Senior Data Engineer - Algo Capital Group : Job Details

Senior Data Engineer - Risk Technology

New York, NY

About our client:

A premier $60bn quantitative hedge fund at the forefront of machine learning and financial technology innovation is expanding their risk division. They are seeking exceptional engineers to work with their proprietary trading systems and contribute to their market-leading position in global markets.

About the position:

Join a thriving team developing real-time applications for a sophisticated trading desk in New York. You will leverage state-of-the-art technology to implement advanced trading strategies through high-precision software solutions, processing market data to facilitate quick decision-making in one of finance's most dynamic environments.

Key Responsibilities:

• Design and develop applications and data pipelines for real-time processing
• Coordinate with the risk team to enhance existing infrastructure while maintaining engineering best practices
• Transform risk systems through innovative real-time solutions aligned with trading objectives
• Collaborate across trading, quant, and technology teams while building key stakeholder relationships
• Maintain system reliability through comprehensive monitoring, logging, and scalability initiatives

Technical Requirements:

• Strong Python programming skills with solid SQL expertise
• Knowledge of distributed messaging systems (Kafka, Kinesis)
• Experience with building sophisticated ETL pipelines and data lake architectures
• Proficiency with cloud-native technologies and containerization (Kubernetes, Docker, Helm)
• Experience with real-time stream processing frameworks and event-driven architectures
• Background in workflow orchestration platforms and scheduling systems
• Technical leadership and collaborative approach

This role is an exciting opportunity to join an industry leader offering exceptional compensation, accelerated career growth, and the chance to innovate alongside the brightest minds in quantitative trading.

Apply directly or email: [email protected]

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