Quantitative Developer in London

Quantitative Developer in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop cutting-edge software to tackle big finance questions with immense compute power.
  • Company: G-Research, a leading quantitative research and technology firm in London.
  • Benefits: Competitive pay, 35 days leave, healthcare, and monthly events.
  • Why this job: Join a dynamic team and make a real impact in global financial markets.
  • Qualifications: Interest in tech, software engineering skills, and understanding of algorithms.
  • Other info: Inclusive culture with excellent career growth and learning opportunities.

The predicted salary is between 36000 - 60000 £ 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 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 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 – 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

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 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.

Quantitative Developer in London employer: G-Research

G-Research is an exceptional employer, offering a dynamic and flexible work culture that fosters innovation and collaboration in the heart of Central London. With a commitment to employee growth, competitive compensation, and a range of benefits including 35 days' annual leave and comprehensive healthcare, we empower our Quantitative Developers to thrive while tackling complex challenges in finance using cutting-edge technology. Our inclusive environment values diverse perspectives, ensuring that every team member can contribute meaningfully to our success.
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Contact Detail:

G-Research Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Developer in London

✨Tip Number 1

Network like a pro! Reach out to current employees at G-Research on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!

✨Tip Number 2

Show off your skills! If you’ve got a GitHub or portfolio, make sure it’s up to date with your best projects. This is your chance to demonstrate your coding chops and problem-solving abilities.

✨Tip Number 3

Prepare for the interview by brushing up on your algorithms and data structures. G-Research loves tech-savvy candidates, so be ready to tackle some coding challenges during the process.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace Quantitative Developer in London

C#
Python
Software Engineering
Architecture Best Practices
End-to-End Solution Ownership
Algorithms
Data Structures
Quantitative Finance Understanding
Project Planning
Problem Identification and Solution Implementation
Proactive Learning
Adaptable Communication
Collaboration
Relationship Building

Some tips for your application 🫡

Show Your Passion for Tech: Let us see your genuine interest in technology shine through in your application. Share any projects or experiences that highlight your love for coding and problem-solving, especially in C# and Python!

Highlight Your Engineering Skills: We want to know about your ability to engineer high-quality software. Be sure to mention any relevant experience you have with architecture, algorithms, and data structures. This is your chance to show off your technical prowess!

Demonstrate Your Problem-Solving Mindset: Talk about how you've tackled challenges in the past and how you proactively identify areas for improvement. We’re looking for candidates who can implement long-term, scalable solutions that drive business outcomes.

Tailor Your Communication Style: Make sure your application reflects your ability to adapt your communication style to different audiences. We value collaboration and want to see how you can convey compelling messages to various stakeholders.

How to prepare for a job interview at G-Research

✨Know Your Tech Stack

Make sure you brush up on C# and Python, as these are key to the role. Be prepared to discuss your experience with these languages and how you've used them in past projects. It’s a great way to show you’re ready to hit the ground running!

✨Understand Quantitative Finance

Familiarise yourself with the basics of quantitative finance and how engineering plays a role in it. Being able to discuss recent trends or challenges in the field will demonstrate your genuine interest and help you connect with the interviewers.

✨Showcase Problem-Solving Skills

Prepare to talk about specific problems you've solved in previous roles, especially those related to performance optimisation or system architecture. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.

✨Ask Insightful Questions

Come prepared with questions that show your curiosity about the company and its projects. Inquire about their recent work in simulation or trading systems, and how they envision the future of their technology. This shows you're not just interested in the job, but also in contributing to their success.

Quantitative Developer in London
G-Research
Location: London

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