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.

Durlston Partners· London

You'll use Java, Spring Boot, Kafka, and AWS (EKS, S3), plus PostgreSQL, SQL Server, and CI/CD. The team builds the core trade processing, reconciliation, and reporting platform for a leading systematic hedge fund’s multi-asset trading, collaborating closely with traders and quants.

You will design and build Python services and APIs using AWS (Lambda, S3, ECS/EKS, Step Functions, Aurora), Kafka, and PostgreSQL/SQL Server/Snowflake to support portfolio construction, trading, and analytics. This Investment Technology role turns research tools into production-grade platforms for Portfolio Managers and Quantitative Researchers across Equities, Fixed Income, and Alternatives.

Build and own the cloud infrastructure for live AI-driven trading systems, using AWS, Kubernetes, Terraform, Python, Kafka, PostgreSQL, Redis, and ClickHouse. You will design deployment pipelines, multi-region environments, and observability with Grafana, Prometheus, and Loki. This is a founding engineering role, giving you direct ownership of the platform and architecture.

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.

Invesco★3.9 (499)· London

Senior Engineer works with Python, SQL (PostgreSQL, SQL Server), AWS (Lambda, S3, ECS/EKS, Step Functions, Aurora), Kafka, CI/CD, and AI tools (Copilot, Claude, ChatGPT, Bedrock). The role designs and builds applications and data pipelines for Invesco’s ETF platform, supporting portfolio construction, trading, analytics, and operations across Equities, Fixed Income, and Alternatives.

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.

LSEG★3.7 (402)· London

FTSE Russell seeks a Quantitative Engineer to build scalable applications supporting index calculations, back-testing, and analytics using Python, SQL, numpy, pandas, scipy, and cloud-native solutions with RESTful APIs and CI/CD pipelines. The role combines software engineering with quantitative finance to develop tools for index monitoring, validation, and rebalancing across equity, fixed-income, currencies, and commodities. Requires 2+ years in quantitative analytics within financial services and an advanced degree in Mathematics, Computer Science, Financial Engineering, Statistics, or Physics.

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.

Old Mission Capital, a proprietary trading firm, seeks a Python Software Engineer with 3+ years of production experience to refine and advance trading systems and mission-critical applications. You'll work with Python on Linux, relational databases like PostgreSQL or MySQL, and collaborate with quants, traders, and research teams to enhance system adaptability and scalability across multiple asset classes.

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.