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.
Engineering Team Role
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.
Role Overview: Reference Data Data Analyst
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
- 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
Our Commitment to Inclusion
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.
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