Jobs at Optiver

Designs, tests, debugs, brings up, and manufactures custom high-speed, high-density hardware, primarily PCBs. Responsibilities include schematic capture, PCB layout, signal and power integrity simulation, initial hardware bring-up code, interface validation, test planning, requirements development, performance research, vendor management, and ownership from concept through production. Collaborates with trading, research, software, mechanical, and infrastructure engineering teams.

Designs, develops, deploys, and maintains globally distributed trading-platform services. Builds low-latency automated trading systems that run machine-learning models on high-performance servers, sets architectural direction, optimizes trading infrastructure and strategies, and collaborates with engineers, traders, and researchers.

Own and maintain Coupa and Rossum platforms, provide L1/L2 finance systems support, triage tickets, manage incidents and SLAs, automate repetitive work with AI tooling, create runbooks and KB articles, coordinate changes across finance systems, support enhancements and mentor colleagues to keep platforms stable, scalable, and well-configured for global finance stakeholders.

Design, build, and operate production-grade AI systems (LLM applications, agent platforms, evaluation frameworks) using Python and modern AI frameworks. Translate ambiguous business problems into scalable, reliable AI solutions, define success metrics and evaluation pipelines, integrate with internal systems and third-party services, and continuously monitor and improve performance, reliability, cost, and safety in production.

Lead the strategy, architecture, resilience, performance, automation, and operational evolution of Optiver’s global low-latency network across data centers, WAN, and colocation environments. Build and develop a specialized network engineering team, partner with trading and technology leaders, drive major infrastructure initiatives, manage capacity and connectivity, improve observability and incident response, and establish engineering standards across global infrastructure.

Design and deliver governed, scalable data products and a unified semantic layer across Finance, People, Procurement, and Compliance using Databricks, dbt, SQL, and PySpark. Implement end-to-end governance (Unity Catalog, column-level security, lineage, PII handling), drive DataHub metadata adoption, and set engineering standards for CI/CD, testing, observability, and data quality. Translate senior-stakeholder requirements into production-grade solutions used for reporting, analytics, and AI.

Lead and operationally manage Optiver's global mobility function, overseeing case portfolio, distributed mobility teams, vendor relationships, compliance with immigration/tax/employment rules, SLA/KPI improvements, process automation, and continuous improvement to deliver consistent, high-quality mobility services worldwide.

The Marketing Manager will lead initiatives for US priority audiences, develop tailored marketing plans, and manage content and social media activations.

Design and deliver governed, production-grade data products and a unified semantic layer across Finance, People, Procurement, and Compliance. Build scalable pipelines, models, and governance (Unity Catalog, DataHub, Delta) using Databricks, dbt, SQL, and PySpark. Drive data quality, lineage, access control, and enable analytics and AI consumers.

The Senior Sourcing Lead will drive hardware sourcing initiatives, manage supplier relations and risks, and mentor the procurement team globally.

Build and maintain trading automation, data pipelines, and analytics to support market making; own reliability and incident response; partner with traders, researchers, and engineers to reduce manual work and scale improvements.

Provides proactive, high-touch support to three senior global leaders through complex calendar management, communications, meeting coordination, travel logistics, and confidential information handling. The role requires anticipating executive needs, resolving conflicts, triaging requests, translating decisions into action, and supporting leadership forums and international travel. It also serves as a visible culture carrier for the Austin office by strengthening relationships, community, and the employee experience.

The Network Engineer will design and manage enterprise and trading networks, optimize infrastructure for performance, and support deployments across data centers.

Join Optiver as a Graduate Quantitative Researcher to analyze large-scale market and order-flow data, develop predictive and stochastic models, apply machine learning and deep learning techniques, and translate research into live trading solutions.

Lead global AI education and enablement programs across trading, technology, and operations: design curricula and one-off training, build train-the-trainer networks, partner with vendors, define metrics to measure impact, convert learning into product input for the internal AI platform, and manage executive stakeholders to drive AI adoption.

Work with researchers, engineers, and traders to analyze large market datasets, develop predictive and stochastic models, apply machine learning and deep learning techniques, and build AI-enabled research workflows to identify trading opportunities and improve pricing, forecasting, and risk management.

Design, operate, and own Optiver's global Microsoft 365 platform across collaboration, messaging, identity, and device access. Lead architecture, simplify hybrid complexity, implement observability and self-healing automation, run BAU operations, and deliver global rollouts and governance.

As an Equity Analyst, you will work with traders to evaluate market opportunities, perform analyses on events, and mentor junior analysts, leveraging your sector knowledge and fundamental analysis skills.

As an FPGA Engineer, you'll design, code, and verify FPGA/ASIC solutions for trading systems while collaborating with software engineers and traders to enhance market stability.

Conduct applied quantitative research on market and order-flow data: develop and validate predictive, statistical, and stochastic models using machine learning and deep learning, test hypotheses, and deploy ideas into live trading environments to identify trading opportunities and manage risk.