Quantitative Developer (London) at G-20 Group

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

06 Jul, 26

Salary

0.0

Posted On

07 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Typescript, React.js, Software engineering, Trading systems, Pricing models, Risk analytics, Data analysis, Time series, Statistical learning, Machine learning, AI, LLMs, Distributed systems, Docker, Cloud computing

Industry

Investment Management

Description

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 Graduate degree (MSc/PhD) in Computer Science, Engineering, or similar 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.

Responsibilities

The role involves developing trading infrastructure, analytical tools, and user-friendly interfaces while collaborating with traders to integrate pricing models. You will also perform empirical research, backtesting, and utilize AI tools to enhance trading performance and system capabilities.