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Quantitative Developer - Pricing Data

OptiverAmsterdam, North Holland, NetherlandsPosted 31 Aug 2026

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About this role

Optiver is looking for a Quantitative Developer to join our Pricing Data Group (PDG) in Amsterdam. Pricing Data Group builds and runs the systems that produce the pricing data the trading floor and systematic research desks across the firm depend on, both live and over many years of history. PDG sits at the intersection of pricing automation, quantitative research and data platform engineering. Rather than building infrastructure for others to consume, we build the pricing data products that researchers and traders use directly to develop and deploy new trading strategies.

Researchers across the firm build real alpha-generating work on top of what we ship, extending Optiver's trading reach beyond the high-frequency market making the firm is built on, into systematic and longer-horizon strategies. What you'll do: You'll see the engineering decisions you make - about data shape, replay performance, external coverage - land directly in what kinds of research the firm attempts next; You'll work closely with traders, researchers and platform teams to build and run the pricing data systems the firm trades and prices off - both live and across many years of history; PDG owns the production pipelines that compute and serve our core pricing data.

This includes: Build and optimize live pricing systems that run continuously throughout the trading day Develop replay frameworks that reproduce production pricing calculations over years of historical market data Integrate new external datasets into Optiver's pricing ecosystem to expand research capabilities You'll join a small, multidisciplinary group that ships across the C++/Python boundary daily, with a direct line to the trading and research consumers of your work; Who you are: Strong engineering instincts and a solid grounding in computer-science fundamentals; Productive in either C++ or Python, comfortable working in the other, and able to move fluidly between systems-level code and orchestration / ETL code; Comfortable designing distributed data systems and understanding trade-offs around throughput, schema evolution and historical replay; Experience with data platforms (e.g.

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Delta Lake), cloud infrastructure or large-scale data engineering is a plus; Pragmatic about delivery: able to spot the "good enough" path through a complex domain while keeping a clear-eyed view of where the right long-term investment is; Operational mindset - you reach for monitoring, validation, and data-quality checks instinctively rather than treating them as someone else's problem; A collaborator who can work with traders, researchers, and other engineering teams to turn ambiguous requirements into production systems; Interest in systematic trading, derivatives pricing, or quantitative finance more broadly is a strong plus - but not a hard requirement; we will teach you what you need to know.

Who we are: At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in safeguarding healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

What you'll get: You'll join a culture of collaboration and excellence, where you'll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the

Source listing: greenhouse_optiverus

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