
Data Scientist II - GBS IND
- Hyderabad, Telangana
- Permanent
- Full-time
- Perform model development proof of concept, research model methodology, explore internal & external data sources, design model development data, and develop preliminary model
- Conduct complex data analytics on modeling data, identify, explain & address data quality issues, apply data exclusions, perform data transformation, and prepare data for model development
- Analyze portfolio definition, define model boundary, analyze model segmentation, develop Financed Emissions models for different asset classes, analyze and benchmark model results
- Work with Financed Emissions Data Team & Climate Risk Tech on the production process of model development & implementation data, including support data sourcing efforts, provide data requirements, perform data acceptance testing, etc.
- Work with Financed Emissions Production & Reporting Team on model implementation, model production run analysis, result analysis & visualization
- Work with ERA Model Implementation team & GCP Tech on model implementation, including opine on implementation design, provide implementation data model & requirements, perform model implementation result testing, etc.
- Work with Model Risk Management (MRM) on model reviews and obtain model approvals
- Work with GEG (Global Environmental Group) and FLU (Front Line Unit) on model requirements gathering & analysis, Climate Risk target setting, disclosure, analysis & reporting
- Advanced knowledge of SQL and Python
- Advanced Excel, VSCode, LaTex, Tableau skills
- Experience in multiple data environment such as Oracle, Hadoop, and Teradata
- Knowledge of data architecture concepts, data models, ETL processes
- Knowledge of climate risk, financial concepts & products
- Experience in extracting, and combining data across from multiple sources, and aggregate data for model development
- Experience in conducting quantitative analysis, performing model driven analytics, and developing models
- Experience in documenting business requirements for data, model, implementation, etc.
- Basics of Finance
- Basics of Climate Risk