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Design and build scalable ELT pipelines and curated data models on a Databricks Lakehouse. Partner with business teams to create reliable data products, implement governance and quality checks, and enable BI and self-service analytics while contributing to platform best practices.

Five-day, all-expenses-paid in-person program in Amsterdam for students/graduates to work on hands-on engineering projects, system design workshops, coding sessions and AI-amplified development. Mentorship provided; top performers may be considered for direct Graduate Software Engineer offers. Travel and hotel covered.

The Recruitment Operations Lead will drive improvements in recruitment processes and technology, support hiring strategies, and enhance the candidate experience across the recruitment lifecycle.

Design and deliver technical interview assessments and training programs for interns, graduates, and experienced hires. Collaborate with engineering and recruiting teams to align hiring with on-the-job performance, integrate new software and AI practices into curricula, analyze outcomes to improve assessments, and grow the Education function to raise engineering quality firm-wide.

Lead and mentor a strategy technology team to design, implement, test and deploy quantitative trading systems (including C++ auto-traders) for Indian and APAC exchanges. Partner with traders and researchers, own technical architecture and delivery, drive engineering best practices, monitoring, and cross‑office collaboration to expand Optiver's systematic trading capability.

Provide end-user IT support and lifecycle management for employees, troubleshoot desktops/laptops/mobile devices and printers, maintain collaboration tools, implement proactive monitoring and self-service, support security/compliance activities, contribute to IT projects and office hardware/setup, and recommend enterprise user-facing solutions.

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.

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.