Summary
Senior Quant Engineer responsible for building and supporting production grade quantitative analytics and data platforms used in trading risk and valuation. The role combines Python engineering enterprise data platforms (SQL Oracle Snowflake) and market data expertise in a front office or risk environment.
Key Responsibilities
- Develop and maintain Python based quantitative libraries and services for pricing risk and analytics
- Engineer scalable data pipelines using SQL Oracle and Snowflake
- Integrate and manage market data (real time and EOD) across asset classes
- Partner with quants traders risk and technology teams to deliver production solutions
- Ensure performance data quality controls and production stability
Core Skills
- Python (quantitative & production engineering)
- SQL (advanced querying and optimization)
- Oracle & Snowflake (enterprise data platforms)
- Market data (prices curves volatilities reference data)
- Financial instruments & markets
Summary Senior Quant Engineer responsible for building and supporting production grade quantitative analytics and data platforms used in trading risk and valuation. The role combines Python engineering enterprise data platforms (SQL Oracle Snowflake) and market data expertise in a front office o...
Summary
Senior Quant Engineer responsible for building and supporting production grade quantitative analytics and data platforms used in trading risk and valuation. The role combines Python engineering enterprise data platforms (SQL Oracle Snowflake) and market data expertise in a front office or risk environment.
Key Responsibilities
- Develop and maintain Python based quantitative libraries and services for pricing risk and analytics
- Engineer scalable data pipelines using SQL Oracle and Snowflake
- Integrate and manage market data (real time and EOD) across asset classes
- Partner with quants traders risk and technology teams to deliver production solutions
- Ensure performance data quality controls and production stability
Core Skills
- Python (quantitative & production engineering)
- SQL (advanced querying and optimization)
- Oracle & Snowflake (enterprise data platforms)
- Market data (prices curves volatilities reference data)
- Financial instruments & markets
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