{"id":3103915,"url":"https://alion.io/job/g-research-quantitative-data-engineer","title":"Quantitative Data 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":"A","score":90,"open_postings":21,"ghost_share":0,"stale_share":0.19,"repost_share":0,"time_to_fill_p50_days":91,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"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":72000,"max_usd":164000,"period":"year","method":"role_country_seniority_unknown","sample_n":202},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-22T18:19:55Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-26T00:30:11Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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\nQuantitative Data Engineers take data from its raw source through to live signals, working alongside Quantitative Researchers at each step in between.\nWe are using large language models to automate and scale this process, so that we can take on more data than any team could handle by hand. The work is already underway. You will work in Python on large-scale compute and industry-leading infrastructure, with access to leading internal and external models.\nAI is part of how every team here works, accelerating thinking and delivering impact. All colleagues are expected to bring AI into their daily workflows.\nKey responsibilities of the role include:\nOnboarding new third-party datasets, building the pipelines, normalisation and validation that make them research-ready\nPartnering with Quantitative Researchers to engineer features and build signals from onboarded data\nUsing LLM-based agents and workflows to safely automate the pipeline from ingestion to signals\nBuilding tools and reusable workflows that help researchers and data scientists scale their work\nWho are we looking for?\nThe ideal candidate will have the following skills and experience:\nA strong academic record, including a minimum 2:1 degree or equivalent in a quantitative subject such as mathematics, statistics, computer science, physics or engineering\nA combination of strong software engineering and data skills\nSolid knowledge of algorithms, data structures and software fundamentals\nExperience building production data pipelines, with strong Python data processing skills\nComfort applying probability and statistics to real-world data problems\nMotivation from seeing your work deliver measurable value\nA preference for highly collaborative environments that value innovation, proactivity and flexibility\nHands-on experience of LLM-based agents and workflows is desirable\nYou don't need to have all of the above to apply. Finance experience is not necessary for this role and candidates from non-financial backgrounds are encouraged to apply.\nWhy should you apply?\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\nExperience days: all-expenses-paid, bucket-list outings with colleagues, from Michelin-star tasting menus to European day trips.\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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