Data Scientist Expert
Tasks
- Analyze risk management indicators and applied analytics
- Automate validate monitor and implement models
- Build and optimize GenAI and agenticAI solutions
- Coordinate model deployment validation and monitoring with dependencies
- Design and develop risk management analytics projects
- Develop predictive prescriptive and profiling models
- Document technical methodologies and model development processes
- Ensure compliance with internal and external regulations
- Identify analytical trends and recommend team training
- Implement MLOps practices for model lifecycle
- Improve scoring calibration and overindebtedness models
- Investigate new methodologies for scoring and calibration models
- Lead advanced analytics model development
- Oversee implementation of models in production engines
- Research new data sources and analytics techniques
- Support technical audits with documentation
- Validate third-party analytical solutions
Perks/Benefits
- Career growth opportunities
- Digital transformation exposure
- Flexible work model
- Upskilling and reskilling
Skills/Tech-stack
Agentic AI | Big Data | Calibration | Cloud AWS | Credit Scoring | Data Mining | Deep learning | GenAI | IFRS 9 | MLOps | Machine Learning | Model Risk Management | Model risk | Python | Risk Management | SQL | Scoring
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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