At a Glance
- Tasks: Design and build cutting-edge data platforms for high-impact research in finance.
- Company: Join G-Research, a leader in quantitative finance with a collaborative culture.
- Benefits: Competitive pay, 35 days leave, healthcare, and monthly events.
- Other info: Inclusive environment with excellent work/life balance and career growth.
- Why this job: Shape innovative systems that drive discovery and impact in finance.
- Qualifications: Proficiency in Java, C#, or C++, with a passion for optimising software.
The predicted salary is between 56700 - 69300 £ per year.
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.
As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.
The Data Serving Platform team sits at the centre of G-Research's core datasets, owning a suite of data-serving components responsible for massively parallelised access to data across our compute environment. The team provides both live and historical views of data, supporting critical workflows across the firm. The vision is to create a simple, robust and user-friendly system that connects data providers and consumers, enabling them to seamlessly share data and analytics.
Key responsibilities of the role include:
- Designing, building and evolving production-grade trading platforms and services end-to-end
- Optimising software performance, throughput and efficiency at scale
- Contributing to the reliability and operational excellence of critical systems
- Applying strong software engineering practices across testing, code quality, automation and observability
- Participating in a shared production support rotation, responding to incidents, troubleshooting runtime issues and driving improvements
Who are we looking for?
The ideal candidate will have the following skills and experience:
- Strong competency with at least one typed language such as Java, C# or C++
- Experience optimising software performance or efficiency
- Desirable:
- Experience with distributed software systems
- Experience with data processing or data serving systems
- Experience using Rust, C#, Python, Parquet, Arrow, Delta Lake or Kubernetes
Why join us?
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 35 days annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- Cycle-to-work scheme
- Monthly company events
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
Location: London, UK
Type: Full time
Data Software Engineer employer: G Research
G-Research is an exceptional employer, offering a dynamic work culture in the heart of Westminster, UK, where innovation and security are at the forefront of our mission. Employees benefit from competitive compensation, extensive training opportunities, and a generous 30 days of annual leave, all within a supportive environment that fosters professional growth and collaboration. Join us to tackle exciting security challenges while enjoying comprehensive healthcare benefits and a commitment to your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Software Engineer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Software Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at G Research. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at G Research
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
