Quantitative Developer

G-Research; Greater London; In loco; GBP 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Annual discretionary bonus

Lunch provided

35 days annual leave

9% pension contributions

Casual dress code

Health and life cover

Descrizione del lavoro

G-Research is hiring a Quantitative Developer to join our London-based engineering team. You will shape platforms and tools that empower researchers, building scalable systems in C# and Python within our own data centres.

The role emphasizes end-to-end ownership and rigorous software engineering. You will work alongside researchers on trading, modelling, simulation, and tooling, delivering high-quality, maintainable code and contributing to performance optimisations and large-scale distributed

Competenze

• 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.

Mansioni

• Design and build scalable trading and research platforms.
• Collaborate with researchers to turn ideas into production systems.
• Improve performance and reliability of core tech stacks (C# and Python).
• Champion engineering best practices and scalable improvements.

Conoscenze

Software engineering

Architectural awareness

End-to-end ownership

Algorithms and data structures

Communication

Strumenti

C#

Python

Descrizione del lavoro

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'll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.

Take the next step in your career.

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:

• 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