Risk Data Pipeline

About the Role

We are seeking a highly skilled Risk Data Pipeline Engineer to design, build, and maintain scalable data pipelines supporting risk management, market data, and trading analytics . The ideal candidate will have strong programming expertise, hands-on experience with data engineering workflows, and a deep understanding of financial instruments and risk concepts.

You’ll work closely with Risk, Quant, and Technology teams to ensure accurate, real-time data flow for risk computations, exposure monitoring, and regulatory reporting.

Key Responsibilities

• Design, develop, and maintain end-to-end data pipelines for risk and P&L systems.
• Integrate and transform data from multiple sources — trading systems, market data feeds, position data, reference data , etc.
• Ensure data quality, consistency, and timeliness across all risk data layers.
• Collaborate with Risk, Quant, and DevOps teams to support risk calculations and analytics.
• Build automated validation, monitoring, and alerting systems for critical data flows.
• Optimize ETL workflows and improve data processing efficiency and scalability .
• Contribute to the design and implementation of data models and schemas for risk systems.
• Troubleshoot data and performance issues in production environments.

Required Skills & Experience

Preferred / Nice-to-Have Skills

Education

Why Join Us