You will work with Python, Bash, and possibly simple C++ changes/deployment. You will join the market access team to build and support systems that interface with markets, brokers, and data providers for a tech-driven quant hedge fund.

You will work with Python, PowerShell, SQL, OMS/EMS platforms (FlexTrade, Triton, SpiderRock), Linux, Windows, cloud (AWS/Kubernetes), FIX, messaging systems, market data flows, and monitoring tools like Geneos/Zabbix. As part of a global hedge fund’s front-office technology team, you will directly support equity portfolio managers, traders, and analysts to ensure the reliability and performance of business-critical trading systems.

Work with Terraform, Ansible, Kubernetes, Python, Bash, Go, Jenkins, GitHub Actions, Prometheus, and Grafana to build infrastructure automation platforms supporting python-based quantitative research and trading systems. Manage on-premises resources across Ubuntu and Windows Server environments.

Builds cloud platforms for a systematic quant hedge fund's trading and research, using AWS (EC2, S3, VPC), Python/Bash, Jenkins/GitLab CI, Terraform/CloudFormation/AWS CDK, Docker, and Kubernetes to support digital asset and crypto systems.

You will work with Linux, AWS, Docker, Kubernetes, CI/CD pipelines, Python, Bash, and monitoring tools like Datadog, Prometheus, CloudWatch, or ELK. You will support and maintain the critical research and trading infrastructure for a quantitative hedge fund, acting as first-line support for platform-related issues.

Zanders★4.5 (2)· London

Work with modern C++ (STL, templates, RAII, unit testing, build systems); Python or Java; Linux; GPU compute (CUDA, ROCm); and HPC tools (MPI, Slurm). Lead quantitative engagements designing, developing, and validating models for market risk, counterparty credit risk (CCR), CVA/XVA, margin models, and derivatives pricing across asset classes. Act as a career coach for up to three direct reports.

Cboe Global Markets★3.7 (14)· London

You'll work primarily with Python to design and build highly reliable trading systems, working closely with advanced SQL, Linux, and optionally PostgreSQL, Snowflake, Apache Kafka, Apache Airflow, Django, Flask, or FastAPI. You'll expand data pipeline and event streaming functionality for Europe's largest equities exchange and related platforms, while leading complex projects, mentoring developers across multiple global teams, and participating in production support for Cboe Europe's trading operations.

Lead the Credit Risk Analytics IT team using S&P Global FRA (fraimWRX), Redis, Kafka, Spark, HBASE, HDFS, Kubernetes, Python, .NET, C#, MS SQL Server, and MS Azure. The team designs, integrates, and supports systems for calculating and reporting Credit Risk across all locations. This is a VP-level role managing onshore, nearshore, and offshore developers.

MUFG★3.3 (1k)· London

Works with S&P Global FRA, fraimWRX (AKS), Redis, Kafka, Spark, HBASE, HDFS, Kubernetes, Python, .NET, C#, MS SQL Server, MS Azure. Leads the Credit Risk Analytics IT team, designing and integrating Middle Office systems for calculating and reporting Credit Risk across all locations. Manages onshore, nearshore, and offshore teams.

You'll work with Python (FastAPI), Postgres, Redis, Docker/Kubernetes, and AWS. As a founding London engineer, you'll own production services and build scalable backend systems for a commodity e-commerce and electronic trading platform provider.

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.

You will build and deploy production trading infrastructure using Python, FastAPI, Postgres, Redis, Docker/Kubernetes, and AWS. As a founding member of the London engineering team, you'll design and own high-performance APIs and backend services for the company’s electronic commodity trading platforms. No team size or scope is stated.

You will work with Java, Linux, low-latency messaging and network protocols, JVM tuning and JNI. You will build automated trading strategies and the foundational technologies for electronic market making in Fixed Income, Currencies and Commodities on a Systematic Market Making team. As a Vice President, you will manage your own time to maximise impact on a flat-structured team.

Goldman Sachs★3.9 (2.3k)· London

You will work with Java, JVM tuning, Linux, low-latency messaging, and concurrent programming on the Systematic Market Making team. The team builds automated trading strategies and electronic trading tools for Fixed Income, Currencies

Develop Python-based backend services and data pipelines for trading and risk management in investment banking, using Pandas, NumPy, SQL, Flask/FastAPI, and enterprise platforms like Quartz or SecDB. Work with large financial datasets to support risk, PnL, and trade lifecycle workflows, collaborating with quants, traders, and risk teams.

Cboe Global Markets★3.7 (14)· London

You will work with Cisco, Arista, Palo Alto; BGP, OSPF, MPLS, multicast, HSRP; AWS; UNIX/Linux; packet analysis tools (tcpdump, Wireshark, tshark); and scripting/automation. As a NOC Engineer, you operate and support network connectivity across distributed, latency-sensitive trading platforms for Cboe Global Markets, a market

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 Cisco, Arista, Palo Alto, AWS, BGP, OSPF, MPLS, multicast, HSRP, tcpdump, Wireshark, UNIX/Linux, scripting, and APIs. As a NOC Engineer, you operate and support network connectivity across latency-sensitive trading platforms spanning on-prem and cloud environments. No team scope is stated.

Morgan Stanley★3.8 (5.4k)· London

Work with Scala, Java, and Python on a front-to-back trading and risk management platform for the Commodities division at Morgan Stanley. You will design and build systems supporting pre-trade pricing, trade lifecycle, risk management, and market data. This is a VP-level role on a global team.

Cboe Global Markets★3.7 (14)· London

Develop Python systems for Cboe Europe's equities exchange, using SQL, Linux, PostgreSQL, Snowflake, Django, Flask, FastAPI, Apache Kafka, Apache Airflow, and Java. You will build and expand data pipelines and event streaming for the largest equities exchange in Europe, as part of a small development team.

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

Systems Engineers at Jump Trading work with Linux/UNIX, Python, and networking technologies (routing, multicast, ethernet) to build automation and optimize infrastructure. They monitor, analyze, and troubleshoot the trading platform, which supports Jump’s high-frequency trading operations in global data centers. This is an individual contributor role without a stated team size.

Jump Trading★3.8 (11)· London

Work with Linux/UNIX, shell scripts, Python, and networking concepts like routing, multicast, and ethernet. You will join Trading Infrastructure to architect, build, and maintain low-latency trading platforms, including colo design and exchange connectivity.

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.