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Risk Data Pipeline

Risk Data Pipeline

Confidentialkolkata, west bengal, in
16 hours ago
Job description

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

  • Strong 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.

    • Preferred / Nice-to-Have Skills

  • 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.

    • Education

  • 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 .

    • Why Join Us

  • 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.
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    Data Pipeline • kolkata, west bengal, in