Quantitative Developer

Requirements:

• 5+ years of experience in high-performance data systems and infrastructure
• Proficiency in C++ or Python, with a commitment to clean, maintainable code
• Strong understanding of operational excellence in areas like networking, database performance, and system resilience
• Experience with real-time analytics platforms
• Familiarity with big data tools and frameworks, such as Pandas, Polars, PyArrow, Kafka, PostgreSQL, and DeltaTable
• Background in trading or financial markets is a plus, but not required

What You'll Be Doing:

• Develop scalable, reliable data systems that support real-time analytics for trading and large-scale historical analysis
• Partner closely with traders and researchers to deliver actionable insights and meet dynamic data needs across ingestion, storage, and real-time processing
• Drive the development of our data lake and analytics frameworks, enabling immediate access to live and historical data
• Build real-time analytics capabilities to support rapid decision-making in trading operations
• Engineer for resilience and reliability, implementing automated recovery processes and safeguards for high-demand periods

Projects You Might Work On:

• Enhancing research frameworks to enable quick deployment of trading applications and strategy optimizations
• Expanding real-time analytics for high-frequency trading and predictive market insights
• Integrating machine learning models within data pipelines to improve predictive accuracy

Perks and Benefits:

• The chance to work alongside best-in-class professionals from over 40 different countries
• Performance-based bonus structure
• 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
• Weekly in-house chair massages