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