{"id":1034244,"url":"https://alion.io/job/g-research-research-engineer","title":"Research Engineer","company":{"id":445185,"name":"G-Research","domain":"gresearch.com","url":"https://alion.io/company/g-research","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":21,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":234000,"period":"year","method":"role_country_seniority_unknown","sample_n":131},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"C#","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-03-11T00:00:00Z","employer_posted_date":"2026-03-11","last_verified_at":"2026-10-12T02:52:40Z","board_verified":true,"closed_at":null,"days_open":215,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":214},"description":"We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.\nFrom 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.\nAs 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.\nTake the next step in your career.\nThe role\nEngineering underpins our continued growth and success, and we are committed to recruiting and developing the world’s best Engineers.\nOur 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.\nThe core tech stack is C# and Python, productionised in our own datacentres.\nAreas of focus for these teams include:\nTrading systems - reliable and performant systems able to trade 24/6 for our customers, with real money at stake\nModelling - building core capabilities and assisting quant researchers in our cutting-edge prediction capabilities\nSimulation - back-testing frameworks for validating the strategies our researchers produce and for assessing their ongoing performance\nResearch tooling - front-end UX and workflow for our quant researchers\nPerformance and scalability - optimising our trading and research systems to unlock new capabilities\nTo give a flavour of the work we do, here are some of our recent projects:\nLow level performance optimisations in our core simulation engine, unlocking the next advances in quant research\nExperimenting with alternative solvers in a core trade planning system\nIntegrating our high and low frequency systems for more optimal trading\nRe-architecting systems to provide a seamless path from research to production for machine learning models\nEnabling large-scale distributed training of machine learning models\nContributing back to open-source projects\nWho are we looking for?\nThe ideal candidate will:\nDeliver high-quality, well-engineered software with strong architectural awareness\nTake end-to-end ownership of solutions, from concept to delivery\nDemonstrate solid knowledge of algorithms, data structures and software fundamentals\nShow interest in quantitative finance and the role of engineering within it\nPrioritise effectively to deliver measurable business impact\nProactively identify and implement scalable improvements\nStay ahead of emerging technologies and drive their adoption\nApply sound judgment and balance competing approaches\nCommunicate clearly and adapt their style to different audiences\nUnderstand others’ needs to deliver mutually beneficial outcomes\nCollaborate effectively and build strong relationships across the business\nWhy join us?\nHighly competitive compensation plus annual discretionary bonus\nLunch provided (via Just Eat for Business) and dedicated barista bar\n35 days’ annual leave\n9% company pension contributions\nInformal dress code and excellent work/life balance\nComprehensive healthcare and life assurance\nCycle-to-work scheme\nMonthly company events\nG-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.\nWe want to ensure that applicants receive a recruitment experience that enables them to perform at their best. 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