Company Description At Axon Labs, we are building the DeepMind of real-time intelligence with the business model of Renaissance Technologies. We combine cognitive science, neuroscience, and machine learning to build brain-inspired prediction models that operate in real time and on the edge. Our technology is already proven in live markets, and we are focussing on high-frequency trading as the...
You will work closely with traders, portfolio managers, and quantitative teams to frame analytical needs, while partnering with engineering groups responsible for live trading, risk, and P&L platforms to ensure correct implementation and prioritisation. This is emphatically not a desk quant, quant research, or pure software engineering role.
A Top-tier London quant fund is hiring a Quantitative Developer to build its reporting and analytics platform that delivers real-time trading insights to hundreds of researchers across all their asset classes. If you've already been writing production code in a systematic trading environment, you know what this means: resilient tools that quants and traders depend on to understand PnL, monitor...
Paragon Alpha are working with a hedge fund famous for mid frequency equity trading, while also having a successful L/S Equity desk running strategies out of London. The desk need to hire two Quantitative Developers in London, to build signal generation frameworks, back-testing engines, and full stack trading apps. You would be on a specialised desk and partnering with traders and researchers,...
Quant Developer - Equities Location: London or Dubai Permanent Our client are a market leading hedge fund, with a global reach in relation to their clients and offices. They are on the lookout for a talented Quant Developer with exceptional skills in python programming, and solid experience on equities focused projects Responsibilities for an Equity Derivatives Quant: • Core Trading Engine...
Senior Quant Trader - DeFi / On-Chain Trading A leading digital asset trading firm, seeks an experienced Quant Trader to lead high-frequency, market-neutral strategies in decentralized markets. The Role: Own the complete strategy lifecycle in on-chain trading—research, development, and execution. Access proprietary infrastructure, tools, and capital to drive results in this rapidly growing...
You will work closely with traders, quantitative researchers, and other engineers to design, build, and maintain high-quality software systems that support trading strategies and business operations across a diverse set of asset classes. Key Responsibilities - Design, develop, and maintain scalable, high-performance applications
NEW JOB ALERT 🚨 Associate Front Office Developer – Global Trading Firm ⚡ This is an excellent opportunity for an early-career developer to join a quantitative engineering team working closely with traders and analysts on real-time trading, valuation, and risk systems within global energy markets. You’ll gain hands-on experience building and supporting front-office software while learning...
You will be joining a collaborative environment where traders, researchers, and engineers work closely to solve complex problems in real time.
You will help ensure trading systems operate smoothly while contributing tools, automation, and process improvements that support quantitative strategies.
We are partnering with a leading hedge fund that is hiring a full stack engineer to join a high performing technology team supporting one of their key trading groups. The team builds advanced analytics platforms and internal tools using Python on the backend, with modern React and TypeScript driven frontends that help traders analyse markets, manage risk, and make informed investment...
Want to work at one of the most successful energy trading firms? Here you’ll take on a broad mix of quantitative risk and analytics work across a wide range of commodities products. If you enjoy variety and real impact, this is the kind of role that offers both. You’ll stay hands-on - building and enhancing risk models in Python, working closely with traders, risk managers and the wider...
You will collaborate closely with quants, traders, and risk managers to develop scalable, high-performance platforms that process large datasets and support complex pricing and risk analytics across asset classes. Key Responsibilities - Design, develop, and maintain Java-based risk platform components that support pricing, market data integration, and risk analytics.
You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets.
You will develop deep product knowledge, support internal teams, help design and refine product capabilities, and contribute to pre-sales demo setup and configuration. While some client interaction will still occur, the core emphasis is on product development, internal enablement, and platform improvement.
Python Software Engineer – High-Frequency Trading We're working with a high-frequency trading (HFT) firm that is looking to expand its technology team with a Python Software Engineer. This is an opportunity to join a trading firm operating at the cutting edge of global markets, where technology and speed are paramount. They build and run highly scalable, ultra-low latency trading systems that...
Pricing Algo Java Engineer Up to £160,000 on the base I am looking for experienced Java engineers to join one of Europe’s top-tier fixed-income algorithmic trading desks. The role involves building a greenfield execution system from the ground up, spanning five core business domains, with a strong focus on performance, reliability, and clean system design in a front-office trading...
You will be responsible for building and maintaining business-critical systems, developing automation for deployment, monitoring, and incident response, and collaborating closely with developers, researchers, traders, and platform teams to improve reliability, performance, and scalability across the platform.
You will be responsible for developing automated ETL pipelines, integrating new and alternative datasets, implementing data quality checks, and contributing to the firm’s core data framework while working closely with research and trading teams. Stack: Python, Databases/Datalakes, Git