About this role
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