At Enact, the business problem is to help lenders put more people in homes and keep them there by utilizing data insights to create efficiencies.
Requirements
- Hands-on experience developing solutions using Python (Pandas, Scikit-learn), Spark, database query and management tools (SQL), in a cloud platform
- 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 Operations (Underwriting, Claims, Billing), Marketing, Pricing, Risk, Customer Solutions, 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
- Master’s or PhD 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 communication (oral, written, interpersonal, and presentation) skills
