Job Responsibilities:
Focuses on building and optimizing time-series data pipelines for Global Markets. Specializes in KDB and q language to support high-frequency trading tick data storage backtesting and risk analytics. Ensures low-latency scalable ingestion and querying of billions of time-series records per day.
Key Responsibilities
- Design tick data schemas with partitioning and compression strategies.
- Develop and optimize q queries for traders quants and risk teams.
- Support tick replay systems for back testing and regulatory compliance.
.
Required Skills
- Strong expertise in KDB and q language.
- Understanding of high-frequency trading systems and time-series analytics.
Skills in schema design partitioning compression and performance tuning
Job Responsibilities: Focuses on building and optimizing time-series data pipelines for Global Markets. Specializes in KDB and q language to support high-frequency trading tick data storage backtesting and risk analytics. Ensures low-latency scalable ingestion and querying of billions of time-ser...
Job Responsibilities:
Focuses on building and optimizing time-series data pipelines for Global Markets. Specializes in KDB and q language to support high-frequency trading tick data storage backtesting and risk analytics. Ensures low-latency scalable ingestion and querying of billions of time-series records per day.
Key Responsibilities
- Design tick data schemas with partitioning and compression strategies.
- Develop and optimize q queries for traders quants and risk teams.
- Support tick replay systems for back testing and regulatory compliance.
.
Required Skills
- Strong expertise in KDB and q language.
- Understanding of high-frequency trading systems and time-series analytics.
Skills in schema design partitioning compression and performance tuning
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