You will work with Python 3.10+, JavaScript/TypeScript, Go, RabbitMQ, Kafka, PostgreSQL, Redis, OpenTelemetry, Prometheus, Grafana, and Zabbix on Linux servers. You will join a team building and supporting systematic trading models for a sports betting company. You will collaborate with quantitative researchers, developers, and traders.

You'll develop systematic HFT and market-making strategies in cryptocurrency markets using Python for research, signal generation, backtesting, and live performance analysis. Working with your own firm's capital, you'll own the full research lifecycle—from hypothesis to production deployment—optimising execution quality, latency, inventory risk and spread capture across global exchanges.

You'll work with C# and .NET as core systems, plus Python across quant and data groups, and may use other OO languages. The role involves designing and building high-impact trading and research platforms for a fixed-income hedge fund's front-office engineering team.

JPMorgan★3.9 (20k)· London

Lead projects on the Strategic Index Technology team, using Python, Java, C++, or C# to build and maintain the cross-markets index platform alongside Quantitative Research, Trading, and Sales.

Jump Trading★3.8 (11)· London

You will use advanced TypeScript, Python, and modern Web frameworks to build Web-based applications interacting with Jump Trading’s real-time trading platform. The Core Development team architects and maintains the firm’s world-class trading platform.

You will work primarily with C# and .NET, alongside Python used by quant and data groups. You will design, build, and enhance high‑impact trading and research platforms for a leading fixed income hedge fund, covering core trading systems and front‑office tooling.

You will work with Python, TypeScript, AWS (Cognito, Lambda, Fargate, API Gateway, S3, IAM), Terraform, PostgreSQL, and AI tools (Claude, GitHub Copilot, Cursor, LLM APIs). The team builds and evolves scalable microservices for BMLL Lab & Vantage, the company’s SaaS products for data science and visualisation on large financial datasets.

Castleton Commodities International★3.2 (24)· London

The engineer will work with Python, React, Angular, TypeScript, AWS, Snowflake, and CI/CD to build cloud-native tools for the front office. The team develops real-time analytics, backtesting engines, and market analysis tools to support energy commodity trading and risk management.

You will work with C++, Rust, Python, TypeScript, and protocols like FIX, WebSocket, and HTTP to build ultra-low-latency event-driven trading systems. The team develops Flow Traders' proprietary trading platform, covering venue connectivity, trading engines, and shared platforms for high-frequency trading across hundreds of global venues.

You will develop production Python systems with SQL and modern databases to build data pipelines handling terabytes of exchange traffic in real-time for Maven Securities, a proprietary trading firm. The role involves designing analytics and data infrastructure supporting traders and quant researchers across discretionary, systematic, and market-making strategies in global listed derivatives. Ideal experience includes large-scale data engineering, streaming pipelines, containerization, C++, React/TypeScript, and financial markets knowledge.

Qube Research & Technologies seeks quantitative developers to build high-performance trading infrastructure, research platforms, and analytics tools using C++, C#, or Python. You'll work on low-latency systems, ML pipelines, risk monitoring dashboards, and signal generation infrastructure supporting the firm's systematic investment strategies across all asset classes. The 5-6 month internship offers mentorship from industry professionals with potential conversion to full-time roles.

DRW's Cumberland/FICCO Tools Engineering team builds trading infrastructure and tools for fixed-income and options desks, working with Python, Java, C++, and TypeScript across both greenfield and legacy systems. Engineers alternate between embedded deployments on trading desks to solve immediate problems and returning to the central platform to extract reusable patterns for all desks. The role requires 2+ years multi-language experience, customer-facing delivery in ambiguous environments, and ideally familiarity with FICC options or delta-one trading systems.

Hudson River Trading★4.5 (2)· London

You'll build backend processes and UIs using Python and React for Hudson River Trading's trading and research infrastructure. Work on either the platform team supporting distributed-compute frameworks for model training across the compute cluster, or the acceleration team building trading oversight tools, risk assessment dashboards, and strategy research capabilities directly with algo developers and traders.