Senior Data Architect with Core Risk Management

• Architect & Design: Design, build, and maintain the end-to-end data architecture for the Risk Management Back Office, leveraging AWS and Snowflake to support critical functions of Risk : Market Data, Derivatives Platform, Market Risk, Derivatives Risk, Data For Risk engines, Market Risk calculations, Market Data Handling, Fixed income, Equities, Valuations, Yield Curve Analysis
• Data Modeling & Pipelines: Develop conceptual, logical, and physical data models for risk data domains. Lead the development of complex, high-performance data ingestion and transformation pipelines using Python (including Snowpark) and AWS data services (e.g., Glue, Lambda, Kinesis).

Required Qualifications & Skills

• 15+ years of experience in data architecture, data engineering, or a similar role, with a proven track record of designing and delivering large-scale data solutions.
• Excellent domain knowledge in Market Risk and Front-office Risk Domains
• Experience in developing Market Risk Analytics Platforms
• Extensive, hands-on experience with Snowflake, including performance tuning, security best practices, and cost management.
• Expert-level knowledge of the AWS ecosystem, including S3, EC2, Lambda, Glue, IAM, and networking fundamentals.
• Advanced programming proficiency in Python for data manipulation, pipeline development, and automation.
• Demonstrable experience architecting and delivering data solutions for BI and analytics, with direct experience using tools like Sigma and/or Power BI.
• Crucially, extensive experience and deep domain knowledge of financial services back-office operations, specifically within Risk Management (e.g., trade lifecycle, settlement risk, counterparty data, collateral).
• Expert-level understanding of data architecture patterns (e.g., Data Warehousing, Data Lake, Data Mesh), data modeling, and data governance principles.