At a Glance
- Tasks: Develop high-quality software for cutting-edge quantitative finance research and trading systems.
- Company: Join G-Research, a leader in finance and technology with a collaborative culture.
- Benefits: Competitive pay, annual bonuses, 35 days leave, and comprehensive healthcare.
- Other info: Dynamic environment with a focus on diversity and career growth.
- Why this job: Shape the future of finance with innovative tech and impactful projects.
- Qualifications: Strong software engineering skills and interest in quantitative finance.
The predicted salary is between 60000 - 80000 £ per year.
We tackle the most complex problems in quantitative finance, 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.
Areas of Focus
- 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
Recent Projects
- Low‑level performance optimisations in our core simulation engine, unlocking the next advances in quant research
- Experimenting with alternative solvers in a core trade planning system
- Integrating our high‑ and low‑frequency systems for more optimal trading
- Re‑architecting systems to provide a seamless path from research to production for machine‑learning models
- Enabling large‑scale distributed training of machine‑learning models
- Contributing back to open‑source projects
Ideal Candidate
- Deliver high‑quality, well‑engineered software with strong architectural awareness
- Take end‑to‑end ownership of solutions, from concept to delivery
- Demonstrate solid knowledge of algorithms, data structures and software fundamentals
- Show interest in quantitative finance and the role of engineering within it
- Prioritise effectively to deliver measurable business impact
- Proactively identify and implement scalable improvements
- Stay ahead of emerging technologies and drive their adoption
- Apply sound judgment and balance competing approaches
- Communicate clearly and adapt style to different audiences
- Understand others’ needs to deliver mutually beneficial outcomes
- Collaborate effectively and build strong relationships across the business
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. At G‑Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world‑beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
Research Engineer employer: Barlowe LLP
At G-Research, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work environment in the heart of London. Our commitment to employee growth is reflected in our comprehensive benefits package, which includes competitive compensation, generous annual leave, and opportunities for professional development. Join us to collaborate with world-class researchers and engineers, where your innovative ideas will be nurtured and rewarded in a culture that values diversity and work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for the interview by diving deep into the company’s recent projects. Show us you’re not just interested in the role, but also in how you can contribute to our cutting-edge work.
✨Tip Number 3
Practice your problem-solving skills! We love candidates who can think on their feet. Try mock interviews or coding challenges to sharpen your skills before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Research Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Research Engineer role. Highlight your knowledge of algorithms, data structures, and any relevant projects you've worked on in quantitative finance.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about engineering in the finance sector. Share specific examples of how you've taken ownership of projects and delivered impactful solutions.
Showcase Your Problem-Solving Skills:In your application, demonstrate your ability to tackle complex problems. Discuss any experience you have with performance optimisation or building scalable systems, as these are key areas for us.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people and helps us keep track of all candidates efficiently. Plus, it’s super easy!
How to prepare for a job interview at Barlowe LLP
✨Know Your Algorithms
Brush up on your algorithms and data structures before the interview. Be prepared to discuss how they apply to real-world problems, especially in quantitative finance. This will show that you have a solid foundation and can think critically about complex issues.
✨Showcase Your Projects
Be ready to talk about your previous projects, particularly those involving performance optimisation or machine learning. Highlight your role in these projects and the impact they had. This demonstrates your hands-on experience and ability to deliver high-quality solutions.
✨Understand Their Needs
Research the company’s recent projects and areas of focus. Tailor your responses to show how your skills can contribute to their goals, like enhancing trading systems or improving research tooling. This shows that you’re not just interested in the job, but also in how you can add value.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. During the interview, adapt your communication style based on who you’re speaking with. This will help you connect with different team members and demonstrate your collaborative spirit.
