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- Tasks: Design and build innovative tools for a world-class trading system.
- Company: Leading firm in quantitative finance with a focus on engineering excellence.
- Benefits: Competitive salary, 35 days leave, healthcare, and monthly events.
- Why this job: Join a dynamic team and make a real impact in financial technology.
- Qualifications: Strong software engineering skills and interest in quantitative finance.
- Other info: Enjoy a flexible work environment with great career growth opportunities.
The predicted salary is between 36000 - 60000 £ 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 will shape the platforms and tools that drive high‐impact research – designing systems that scale, accelerate discovery and support innovation across the firm.
The role:
Engineering underpins our continued growth and success, and we are committed to recruiting and developing the world's best Engineers. Our teams develop and build tooling for a petabyte‐scale compute farm; your code will exist at the cutting‐edge, underpinned by near infinite compute power. Most of our systems are written in C#, Python, C++, Java and F#; we utilise modern web, distributed and big data technologies, which means we have a broad range of software engineering challenges for the right person.
Key responsibilities of the role include:
- Contributing to the evolution and successful operation of a world‐class trading system
- Designing and building solutions that drive value for our petabyte‐scale data platform
- Continuously exploring and developing solutions to improve data and compute throughput at scale
- Demonstrating software engineering best practices
At the first stage, successful applicants will be contacted by a member of our Talent Acquisition team to discuss the specific teams that best align with your skills and experience.
Who are we looking for?
The ideal candidate will:
- 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 judgement and balance competing approaches
- Communicate clearly and adapt their style to different audiences
- Understand others' needs to deliver mutually beneficial outcomes
- Collaborate effectively and build strong relationships across the business
Why should you apply?
- 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
Software Engineer – Engineering Tools in London employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer – Engineering Tools in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insights into the company culture and might even lead to a referral.
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills. Use platforms like LeetCode or HackerRank to practice problems relevant to the languages mentioned in the job description, like C# and Python.
✨Tip Number 3
Showcase your passion for quantitative finance! Be ready to discuss how your engineering skills can contribute to solving complex financial problems. This will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Software Engineer – Engineering Tools in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Software Engineer – Engineering Tools. Highlight your experience with C#, Python, or any relevant technologies mentioned in the job description.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about quantitative finance and how your engineering skills can contribute to our team. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on any projects that demonstrate your software engineering skills, make sure to include them. We love seeing real-world applications of your knowledge, especially if they relate to data platforms or high-impact research.
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 right teams that match your skills and interests.
How to prepare for a job interview at G-Research
✨Know Your Tech Stack
Make sure you’re familiar with the languages and technologies mentioned in the job description, like C#, Python, C++, Java, and F#. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects.
✨Understand Quantitative Finance
Since the role involves quantitative finance, take some time to understand the basics. Familiarise yourself with how engineering plays a role in financial systems. This will help you connect your technical skills to the business impact during the interview.
✨Showcase Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your ability to think critically and demonstrate your understanding of algorithms and data structures.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. The interviewers will appreciate your ability to adapt your communication style to different audiences, so be ready to showcase this skill during your discussions.
