Jobs at Optiver

Positions 2,711

Optiver is a global market‑making firm that leverages cutting‑edge technology to provide liquidity in financial markets. Founded in 1986 in Amsterdam, the company operates high‑frequency trading desks in Amsterdam, Chicago, New York, Singapore and Hong Kong, using low‑latency C++ and Python systems to execute trades in milliseconds.

Optiver hires a mix of software engineers, quantitative researchers, data scientists, traders and risk analysts. Candidates can expect a rigorous interview process that tests algorithmic problem solving, system design, and domain knowledge, followed by collaborative coding sessions and real‑world trading simulations.

Job Transparency shows Optiver’s exact salary ranges and employee sentiment, so you can compare offers with benchmarks, gauge the company’s pay culture, and negotiate with confidence. Accessing this data before you apply saves time and clarifies whether a role matches your financial goals.

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Frequently Asked Questions

What’s it like to work at Optiver?
Optiver offers a fast‑paced, data‑driven environment where traders and engineers collaborate on low‑latency systems. Employees enjoy a flat hierarchy, open communication, and a culture that rewards experimentation and continuous learning. Workdays often involve daily stand‑ups, code reviews, and real‑time trading analytics, while the firm emphasizes work‑life balance with flexible hours and a supportive team culture.
What types of positions are available at Optiver?
Optiver’s listings include software engineering, quantitative research, data science, trading, risk management, and operations roles. Engineers focus on high‑performance systems; researchers develop trading strategies; data scientists analyze market data; traders execute strategies; risk analysts monitor exposure. Roles span junior to senior levels across multiple cities.
How can I stand out as an applicant?
Showcase a portfolio of low‑latency or distributed systems projects, provide clear results, and demonstrate algorithmic knowledge. Prepare for technical interviews by practicing coding challenges, system design questions, and trading‑related problem sets. Highlight any experience with C++, Python, or financial modeling, and articulate how you can contribute to liquidity provision and technology innovation.

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