At Enact, the business problem is to help lenders put more people in homes and keep them there by utilizing deep expertise, insightful offerings, and extra mile service.
Requirements
- Experience in applying machine learning algorithms to data
- Previous coding experience in Python, R, SAS or a related language
- Knowledge on cloud data services such as Snowflake, AWS.
- Experience with Structured Query Language
- Proficient in Excel, Word, and PowerPoint
- Exposure to insurance, banking, or financial services industries
Responsibilities
- 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
- Use large datasets to develop and perform exploratory data analysis and build models using structured and unstructured data to guide business decisions.
- Communicate the models and methods in a logical and understandable manner for non-analytical business users and model governance teams
Other
- Undergraduate junior or First year graduate student in a quantitative research field
- Minimum GPA of 3.2 on a 4.0 scale
- Ability to communicate complex ideas to a variety of audiences
- Desire to analyze and interpret data in the insurance, banking, or financial services industries
- Preference for candidates pursuing degrees in Statistics, Mathematics, Operations Research, Computer Science, Economics, and Finance
