Remote Quant Developer Jobs in London

You will work with Rust, Tokio, AWS, Linux, Python, FIX, REST, WebSocket, TCP/UDP, and DPDK to design, develop, and optimise low-latency, mission-critical trading systems for Keyrock’s Capital Markets division, a digital asset market maker and high-frequency trading firm.

Bloomberg★3.8 (1.1k)· London

Administer Windows and Linux production servers, manage data center and colo infrastructure, and automate with PowerShell, Python, Puppet, Ansible, Foreman, and OpenStack. The team delivers Bloomberg TEMS, a high-performance trading system processing billions in daily transactions for global banks.

Senior Data Engineer at Softwire, a UK digital consultancy, working with Python, SQL, Databricks, Snowflake, Fabric, and AWS/Azure/GCP across data architecture, pipeline design, and governance. You'll lead complex data engineering projects for clients across public and private sectors—from healthcare research platforms to energy market infrastructure—while mentoring junior engineers and shaping technical direction on multi-stakeholder engagements.

A quant developer will enhance a financial analytics library and platform, working with option pricing models and calibrating models to market data. The role involves collaborating with engineering and quant teams on architecture and best practices within a large, complex codebase for a London-based, remote-first fintech.

Hudson River Trading★4.5 (2)· London

You will work with macOS, Apple Business, MDM (Jamf, Workspace One, Intune), AutoPkg, Munki, Bash/Python, and enterprise networking. As an endpoint engineer on Hudson River Trading’s Enterprise Technology team, you will solve macOS challenges and improve user experience across the firm, which builds sophisticated computing environments for algorithmic trading.

Bounteous★3.5 (80)· London

You will work with Linux, Bash, Python, SQL, Grafana, Zabbix, Splunk, Logic Monitor, Kafka, AMQ, Tomcat, FIX protocol, and AWS (EC2, CloudWatch, S3). Supporting Nadex, a regulated derivatives trading exchange, you will ensure stability and performance of production and demo trading environments.

You will work in Rust on a fully on-chain order book, matching engine, execution layer, and custom consensus layer for a new Layer 1 blockchain. This L1 is being built from scratch for 24/7 trading of tokenised real-world assets, spot and perps.

BlackRock★3.8 (632)· London

You will apply machine learning, AI, statistical and econometric techniques to large datasets, building research pipelines and analytical tools for alpha discovery. You join BlackRock’s Systematic Active Equity team, which manages over $350 billion in hedge fund and long-only strategies, to develop novel investment signals.

BlackRock★3.8 (632)· London

Work with React, Angular, or Vue, Java 17+, RESTful and GraphQL APIs, and SQL/NoSQL databases including Ignite, plus Spring Framework and Spring Boot. You will build scalable web applications and backend services for BlackRock’s Aladdin platform, which powers global investment and trading operations.

BlackRock★3.8 (632)· London

Build and maintain equity risk models using Python within the Aladdin Financial Engineering team, which develops financial models for risk management analytics used by BlackRock and its clients. This role also contributes to applying AI and automation to modernize workflows.

You'll work with F5 LTM & GTM, TMSH, iControl, iRules, Python, Ansible, Linux, and networking protocols (TCP/IP, BGP, HTTP, SSL). The team supports ultra-low-latency trading platforms and global DNS for a financial/trading firm's application delivery.

Senior Java engineer working with Java, low-latency, multi-threading, microservices, API design, LLMs, Claude Code, Copilot, MCP, and AI automation. The newly formed Service Modernisation & AI team modernizes critical legacy Java services using AI-driven refactoring and builds AI-powered development tooling.

Build core exchange logic and production-grade Solana smart contracts in Rust, working on APIs, distributed systems, and low-latency backend infrastructure. The team is building a high-performance perpetual futures DEX on Solana, designing on-chain and off-chain systems for matching, margining, liquidation, and risk enforcement.

Wintermute seeks a quant researcher experienced in mid-frequency trading (MFT) or short-term alpha strategies to adapt and scale existing approaches to cryptocurrency markets. You'll use the company's research, backtesting, and execution infrastructure while collaborating with quant, trading, and development teams. Wintermute is an algorithmic trading firm specializing in digital assets, providing liquidity across crypto exchanges and OTC solutions.

Wintermute, an algorithmic trading firm specializing in digital assets, seeks an ML researcher to develop alpha signal generation pipelines using deep learning, particularly for high-frequency and time-series data. You'll work on data ingestion, feature engineering, model training, and deployment in collaboration with trading and infrastructure teams.

Version 1★3.9 (39)· London

You'll work with Java, Spring/Spring Boot, JUnit, Hibernate, Apache Kafka, REST APIs, SQL, Docker, Kubernetes, and CI/CD tools like Jenkins to build high-quality software solutions for Version 1's clients across Financial Services and Capital Markets. The role involves developing maintainable, tested code in a cross-functional Scrum team while following SOLID principles and best practices, with potential front-end contributions and exposure to cloud platforms like AWS and Azure.

Wintermute, a crypto-native algorithmic trading firm, seeks a Product Engineering Team Lead to own architecture decisions and technical direction for the team building client-facing and internal trading platforms. You'll lead a team of engineers while remaining hands-on with the codebase, setting engineering culture and choosing technologies to meet high-performance trading demands. The listing specifies no particular tech stack or team size.

You'll work with Python and C++ on Wintermute's algorithmic trading infrastructure, using Linux, PostgreSQL, and proprietary high-frequency trading systems. The Core Development team builds liquidity provision and OTC trading solutions across cryptocurrency exchanges and blockchain platforms. You'll collaborate closely with traders, quantitative researchers, and other developers on a small, highly efficient team.

You'll develop and scale Wintermute's global cryptocurrency trading platform using C++ and Python on Linux, working on real-time data capture, order entry across dozens of exchanges, and robust connectivity. The role spans trading platform expansion, data infrastructure, and related software at one of the largest algorithmic trading firms in digital assets. You'll report directly to the CTO with immediate independence and responsibility.

You will work with C++ to build scalable, high-performance options trading systems for Wintermute's options team, one of the largest crypto options trading desks. The role involves collaborating with traders on the full options stack across centralized finance, decentralized finance, and OTC platforms. Wintermute is a major algorithmic trading firm specializing in digital assets and cryptocurrency liquidity provision.

You'll develop C++ trading systems and data infrastructure for an algorithmic cryptocurrency trading platform, working with high-performance code optimization, client-server applications, and financial modeling. Wintermute is a major digital asset liquidity provider and algorithmic trading firm founded in 2017. You'll report directly to the CTO with significant independence, collaborating with experienced developers and traders on scaling trading systems and building analytics infrastructure.

Hudson River Trading★4.5 (2)· London

You'll work with Linux systems, Python, shell scripting, and configuration management tools to build and maintain Hudson River Trading's massive distributed HPC clusters and multi-petabyte storage infrastructure that support live trading globally. The R&D team operates some of the world's largest on-premises GPU and CPU compute clusters, and you'll optimize hardware, automate infrastructure, and ensure 24/7 system reliability across worldwide data centers.