Job Description
Join the Future of Risk Management
Apex Insurance Solutions is seeking a Senior Insurance Data Analyst to drive our strategic underwriting initiatives in New York City. We are looking for a visionary professional who can leverage big data to reduce risk, optimize premium pricing, and deliver superior customer experiences.
In this role, you will act as a bridge between complex data sets and actionable business strategies. You will work alongside underwriters and actuaries to develop models that predict risk with precision, ensuring we remain competitive in a rapidly evolving market.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Opportunity to work with cutting-edge technologies in a collaborative environment.
- Career growth opportunities within a top-tier insurance firm.
Responsibilities
- Analyze large-scale datasets to identify trends in claim frequency and severity, providing actionable insights for underwriting adjustments.
- Develop and maintain predictive modeling algorithms using Python and SQL to support automated underwriting decisions.
- Collaborate with cross-functional teams to integrate data findings into the underwriting workflow and improve operational efficiency.
- Ensure data integrity and accuracy by performing rigorous quality control checks on all incoming risk data.
- Present complex data analysis and visualizations to senior leadership to influence strategic business decisions.
- Stay abreast of industry trends and regulatory changes to ensure our models remain compliant and relevant.
- Identify opportunities for process automation to reduce manual underwriting efforts.
Qualifications
- Bachelor’s degree in Statistics, Mathematics, Actuarial Science, Computer Science, or a related quantitative field.
- Minimum of 4-6 years of experience in insurance data analysis, underwriting, or risk assessment.
- Advanced proficiency in SQL, Python (Pandas, NumPy), and R for data manipulation and modeling.
- Strong understanding of actuarial principles and risk assessment methodologies.
- Experience with data visualization tools such as Tableau, PowerBI, or Looker.
- Excellent problem-solving skills, attention to detail, and the ability to communicate complex concepts to non-technical stakeholders.