About G-20 Group
G-20 Group is a leading cross-asset trading firm active in delta-one and derivatives markets. Established in 2010, G-20 offers liquidity solutions, treasury management, and institutional advisory services. We are supported by an outstanding team of professionals, with a robust global presence in EMEA, Americas, and APAC.
Role Overview
We’re expanding our core team with a Quantitative Developer – Trading Systems and UI role, and we are looking for someone who combines strong analytical ability with pragmatic software engineering and a deep curiosity for markets.
Responsibilities
- Help traders to analyze and visualize their trading activities
- Work with trading and engineering to prototype, test, and integrate pricing and quoting models
- Contribute to core trading infrastructure: data ingestion, analytics, and monitoring
- Perform empirical research, back testing, and performance analysis using historical and real-time trading data
- Design, develop, and maintain user-friendly interfaces (UIs) for our analytical, monitoring and control applications
- Use AI and modern ML tools (including LLMs) to accelerate development, improve prediction, and enrich tooling
Requirements
- Undergraduate or Graduate Degree in Computer Science, Engineering, or a related field
- At least 3 years or more of experience in software development, ideally in a high-paced trading environment
- Strong software engineering skills in python and typescript/React.js with experience writing robust, performant and scalable code
- Self-driven, motivated, responsible and highly responsive individual
- Ability to work effectively in a fast-paced trading environment
- Able to deliver working projects and solutions effectively and quickly
- Basic understanding of financial markets and trading workflows
- Able to balance theory with practical implementation under real-time constraints
- Fluent English language ability (written and spoken)
Preferred / Desirable Experience:
- Familiarity with crypto, FX, or futures trading and market making
- Familiarity with pricing models and risk analytics
- Understanding of order book dynamics, liquidity provision, and latency-sensitive systems
- Practical experience with data analysis, time series, and statistical learning
- Hands-on experience in a trading firm, hedge fund, or market-making environment, ideally with exposure to traders or risk managers
- Exposure to cloud computing, containers (Docker), or distributed systems
- Working knowledge of machine learning, AI assistants, and/or LLM integration for code generation, data summarization, or signal extraction
Location and Right to work: This role will be based in our London office. Only candidates who reside in the UK within a commutable distance to London, and who possess the pre-existing right to work in the UK without needing company sponsorship need apply.
Join G-20 and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.