Use Python, Azure, Docker, Kubernetes, Apache Airflow, and GitHub Actions to build scalable ETL pipelines, financial data pipelines, and cloud-native infrastructure. This front-office role is at a systematic equity hedge fund modernising its quantitative research platform, working directly with portfolio managers and researchers. Experience with S&P Xpressfeed, Snowflake, Bloomberg, MSCI Barra, Databricks, and LLMs is advantageous.

Use Python, Azure, Docker, Kubernetes, Apache Airflow, and GitHub Actions to modernize a systematic equity hedge fund’s quantitative research and engineering platform. You will build scalable ETL pipelines, cloud-native infrastructure, and research-ready datasets, working directly with portfolio managers and quantitative researchers.

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.

Jump Trading★3.8 (11)· London

A 10-week internship working with Python on Linux, building and maintaining data pipelines and infrastructure for Jump Trading's proprietary trading platform, using Agile development and production code.

Jump Trading★3.8 (11)· London

An FPGA intern on Jump Trading's Core Development team will work with RTL (SystemVerilog/Verilog/VHDL), C, C++, and Python. The team builds next-generation, ultra-low-latency systems using FPGAs to accelerate trading and machine learning algorithms on a global scale.

Jump Trading★3.8 (11)· London

As a core development intern, you will design, code and test the firm's distributed trading system using C++ and Python on Linux, with Git for version control, and gain experience with Agile methodologies. The team builds and maintains Jump Trading's world-class low-latency trading platform and infrastructure.

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.