Summary
✨ AI‑Generated
A Python engineering role focused on building a next-generation data platform for macroeconomic and fixed-income analysis. You will design data pipelines covering ingestion, ETL, quality control, storage, and API consumption while partnering closely with investment professionals, researchers, strategists, and technology teams to deliver business-critical solutions.
Highlights
Build modern data infrastructure that directly supports investment decisions, collaborate with portfolio managers and researchers, and work on scalable data platforms in a sophisticated financial environment.
Description
Our client, a leading global multi-strategy hedge fund, is looking for a Python Engineer in London to join a growing Macro & Fixed Income Data Technology team.
This team sits at the intersection of technology, quantitative research, portfolio management, and trading, building the next generation of data infrastructure used by investment professionals across global markets.
You'll play a key role in designing and developing a modern data platform, working closely with portfolio managers, researchers, economists, and technology teams to deliver scalable, high-impact solutions that directly support investment decision-making.
Responsibilities
Design and build core components of a next-generation macro and fixed income data platformDevelop scalable data pipelines covering ingestion, ETL, quality control, storage, and API consumptionPartner with portfolio managers, researchers, strategists, and technology teams to deliver business-critical solutionsDrive improvements in platform performance, stability, scalability, and reliabilityContribute to the evolution of cloud-native data architecture and engineering best practices
Requirements
Strong Python development experience within a backend engineering environmentExperience supporting trading, investment, market data, or research platformsExpertise building data platforms, data lakes, warehouses, ETL pipelines, or large-scale data infrastructureKnowledge of modern cloud and big data technologies such as Spark, Delta Lake, Athena, AWS Glue, or similarExperience with distributed systems, databases, Docker/Kubernetes, and performance optimisation
Why Join?
Direct exposure to portfolio managers and investment teamsOpportunity to build greenfield technology with visible business impactWork on complex macro and fixed income datasets at scaleCollaborative environment combining engineering, research, and investingJoin a high-performing team operating at the forefront of financial technologyInterested in learning more? Apply now or reach out directly for a confidential discussion.
