with current employees or alumni from your university who work at StudySmarter. They can provide valuable insights into the company culture and what specific skills are highly valued in the engineering team.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design problems. Focus on high-performance computing and low-latency systems, as these are crucial areas for the role.
✨Tip Number 4
Demonstrate your problem-solving skills by preparing examples of past projects where you tackled complex challenges. Be ready to explain your thought process and the impact of your solutions.
We think you need these skills to ace Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the engineering role. Focus on your technical abilities, projects you've worked on, and any specific technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for engineering and your understanding of the company's mission. Mention specific projects or technologies you are excited about and how you can contribute to their goals.
Showcase Problem-Solving Skills: In your application, provide examples of how you've tackled complex challenges in previous roles or projects. Highlight your analytical thinking and ability to innovate, as these are key traits for an engineering position.
Highlight Collaboration Experience: Since the role involves working closely with researchers and other teams, emphasise your teamwork and collaboration skills. Share instances where you've successfully worked in a team to achieve a common goal.
How to prepare for a job interview at G-Research
✨Showcase Your Technical Skills
Be prepared to discuss your technical expertise in areas like machine learning, data engineering, and high-performance computing. Bring examples of past projects or challenges you've tackled that demonstrate your problem-solving abilities.
✨Emphasise Collaboration
Since the company values a collaborative atmosphere, highlight your experiences working in teams. Share specific instances where you successfully collaborated with others to achieve a common goal, especially in complex projects.
✨Demonstrate Curiosity and Innovation
Express your passion for technology and innovation. Discuss how you stay updated with the latest trends in engineering and how you've applied new technologies or methodologies in your work.
✨Prepare for Behavioural Questions
Expect behavioural interview questions that assess your fit within the company culture. Reflect on your past experiences and be ready to share how you've handled challenges, learned from failures, and contributed to a positive work environment.
