Senior Market Data Engineer [Remote]

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role
: 

• Design and build real-time market data processing systems covering global markets and multiple asset classes
• Architect and implement high-performance software solutions for processing market data feeds at scale
• Drive technical innovation by leveraging emerging technologies to enhance system telemetry, monitoring, and operational efficiency
• Provide technical leadership and escalation support for production market data systems
• Analyze system performance and design data-driven approaches to optimize market data processing workflows
• Lead the design of data governance systems for tracking availability, access patterns, and usage metrics

What You Will Bring:

• Degree in a quantitative or technical discipline from top university and strong academic scores
• Expert-level C++ proficiency with demonstrated experience in other object-oriented languages (Java, C#)
• Experience with scripting languages such as Perl, Python, and shell scripting for automation and data processing
• Deep experience with tick-by-tick market data processing, including data normalization, feed handling, and real-time analytic
• Excellent communication skills with ability to collaborate effectively across technical and business teams
• Have experience working under Linux environment

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