G-Research
Job Description
Position: Quantitative Analyst (Python/C#) – Trading Platform
A premier research and technology organization in Greater London is looking for a Quantitative Analyst to elevate institutional trading outcomes through advanced statistical evaluation and software engineering in Python and C#. This role is designed for a technical specialist who can bridge the gap between high-level data science and low-latency execution.
The successful appointee will leverage their deep understanding of market microstructure to refine and innovate proprietary trading frameworks. You will be responsible for the full lifecycle of strategy enhancement, from identifying alpha signals in vast datasets to implementing robust, production-grade code. This opportunity provides a high-performance workspace that prioritizes creative problem-solving and cross-team synergy, supported by an elite compensation structure and an extensive suite of employee perks.
Job Data Table
| Category | Details |
| Company Name | G-Research |
| Location | Greater London, United Kingdom |
| Locality | London (Central/West End Hub) |
| Country | United Kingdom |
| City | London |
| Region | Europe |
| Job Type | Full-time |
| Salaries | Highly Competitive (Elite Tier) |
| Experience Level | Intermediate to Advanced |
| Travel | Minimal |
| Language | English |
| Benefits | Performance bonuses, healthcare, unique collaborative environment |
Skills & Competency Table
| Key Skill | Level |
| Python (Data Science Stack) | Expert |
| C# (Systems Programming) | Expert |
| Market Microstructure Analysis | Expert |
| Quantitative Strategy Innovation | Advanced |
| Statistical Modeling | Expert |
| Low-Latency Trading Concepts | Advanced |
Salaries Pay Calculator Table
| Annual Salary (Base) | Bonus/Profit Share | Total Compensation | Notes |
| £100,000 | £50,000 | £150,000 | Baseline for entry-to-mid career quants at G-Research. |
| £150,000 | £150,000 | £300,000 | Typical for established quants with strategy ownership. |
| £200,000+ | £200,000+ | £400,000+ | Upper-tier for senior researchers driving high alpha. |
Job Summary
This role at G-Research involves using Python and C# to analyze and improve automated trading strategies. You will study market microstructure to innovate new trading approaches, working in a highly collaborative, central London environment. It requires elite quantitative skills and the ability to bridge research with production-grade platform engineering.
5 FAQs
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What programming languages are central to this role? The role requires high proficiency in both Python (for research) and C# (for platform development).
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Where is the office located? The position is based in the Greater London area, known for its high-tech research facility.
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What is the primary focus of the analysis? A deep understanding of market microstructure is required to enhance client trading and innovate strategies.
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Does the firm offer a collaborative environment? Yes, the workplace is specifically designed to foster creativity and collaboration among researchers and engineers.
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Is the compensation competitive? G-Research is known for offering elite, market-leading compensation and comprehensive benefits packages.
Expert Analysis
In 2026, the “Quant-Dev” hybrid role is the most sought-after profile in London. For G-Research, success requires more than just backtesting; it requires an understanding of Order Book Dynamics and how C# execution logic interacts with Python-driven signals. Mastering Asynchronous Programming in C# is now critical for maintaining a competitive edge in high-frequency environments.
Location & Logistics Guide
Located in London, one of the world’s leading financial and tech centers. G-Research offices are typically located in the West End (Fitzrovia) , providing a unique alternative to the traditional City or Canary Wharf vibes. The area is highly accessible via the Elizabeth Line and major Underground hubs. Wikipedia URL:https://en.wikipedia.org/wiki/London
Career Path
A Quantitative Analyst at G-Research can advance to Senior Quantitative Researcher , Sub-Desk Head , or Chief Scientist . The firm’s focus on research allows for a transition into Machine Learning Leadership or Algorithmic Architecture , with many quants eventually leading their own independent research streams and sharing in the resulting profit.
To apply for this job please visit www.learn4good.com.