Research Engineer

G-Research; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits

Highly competitive compensation

Lunch provided via Just Eat

35 days annual leave

9% company pension contributions

Comprehensive healthcare

Job summary

A financial technology firm in Greater London is seeking skilled Research Engineers to deliver high-quality software and collaborate closely with researchers on innovative projects. Candidates should have a solid foundation in algorithms and data structures and a keen interest in engineering's role in quantitative finance. Excellent benefits include competitive compensation, 35 days of annual leave, and comprehensive healthcare. This is an excellent opportunity to work with cutting-edge technology within a dynamic environment.

Qualifications

• Proven ability to deliver well-engineered software from concept to delivery.
• Strong knowledge of algorithms and data structures is essential.
• Interest in quantitative finance is highly desirable.

Responsibilities

• Collaborate with researchers to implement solutions effectively.
• Own end-to-end software projects, driving them from concept through to production.
• Optimise performance of trading and research systems.

Skills

High-quality software engineering

Architectural awareness

Algorithms and data structures

Effective prioritization

Clear communication

Job description

The role

Engineering underpins our continued growth and success, and we are committed to recruiting and developing the world’s best Engineers.

Our Research Engineers 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 judgment 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 join us?

• 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