The role involves partnering cross-functionally to defend the company against policy failures and improve underwriting standards using advanced data methodologies
Job Summary
The role involves partnering cross-functionally to defend the company against policy failures and improve underwriting standards using advanced data methodologies.
Candidates will leverage technologies like Python, R, and AWS to reveal insights within huge volumes of data and build custom software tools.
The team invests in future capabilities by developing new skills and tools while learning from past mistakes to avoid repetition.
Matching Summary
The role involves partnering cross-functionally to defend the company against policy failures and improve underwriting standards using advanced data methodologies.
Skills & Requirements
Must-have
Bachelor's degree in quantitative field
2+ years business analysis experience
SQL and Python programming proficiency
Nice-to-have
Master's degree in quantitative field
Experience with large data processes
Strong communication skills for non-specialists
Key Requirements
Bachelor's degree in Business, Math, Economics, Finance, Statistics, Science, or Engineering
At least 2 years of experience in business analysis
Proficiency in econometric and statistical techniques such as regression modeling