Leverage data to drive insights into risk modeling pricing strategies claims analysis and portfolio optimization in the reinsurance domain.
Requirements
- Programming Languages Python Pandas NumPy Scikitlearn SQL
- Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting
- Data Visualization Power BI Tableau Matplotlib Seaborn
- Big Data Technologies Spark Hadoop basic understanding
- Cloud Platforms Azure or AWS especially for data pipelines and model deployment
- Data Engineering ETL processes data wrangling and feature engineering
- AI/GenAI Research
Responsibilities
- Leverage data to drive insights into risk modeling pricing strategies claims analysis and portfolio optimization
- Programming Languages Python Pandas NumPy Scikitlearn SQL
- Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting
- Data Visualization Power BI Tableau Matplotlib Seaborn
- Big Data Technologies Spark Hadoop basic understanding
- Cloud Platforms Azure or AWS especially for data pipelines and model deployment
- Data Engineering ETL processes data wrangling and feature engineering
Other
- Hybrid
- W2-Contract Only; Kindly note that applications on a C2C basis will not be considered for this role.
- Strong problem solving and critical thinking abilities
- Excellent communication and storytelling skills for nontechnical stakeholders
- Collaborative mindset with crossfunctional teams actuarial underwriting IT
