At a Glance
- Tasks: Join us as a Quantitative Developer, working on cutting-edge financial technology and software solutions.
- Company: G-Research is a top quantitative research firm in finance, based in London and Dallas.
- Benefits: Enjoy competitive pay, 35 days off, free lunch, and a relaxed dress code.
- Why this job: Be part of a dynamic team that values innovation and collaboration in finance and tech.
- Qualifications: We seek tech enthusiasts with software engineering skills and an interest in quantitative finance.
- Other info: Our new Soho Place office offers a vibrant workspace for creativity and growth.
The predicted salary is between 43200 - 72000 Β£ 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 β 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 worldβs best Engineers.
Our Quantitative Developers are the enablers of our success. They work side-by-side with our researchers to realise their ideas in global financial markets. They work at the bleeding-edge with immense compute power at their fingertips to achieve our aim: predicting the future.
The core tech stack is C# and Python, productionised in our own datacentres.
Areas of focus for these teams include:
- Trading systems β reliable and performant systems able to trade 24/6 for our customers, with real money at stake
- Modelling β building core capabilities and assisting quant researchers in our cutting edge prediction capabilities
- Simulation β back-testing frameworks for validating the strategies our researchers produce and for assessing their ongoing performance
- Research tooling β front-end UX and workflow for our quant researchers
- Performance and scalability β optimising our trading and research systems to unlock new capabilities
To give a flavour of the work we do, here are some of our 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
Who are we looking for?
The ideal candidate will have the following skills and experience:
- A genuine interest in technology
- Proven ability to engineer high-quality software
- Appreciation of architecture and engineering best practices
- Experience of end-to-end ownership of solutions, from articulation through to delivery
- Good understanding of fundamental algorithms and data structures
- An interest in quantitative finance and an understanding of the role engineering plays within the space
- The ability to prioritise, plan and deliver to demonstrably drive business results
- The ability to proactively identify where we can improve and implement long term, scalable solutions to drive business outcomes.
- A proactive approach to learning, staying ahead of the technology curve and identifying how we can adopt new technologies in the ways we work
- Balanced judgement, with the ability to evaluate different approaches and identify solutions for the benefit of the overall business
- Adaptable communication styles and approaches tailored to their audience in order to convey compelling messages
- The ability to understand the needs and challenges of others and present mutually beneficial solutions
- A collaborative approach with the ability to build effective 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 daysβ annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- 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.
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Quantitative Developer employer: Barlowe LLP
Contact Detail:
Barlowe LLP Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Quantitative Developer
β¨Tip Number 1
Familiarise yourself with the core tech stack mentioned in the job description, particularly C# and Python. Consider working on personal projects or contributing to open-source projects that utilise these languages to demonstrate your skills.
β¨Tip Number 2
Engage with the quantitative finance community online. Follow relevant forums, blogs, and social media accounts to stay updated on industry trends and challenges. This will not only enhance your knowledge but also help you network with professionals in the field.
β¨Tip Number 3
Prepare to discuss your understanding of algorithms and data structures during interviews. Brush up on fundamental concepts and be ready to explain how they apply to real-world problems in finance and technology.
β¨Tip Number 4
Showcase your collaborative skills by participating in team-based coding challenges or hackathons. This experience can highlight your ability to work effectively with others, which is crucial for the role at G-Research.
We think you need these skills to ace Quantitative Developer
Some tips for your application π«‘
Understand the Role: Before applying, make sure to thoroughly read the job description for the Quantitative Developer position. Understand the key responsibilities and required skills, such as proficiency in C# and Python, and how they relate to quantitative finance.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your software engineering capabilities, understanding of algorithms, and any experience in quantitative finance or related fields.
Craft a Compelling Cover Letter: Write a cover letter that showcases your genuine interest in technology and quantitative finance. Discuss specific projects or experiences that demonstrate your ability to engineer high-quality software and your proactive approach to learning new technologies.
Showcase Problem-Solving Skills: In your application, provide examples of how you've identified problems and implemented scalable solutions in previous roles. Highlight your ability to work collaboratively and communicate effectively with diverse teams.
How to prepare for a job interview at Barlowe LLP
β¨Show Your Passion for Technology
Make sure to express your genuine interest in technology during the interview. Discuss any personal projects or experiences that showcase your enthusiasm and how you stay updated with the latest trends in software engineering.
β¨Demonstrate Your Problem-Solving Skills
Be prepared to discuss specific examples where you've tackled complex problems, particularly in software development. Highlight your understanding of algorithms and data structures, and how you've applied them in real-world scenarios.
β¨Understand the Role of Engineering in Finance
Familiarise yourself with how engineering contributes to quantitative finance. Be ready to discuss how your skills can help improve trading systems, modelling, and simulation processes, and how you can contribute to the company's goals.
β¨Communicate Effectively
Adapt your communication style to suit your audience. Practice explaining technical concepts in a way that is accessible to non-technical stakeholders, as this will demonstrate your ability to build effective relationships across the business.