Join our Trading Technology team in Amsterdam, where you’ll build real-time data systems that directly support Optiver’s trading strategies and market insights. As a\ Quant Developer, you’ll focus on creating scalable, high-performance platforms for real-time analytics, enabling traders to make precise, data-driven decisions across various products. At Optiver, technology drives our approach to market-making—whether optimizing for low latency response times or processing massive data volumes with efficiency, even in extreme market conditions. This role offers the chance to tackle complex technical challenges in a dynamic environment, collaborating closely with traders and researchers to advance smarter, more effective trading practices that keep Optiver at the forefront of the industry.
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 the safeguarding of 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 Do:
You’ll be focused on addressing complex challenges in real-time data analytics in high throughput data environments for trading. As a Senior Software Engineer in the Trading Technology team, you’ll develop and optimize scalable systems for data processing and analytics that handle vast volumes of market data. Your work will ensure low-latency data pipelines, high-throughput compute, and robust algorithms—essential for reliability and speed in our trading decision making
Key Responsibilities:
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Develop scalable, reliable data systems that support real-time analytics for trading and large-scale historical analysis
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Partner closely with traders and researchers to deliver actionable insights and meet dynamic data needs across ingestion, storage, and real-time processing
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Drive the development of our data lake and analytics frameworks, enabling immediate access to live and historical data
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Build real-time analytics capabilities to support rapid decision-making in trading operations
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Engineer for resilience and reliability, implementing automated recovery processes and safeguards for high-demand periods
Projects You Might Work On:
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Enhancing research frameworks to enable quick deployment of trading applications and strategy optimizations
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Expanding real-time analytics for high-frequency trading and predictive market insights
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Integrating machine learning models within data pipelines to improve predictive accuracy
Who You Are:
You’re a highly skilled engineer passionate about building sophisticated systems that drive data-driven trading decisions:
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5+ years of experience in high-performance data systems and infrastructure
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Proficiency in C++ or Python, with a commitment to clean, maintainable code
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Strong understanding of operational excellence in areas like networking, database performance, and system resilience
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Experience with real-time analytics platforms
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Familiarity with big data tools and frameworks, such as Pandas, Polars, PyArrow, Kafka, PostgreSQL, and DeltaTable
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Background in trading or financial markets is a plus, but not required
WHAT YOU'LL GET:
- The chance to work alongside best-in-class professionals from over 40 different countries.
- Our performance based bonus structure is unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool fostering a truly collaborative environment to work in.
Alongside this you will get great secondary benefits such as 25 paid vacation days, fully paid first-class commuting expenses, training opportunities, discounts on health insurance, breakfast and lunch facilities, sports and leisure activities, Friday afternoon drinks and even weekly in-house chair massages.
Being highly international, we are accustomed to guiding expats through their relocation, offering competitive relocation packages and providing visa sponsorship where necessary.
HOW TO APPLY:
Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form .
Please note:
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We do not require any assistance from third-parties including agencies in the recruitment of this role
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We cannot accept applications via email’
DIVERSITY STATEMENT:
Optiver is committed to diversity and inclusion .