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- Tasks: Develop cutting-edge software solutions for a world-class trading system.
- Company: Join G-Research, a leading tech firm in finance with a dynamic culture.
- Benefits: Competitive salary, 35 days leave, healthcare, and free lunch.
- Why this job: Work with advanced tech and make an impact in finance.
- Qualifications: Experience in software engineering and a passion for technology.
- Other info: Flexible work environment with excellent career growth opportunities.
The predicted salary is between 30000 - 42000 £ per year.
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This role is based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.
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# or Python, but we also have specialist teams using 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?
- Intelligent, pragmatic and capable engineers with a genuine interest in technology
- Proven ability to engineer high-quality software
- Appreciation of good architecture and engineering best practices
- End-to-end ownership of solutions: from articulation through to delivery
- Good understanding of fundamental algorithms and data structures
- An interest in finance and trading, and the challenges in this space
- The ability to collaborate with and influence technical and non-technical colleagues from across the business
- Effective decision-making skills with a focus on the mid to long term
- Enjoy working as part of a software development team
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
- Monthly company events
Location: London, UK
Software Engineer in London employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at G-Research on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can double your chances of landing that interview.
✨Tip Number 2
Prepare for the technical interview by brushing up on your coding skills. Use platforms like LeetCode or HackerRank to practice problems in C# or Python. The more comfortable you are with algorithms and data structures, the better you'll perform!
✨Tip Number 3
Show your passion for finance and technology during interviews. Be ready to discuss how your skills can tackle real-world challenges in trading. This will demonstrate your genuine interest and fit for the role.
✨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 serious about joining the G-Research team.
We think you need these skills to ace Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software Engineer role. Highlight your experience with C#, Python, or any other relevant technologies mentioned in the job description. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your genuine interest in technology and finance. Share specific examples of your past projects that demonstrate your engineering prowess and problem-solving skills.
Showcase Your Passion for Engineering: We love engineers who are passionate about their craft! In your application, mention any personal projects, contributions to open-source, or relevant coursework that showcases your commitment to software engineering best practices.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at G-Research!
How to prepare for a job interview at G-Research
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially C#, Python, and any other languages like C++ or Java. Brush up on your coding skills and be ready to discuss your experience with these languages during the interview.
✨Understand the Business
G-Research is all about finance and trading, so having a solid understanding of these areas will set you apart. Familiarise yourself with basic financial concepts and how technology plays a role in trading systems. This will show your genuine interest in the field.
✨Showcase Problem-Solving Skills
Be prepared to tackle technical challenges during the interview. Practice coding problems that focus on algorithms and data structures, as these are crucial for the role. Think aloud while solving problems to demonstrate your thought process.
✨Emphasise Collaboration
Since the role involves working with both technical and non-technical colleagues, highlight your teamwork experiences. Share examples of how you’ve successfully collaborated on projects and influenced decisions, showcasing your communication skills.
