Senior Predictive Liability Analytics Lead
21650 Oxnard Street, Woodland Hills, CA, United States
USD 190K-210K Senior-level Full Time
Tasks
- Build RAG pipelines
- Build predictive behavior models
- Build training scoring pipelines in Python and SQL
- Calibrate model scenarios to economic drivers
- Co design experiments A B uplift and causal inference
- Collaborate on valuation projection ALM assumptions
- Create dashboards for calibration and monitoring
- Create reproducible versioned results tables
- Design GLM GAM survival hazard models
- Develop deep learning models
- Develop tree ensemble models
- Engineer features from unstructured data
- Monitor drift stability and bias
- Package models with containers
- Perform actual vs expected attribution
- Pilot generative AI for document parsing
- Select features with genetic algorithms
- Serve models via batch and API
- Set retraining schedules and rollback criteria
- Support scenario stress attribution and sensitivity runs
- Track experiments with MLflow and DVC
- Translate model outputs into projection curves
Perks/Benefits
- 401k match
- Dental insurance
- Discretionary bonus eligible
- Employee assistance program
- Health insurance
- Hybrid work policy
- Mental health support
- Paid time off
- Vision insurance
- Volunteer time off
- Wellness initiatives
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | Boosting | CI/CD | CatBoost | Causal Inference | Cohort Generation | Containers | Cox Proportional Hazards | DVC | Data Science | Databricks | Deep learning | Embeddings | GAM | GLM | Genetic Algorithms | Git | LightGBM | MLflow | Machine Learning | NLP | Power BI | Predictive Modeling | Prompt engineering | PyTorch | Python | RAG | SQL | Snowflake | Spark | Survival analysis | Tableau | TensorFlow | Transformers | Uplift Modeling | XGBoost
Education
Regions
Countries
States
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