Research Engineer

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 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 data centres.

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 eventsG-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

Summary

Location:

London, UKType:
Full time