Head of Quant & Data Science
Tasks
- Align reference data and metadata
- Build retrieval layer for semantic search
- Define data feature infrastructure
- Define graph schema ontology
- Design build validate models
- Document model methodology
- Enable retrieval augmented generation workflows
- Engage with enterprise clients on models and data integration
- Ensure data quality for models
- Implement entity resolution logic
- Lead team of data scientists and quantitative developers
- Monitor model performance
- Own knowledge graph design and delivery
- Perform back-testing and validation
- Set analytic output publishing architecture
- Set hiring and technical review standards
- Set quantitative agenda
- Support technical evaluations and proofs of concept
- Translate technical work into commercial outcomes
Perks/Benefits
- Global parental leave
- Healthcare benefits
- Hybrid work environment
- Learning and development programs
- Retirement planning
- Tuition reimbursement
Skills/Tech-stack
Agentic Workflows | Bond Metrics | CUSIP | Credit Risk | Credit analytics | Cypher | Databricks | Entity Resolution | Feature Store | Fixed Income | Fixed Income analytics | ISIN | Knowledge graph | LEI | Linked Data | Loan metrics | Machine Learning | Model Drift | Ontology | Pricing models | Private Credit Analytics | Private credit | Production Monitoring | Python | Reference Data | Relative Value Analytics | Relative value | Retrieval-Augmented Generation | SEDOL | SPARQL | SQL | Snowflake | Time Series | Value analytics | Vector Databases
Education
N/A
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