Data Analyst

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 Reference Data underpins G-Research’s trading and research workflows by curating core market datasets. As a Data Analyst, you will own day-to-day data integrity and investigate anomalies end to end. You will partner with engineers and stakeholders to improve pipelines, controls and downstream usability. This is a highly stakeholder-facing role requiring proactive communication, accountability and strong teamwork. Key responsibilities of the role include: * Owning daily data quality across reference data products including instruments, corporate actions, calendars, pricing and identifiers * Designing and maintaining data quality checks, dashboards and alerting * Leading root cause analysis on incidents including trace lineage, identifying failure modes and driving remediation with engineering * Communicating proactively with stakeholders, setting expectations and explaining impact, severity and timelines * Driving issues to closure through clear ownership, tracking actions, validating fixes and preventing regressions * Contributing as a strong team player by documenting learnings, sharing context and improving team standards ### Who are we looking for? The ideal candidate will have the following skills and experience: * Strong SQL skills * Strong Python skills for dataframe analytics using pandas or polars * Confident use of AI coding assistants with sound judgment and validation * Financial markets domain knowledge * A collaborative approach to working with stakeholders * An automation-first mindset to reduce RTB and eliminate recurring manual work Nice to have * Familiarity with Git, notebooks and reproducible analytics practices * Experience working with engineers in modern deployment environments such as containers or Kubernetes ### 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 _G-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_