Enact is looking to utilize advanced analytical capabilities to assist with customer trends for their commercial organization and develop a breadth of knowledge about the finance and insurance industry
Requirements
- Hands-on experience leveraging visualization software such as Tableau or Sigma Computing
- Proficient in Excel, some experience with Snowflake and/or SQL
- Hands-on experience developing solutions using Python (Pandas, Scikit-learn), Spark, database query and management tools (SQL), in a cloud platform like Snowflake
- Hands-on experience with multiple Machine Learning models, time series forecasting, optimization, and other predictive modeling techniques. ML experience and knowledge of ML platforms, libraries, and programming
Responsibilities
- Collaborate with partners in Sales, Marketing, Pricing, Risk, Customer Solutions, Underwriting, and other functions to define business questions, prepare data, build predictive and prescriptive models, and communicate its insights and recommended actions
- Design, create and implement advanced analytics and forecasting models to optimize business processes; provide insights for decision making using Machine Learning and traditional statistical modeling
- Using large datasets, develop and perform exploratory data analysis and build advanced machine learning models using structured and unstructured data
- Communicate the ML models and methods in a logical and understandable manner for non-analytical business users and model governance teams
Other
- Student in a quantitative research field such as: Statistics, Econometrics, Computer Science, Demography / Actuarial Science, Mathematics, Data Science, Quantitative Social Sciences, Epidemiology, Engineering, etc
- Strong analytical and critical thinking skills, willing to ask questions, but also work independently
- Strong communication (oral, written, interpersonal, and presentation) skills
- Ability to work in a hybrid schedule at Enact Headquarters, Raleigh, NC
