Hudson River Trading★4.5 (2)· London

You will write and maintain critical trading infrastructure using C/C++ or Python on Linux, working closely with engineers who design trading algorithms in a fast-paced, real-time environment. The role is with Hudson River Trading, a firm that brings a scientific approach to trading financial products.

Work with modern C++ (C++17/20, template metaprogramming), network programming, distributed computing, and Unix/Linux. You will design and build efficient code for the production trading and research system within a newly formed Low Latency Trading group at a systematic hedge fund.

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.

Work with C++, Python, Unix, and git in a quant fund's crypto division. You will build and optimize trading strategies, research new protocols and data sources, and design and improve research and trading systems.

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.

You will use Python, C++, Linux/UNIX, PyTorch, JAX, or TensorFlow to develop and deploy advanced ML models (Deep Learning, Reinforcement Learning, sequence models) for forecasting asset volatility. Part of a specialized research team, you will perform greenfield research on unstructured datasets to discover new alpha signals for trading at a systematic investment firm.

BlackRock★3.8 (632)· London

Build and maintain equity risk models using Python within the Aladdin Financial Engineering team, which develops financial models for risk management analytics used by BlackRock and its clients. This role also contributes to applying AI and automation to modernize workflows.

Will work with KDB+/q, real-time data ingestion, historical databases, and Linux/Unix scripting to build platforms for Commodities and Global Markets, supporting Quantitative Investment Strategies with market data for trading, risk, and research across multi-asset products including commodities, options, futures, and indices. Joins a small, hands-on team modernising the KDB ecosystem with cloud migration and AI.

KDB+/q, Python, and Linux/Unix. Builds and optimises real-time data platforms supporting systematic trading, quantitative research, and investment decision-making for a global investment firm.

You will use modern C++ and Linux to develop and optimize low-latency trading infrastructure and distributed systems. The team builds market data, order entry, and execution systems for global financial markets, supporting real-time trading and quantitative research. You collaborate closely with traders and researchers.

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.

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.

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.

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.

Tower Research Capital★4.1 (12)· London

You'll work with C++, Rust, Python, and large-scale build systems like Bazel, Buck2, and CMake to design developer tools, CI/CD pipelines, and infrastructure automation. Tower Research Capital is a quantitative trading firm where you'll partner across teams to enhance platform tooling, optimize build performance, and establish DevOps best practices for a high-performance electronic trading infrastructure.

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.

You'll work with Python, Linux/Unix, and observability tools (metrics, logs, tracing, alerts) to build and scale Qube Research & Technologies' high-performance trading platform. The role involves collaborating across developers, researchers, traders, and platform teams to design systems, automation, and deployment infrastructure that support reliable, low-latency quantitative investing operations across global liquid 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.

Man Group★3.6 (14)· London

Man Group seeks a Senior Systems Engineer to build and maintain infrastructure automation frameworks supporting global trading and research operations, working with Terraform, Ansible, Kubernetes, Python, Bash, PowerShell, Prometheus, Grafana, Jenkins, and CI/CD tools across Ubuntu and Windows Server environments at scale. The Platform Engineering team supports quantitative research and trading systems managing tens of thousands of cores and hundreds of terabytes of memory, creating self-service platforms for hundreds of users across the organization.

Hudson River Trading★4.5 (2)· London

You'll work with Linux systems, Python, shell scripting, and configuration management tools to build and maintain Hudson River Trading's massive distributed HPC clusters and multi-petabyte storage infrastructure that support live trading globally. The R&D team operates some of the world's largest on-premises GPU and CPU compute clusters, and you'll optimize hardware, automate infrastructure, and ensure 24/7 system reliability across worldwide data centers.

Hudson River Trading★4.5 (2)· London

This distributed compute engineer role at Hudson River Trading focuses on building and optimizing the research cluster infrastructure powering the firm's algorithmic trading strategies. You'll work with C++, Python, Linux systems, and in-house or open-source tools to manage resource scheduling, data caching, job monitoring, and workload optimization while collaborating directly with quantitative traders and engineers across trading teams.

Hudson River Trading★4.5 (2)· London

You'll develop high-performance C++ systems for live trading infrastructure at Hudson River Trading, working with market data, order execution, and fault-tolerant distributed systems across equities, options, futures, crypto, and fixed income. The role involves optimizing latency-critical code, interfacing with specialized hardware like FPGAs, and collaborating with researchers, traders, and hardware specialists on projects spanning client platforms and scalable research workflows. You'll need advanced C++, Linux/UNIX expertise, and deep knowledge of system performance and networking.

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.