Risk Data Pipeline
ConfidentialBengaluru, Karnataka, India1 day ago
Job descriptionStrong programming skills in Python and SQL (experience with Pandas , PySpark , or Airflow is a plus). Hands-on experience with data pipeline tools (e.g., Airflow , Luigi , Kafka , AWS Glue , or similar). Strong understanding of database systems — relational (PostgreSQL, MySQL, Oracle) and / or NoSQL (MongoDB, Redis). Exposure to risk management concepts — VaR, exposure, sensitivities, stress testing, etc. Familiarity with financial data types — trades, positions, reference data, pricing data, and market feeds. Experience working in Unix / Linux environments with scripting knowledge (Shell, Bash). Strong analytical and problem-solving skills, attention to detail, and ownership mindset. Knowledge of cloud platforms (AWS, GCP, or Azure) and data lake / data warehouse architectures. Familiarity with quant / risk systems or risk engines (Murex, Calypso, proprietary risk systems). Understanding of fixed income, derivatives, and equities . Experience in distributed data processing (Spark, Hadoop). Prior experience in hedge funds, investment banks, or fintech firms preferred. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related discipline . Strong academic background with exposure to data structures, algorithms, and statistics . Work with global Risk, Quant, and Technology teams on mission-critical systems. Be part of a high-performance engineering culture driving real-time financial insights. Opportunity to shape and optimize data-driven risk infrastructure in a dynamic financial environment.
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
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Data Pipeline • Bengaluru, Karnataka, India
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