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.

Hudson River Trading★4.5 (2)· London

You will use Ansible, Terraform, Microsoft Graph API, PowerShell, Microsoft Intune, Autopilot, Entra ID, and Active Directory to build configuration-as-code and infrastructure-as-code solutions. You will help scale HRT’s global hybrid Windows deployment, managing user endpoints, mission-critical servers, cloud infrastructure, and secure remote computing environments. This role is on the Enterprise Engineering team.

Work with Python, pandas, NumPy, SQL and time-series databases (e.g. kdb+, InfluxDB, TimescaleDB) along with cloud platforms (AWS, Azure, GCP). The role builds and optimises data infrastructure—scalable architectures, pipelines and querying—for the Global Oil desk, supporting investment decisions and trading strategies.

You'll operate vulnerability scanning tools across on-premise, cloud, and hybrid environments, using scripting/automation (e.g., Python, PowerShell). You join Qube Research & Technologies, a global quantitative and systematic investment manager, working within the security function to run the vulnerability management programme across infrastructure and cloud.

Jupiter Asset Management★4.3 (4)· London

Work with Python (pandas, NumPy, SciPy, matplotlib/seaborn), SQL, Azure cloud tools, large language models (LLMs), and Power BI. As a Data Scientist at this investment management firm, you build predictive models, research alternative data sources for alpha signals, and deliver data-driven solutions directly with investment professionals.

Flow Traders, a proprietary trading firm, seeks a Senior Research Engineer to lead development of their trading model research framework using Python, PyTorch, Polars, Pandas, Ray, AWS/Azure/GCP, Docker, and Kubernetes. You'll design end-to-end ML pipelines for training and deploying trading models in production, then partner with Quantitative Researchers to develop data-driven systematic trading strategies and alpha signals.

Hudson River Trading★4.5 (2)· London

You'll design and scale Hudson River Trading's global WAN infrastructure using Python, Ansible, Terraform, and advanced routing protocols (BGP, MPLS, Segment Routing, OSPF/IS-IS) across multi-vendor environments (Arista, Cisco, Juniper) to support their HPC data centers and algorithmic trading operations worldwide. The role involves strategic WAN architecture, capacity planning, traffic optimization, and mentoring within the WAN Engineering Team that interconnects distributed on-premises data centers and trading facilities globally.

Hudson River Trading★4.5 (2)· London

You'll design, build, and maintain low-latency trading network infrastructure across 25+ countries using Arista and Cisco devices, layer 2/3 protocols (OSPF, BGP, PIM, IGMP), and tools like tcpdump and Wireshark. Working with Hudson River Trading's Systems and Trading Operations teams, you'll handle everything from product selection and routing configuration to troubleshooting, with exposure to microwave networks, optical transmission systems, and cloud platforms. This senior role requires 5–10 years of network engineering experience, ideally in high-frequency trading environments, plus expertise in enterprise network design, capacity planning, and project lifecycle management.

Hudson River Trading★4.5 (2)· London

You'll design and engineer low-latency LAN and WAN infrastructure for Hudson River Trading's globally distributed HPC data centers using Arista EOS, Cisco NX-OS, Nvidia Cumulus, and SONiC switches. You'll work on spine-leaf architectures, routing protocols (OSPF, BGP, RoCEv2), and capacity planning to support massive GPU/CPU compute clusters for an algorithmic trading firm. The role requires 10+ years of experience and involves network design, vendor management, documentation, and mentoring as a senior technical resource.

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.