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 innovation.
- Benefits: Competitive pay, 35 days leave, healthcare, and a fun work environment.
- Other info: Inclusive culture with opportunities for personal and professional growth.
- Why this job: Shape the future of finance with impactful projects and a collaborative team.
- 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 in London 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, including 35 days of annual leave, a generous pension scheme, and opportunities for professional development. Join us to collaborate with top-tier talent in quantitative finance and technology, where your innovative ideas will be nurtured and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer in London
✨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 applications alone can't.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s recent projects and technologies. 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 abilities 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 in London
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 software engineering expertise, especially in algorithms and data structures, and don’t forget to mention any relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative finance and how your engineering skills can contribute to our mission. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. Whether it's optimising a system or developing a new tool, we want to see your thought process and how you approach challenges. This is key for us at StudySmarter!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get to explore more about our culture and values while you’re at it!
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 ready to discuss how you've applied them in past projects, especially in relation to performance optimisation and system design.
✨Show Your Passion for Quantitative Finance
Demonstrate your interest in quantitative finance during the interview. Share any relevant experiences or projects that highlight your understanding of how engineering plays a role in financial systems.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and architectural awareness. Practice coding challenges and be prepared to explain your thought process clearly.
✨Emphasise Collaboration Skills
Highlight your ability to work effectively in teams. Discuss examples where you've collaborated with others to achieve a common goal, as this is crucial in a dynamic environment like theirs.
