Jobs at Optiver

Ten-week internship working on trading floor automation and operations for market-making. Build tools, data pipelines, and automated workflows; investigate production issues; use AI-assisted workflows; collaborate with traders, researchers, and engineers; own a project from definition through implementation under mentorship.

As a Machine Learning Modelling Engineer intern, leverage AI and deep learning to drive insights and innovate strategies impacting global financial markets. Collaborate with researchers and traders, implement improvements, and utilize computing infrastructure for problem-solving.

Design and enhance the Optiver Research Platform: develop features and improve performance for orchestration, job scheduling, cluster management, and big-data processing. Build a managed compute and data platform using Python (and Rust where applicable). Integrate new technologies, collaborate with global traders, researchers, and engineers, and set technical direction.

Manage end-to-end technical recruitment for experienced hires: sourcing, headhunting, interviewing, negotiating offers, stakeholder coaching, pipeline reporting, and delivering a high-touch candidate experience.

Build and operate live pricing data systems and historical replay frameworks, integrate external datasets, optimize performance across C++/Python boundary, and collaborate with traders and researchers to deliver production-quality pricing data pipelines with monitoring and data-quality validation.

Design, implement, support and optimise complex international LAN/WAN, security and data center networks across APAC. Automate, monitor and benchmark networks using IaC and collaborate with developers and hardware engineers to ensure a reliable, low-latency infrastructure for trading systems.

As an FPGA Engineer, you will design and implement high-speed hardware for trading systems, collaborate with traders and developers, and advance low-latency techniques.

Develop and enhance the capabilities of the Optiver Research Platform by building features in Python and Rust, managing compute infrastructure, and collaborating with global teams to solve complex problems.

Lead the development of systematic intraday trading strategies, managing the full research-to-production lifecycle and driving execution and performance in trading.

You will design, develop, and deploy services in a trading platform, collaborate with traders, and optimize trading systems.

Join the China Options team as a Senior Software Engineer, driving architectural direction, optimizing trading systems, and collaborating with traders to ensure rapid development and impactful solutions.

As a Core Software Engineer at Optiver, you'll build and maintain high-performing trading systems, collaborating with teams to deliver robust solutions in a fast-paced environment.

The Engineering Lead will oversee the APAC Data Engineering Platform team, responsible for developing a scalable data platform, leading team development, collaborating with stakeholders, and ensuring high engineering standards.

Design, build, and operate Optiver's global observability platform covering telemetry collection, ingestion, storage, query, visualization, alerting, diagnostics and service health. Build APIs, integrations, libraries, dashboards and automation to improve telemetry quality, scalability, reliability, cost-effectiveness and developer/operator experience. Collaborate with engineering, trading and ops to improve adoption and production investigation workflows and own operational quality of platform components.

Design, build, and operate Optiver's shared observability platform across telemetry collection, ingestion, storage, query, visualization, alerting and diagnostics. Improve scalability, reliability, cost-effectiveness and developer adoption of telemetry systems; build APIs, integrations, dashboards, automation and tooling; collaborate with engineering, trading and operations teams; own operational quality, incident learnings, and instrumentation standards.

Lead Amsterdam procurement operations and help build the global Req-to-Pay operating system. Stabilize R2P processes, improve Coupa and downstream data quality, embed AI/automation (agentic intake, AI-driven orchestration), deliver spend reporting, enable suppliers, and manage stakeholder adoption across Procurement, Finance, AP and Legal.

Build and optimize machine learning infrastructure and platforms, ensuring stability, efficiency, and scalability for large-scale data model training and simulations.

The Machine Learning Modelling Engineer will leverage AI and deep learning, implementing complex models, optimizing processes, and collaborating on experiments.

As a C++ Software Engineer, you will develop and optimize systems for pricing, quoting, and executing trades in commodities, collaborating closely with traders and researchers.

Design, build, deploy, and evolve high-performance trading and research platforms. Develop automated trading systems running machine-learning models, improve simulation and backtesting pipelines, partner with traders and researchers on feature engineering and experimentation, design scalable data platforms and pipelines, and monitor and troubleshoot production systems for stability and performance.