Quantitative Risk Analytics Strategist
Core
Designing, implementing, and maintaining reporting solutions and data workflows to support Trading Risk Management with accurate, timely metrics.
Role type
Senior IC quantitative risk data engineer
Builds
Internal reports, analytics dashboards, and scalable data ingestion/transformation pipelines
Domain
Financial services / Quantitative risk management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, C++ or Java, KDB+/Q, data ingestion, data transformation, query optimization, schema design, data validation, system troubleshooting
Preferred skills
KDB+/Q proficiency, strong math foundations
Technologies
KDB+/Q, Python, C++, Java
Responsibilities
Write, test, and maintain KDB+/Q code for data ingestion, transformation and querying; Design checks, validation rules and monitoring tools for dataset accuracy; Build components that power internal reports and analytics dashboards; Optimize queries, schemas and processes to improve retrieval speed and system performance; Work with data analysts, risk managers and other engineers to translate reporting needs into robust workflows; Contribute to daily operations, troubleshoot issues, and support ongoing improvements to data systems
Seniority
Senior, hands-on IC