Quantitative Data Engineer - AI-Powered Pipelines & Signals

G--researc; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Lunch provided via Just Eat for Biz

35 days' annual leave

9% company pension contributions

Informal dress code

Healthcare and life assurance

Cycle-to-work scheme

Monthly company events

Experience days with colleagues

Job summary

G-Research in London is shaping scalable platforms and tools for high-impact quantitative research. You will design systems that process vast data, build signals with researchers, and leverage LLM-based agents to automate data pipelines end-to-end.

The role emphasizes a strong software and data skillset, experience in production data workflows, and a collaborative environment that values innovation and flexibility. AI is embedded in daily workflows.

Qualifications

• Minimum 2:1 degree in a quantitative subject such as mathematics, statistics, computer science, physics or engineering.
• Combination of strong software engineering and data skills.
• Solid knowledge of algorithms, data structures and software fundamentals.
• Experience building production data pipelines with Python.
• Comfort applying probability and statistics to real-world data problems.
• Motivation from seeing your work deliver measurable value.
• A preference for highly collaborative environments that value innovation, proactivity and flexibility.
• Hands-on experience of LLM-based agents and workflows is desirable.
• Finance experience is not necessary; candidates from non-financial backgrounds are encouraged to apply.

Responsibilities

• Onboarding new third-party datasets, building the pipelines, normalisation and validation that make them research-ready
• Partnering with Quantitative Researchers to engineer features and build signals from onboarded data
• Using LLM-based agents and workflows to safely automate the pipeline from ingestion to signals
• Building tools and reusable workflows that help researchers and data scientists scale their work

Skills

Quantitative data processing

Python programming

Data pipelines

LLM integration

Probability & statistics

Collaborative mindset

Production-grade software

Strong academic record

Education

2:1 degree in maths/stats/CS/physics/engineering

Tools

Python

LLM platforms

Job description

G-Research in London is shaping scalable platforms and tools for high-impact quantitative research. You will design systems that process vast data, build signals with researchers, and leverage LLM-based agents to automate data pipelines end-to-end.

The role emphasizes a strong software and data skillset, experience in production data workflows, and a collaborative environment that values innovation and flexibility. AI is embedded in daily workflows.