Manager- Sanctions Screening & Optimization
BCIT Bengaluru Office (MGS), India
INR 850K-1250K (estimate) Mid-level Full Time
Tasks
- Build models for tuning calibration segmentation and optimization
- Coordinate with intelligence and analytics teams for global model implementation
- Create and execute test cases and scripts for releases
- Create statistical samples for ATL BTL testing
- Develop business rules to reduce hit rates
- Develop data mining methodologies
- Develop experimental designs sampling techniques and analytical methods
- Develop sanctions screening life cycle policies and procedures
- Manage sanctions screening tuning and optimization
- Perform data analysis for requirements and specifications
- Perform model validation and document assumptions
- Perform periodic risk assessment on algorithms and rules
- Plan design develop and implement sanctions screening code and configuration
- Process large datasets for statistical modeling
- Produce sanctions screening reporting for senior management
Perks/Benefits
- N/A
Skills/Tech-stack
ATL BTL Testing | Bayesian Networks | Data Analysis | Data Mining | Data Visualization | Decision Trees | Fuzzy Matching | Fuzzy logic | Logistic Regression | MATLAB | Machine Learning | Model Risk Management | Model Validation | Model risk | Name similarity matching | Neural Networks | Python | R | Random Forest | Risk Management | SAS | SQL | Sampling | Similarity Matching | Statistical Testing | Statistical modeling | Supervised machine learning | Unsupervised machine learning | VBA | XGBoost
Education
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