Quant Research Infrastructure Engineer

Optiver; Amsterdam; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Performance bonus

Relocation package

Visa sponsorship

Vacation days 25+

Commuting expenses paid

Office perks

Job summary

Optiver in Amsterdam is seeking a software engineer to build the Quantitative Research framework at the core of our systematic equities business. You will model trading ideas against historical data and push them from research into production, impacting what the desk can research, deploy and trade.

You’ll collaborate with researchers and traders to develop tools, datasets and scalable systems across US, Europe and APAC, enabling large‑scale experiments and faster production of strategies.

Qualifications

• Strong Python development skills.
• Experience building simulation/backtesting or large-scale computational frameworks.
• Familiarity with distributed or real-time systems and research data workflows.
• Interest in quantitative finance or systematic trading.

Responsibilities

• Developing and extending the simulation framework for cash equities strategies.
• Building distributed systems for backtesting and model training across cloud and on‑premise compute.
• Curating high-quality research datasets from live and historical data.
• Translating researcher requirements into production-ready software.
• Improving tooling and workflows for rapid experimentation and deployment.
• Applying modern AI tools to the research and software lifecycle.

Skills

Python development

Distributed systems

Backtesting frameworks

Quantitative finance

Research collaboration

Tools

C++

Spark

Airflow

Polars

Job description

Optiver in Amsterdam is seeking a software engineer to build the Quantitative Research framework at the core of our systematic equities business. You will model trading ideas against historical data and push them from research into production, impacting what the desk can research, deploy and trade.

You’ll collaborate with researchers and traders to develop tools, datasets and scalable systems across US, Europe and APAC, enabling large‑scale experiments and faster production of strategies.