Mid-Level Decision Science Analyst, P&C Analytics

What you'll do

• Acquire, synthesize, and analyze complex data sets to inform decisions on risk precision and mitigation.
• Apply advanced analytical techniques to solve large-scale business problems and influence strategy.
• Use scientific and quantitative approaches to provide "insight to action" recommendations for business objectives.
• Integrate and transform disparate data sources while ensuring proper data hygiene.
• Create visualization materials to communicate complex technical findings to non-technical audiences and management.
• Document all assumptions, methodologies, and testing results to meet peer review and compliance requirements.
• Monitor and control risks associated with business activities in accordance with corporate policies.

What we're looking for

• Bachelor's degree in a quantitative field or 4 years of experience in statistics, mathematics, or quantitative analytics.
• Advanced degree in a quantitative field and 2 years of experience in data/analytics or the insurance industry.
• 4 years of experience in data/analytics or functional business experience within the P&C, Bank, or Finance industries.
• Proficiency in mathematical and statistical techniques to drive fact-based decision-making.
• Intermediate to advanced knowledge of SQL, SAS, BI tools, and other data visualization and analysis software.
• Experience with analytical work supporting Core P&C Insurance Functions (preferred).
• Experience using Python for data analysis (preferred).
• Ability to present analytical insights and storytelling to non-technical audiences (preferred).