Data Scientist
USD 106K-180K Entry-level Full Time
Tasks
- Build financial models for prediction
- Build statistical models for prediction
- Compute NPV for credit decisions
- Design valuation framework
- Drive credit risk classification
- Drive credit risk clustering
- Enhance underwriting
- Identify emerging risks
- Improve data processing
- Mine datasets for risk problems
- Optimize credit portfolio performance
- Present business updates to senior management
- Propose risk mitigation strategies
- Select data sources
- Track KPIs for credit program health
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Amplitude | B testing | Classification | Cloud Computing | Clustering | Credit Risk | Credit Risk Management | Credit bureau | Credit bureau analytics | Data Visualization | Database Management | Dimensionality Reduction | Experimental Design | Feature Selection | Google BigQuery | Hadoop | Hive | Loss analytics | Machine Learning | Model Validation | NumPy | Pandas | Predictive Analytics | Profit And Loss Analytics | Profit and Loss | Python | Regression | Risk Management | SQL | Scikit-learn | Segmentation | Statistical Analysis | Tableau | Teradata
Education
Roles
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