Job Description
Join the Future of Insurance in New York City
We are seeking a highly skilled and analytical Senior Insurance Data Analyst to drive strategic decision-making at Apex Risk Solutions. In this pivotal role, you will bridge the gap between complex data science and practical underwriting, transforming raw information into actionable insights that minimize risk and maximize profitability.
As a key member of our analytics team, you will utilize advanced statistical techniques and modern programming tools to optimize our product portfolio. If you are passionate about the intersection of data technology and the insurance industry, we want to hear from you.
Why Join Us?
- Competitive base salary and performance bonuses.
- Comprehensive health, dental, and vision insurance.
- Flexible remote-work hybrid model.
- Professional development and certification reimbursement.
- Access to cutting-edge insurance technology stack.
Responsibilities
- Develop and maintain complex data models to support underwriting and claims processes.
- Perform deep-dive data analysis to identify trends, anomalies, and opportunities for portfolio optimization.
- Collaborate with cross-functional teams, including actuaries, underwriters, and product managers, to translate data findings into business strategies.
- Design and deploy interactive dashboards using tools like Tableau or Power BI for real-time monitoring.
- Ensure data integrity and compliance with industry regulations (e.g., NAIC, state-specific laws).
- Automate reporting workflows to increase operational efficiency.
- Conduct A/B testing on pricing models and product features.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field; Master’s degree preferred.
- 5+ years of experience in data analysis, preferably within the insurance, finance, or risk management sector.
- Advanced proficiency in SQL for data extraction and manipulation.
- Strong programming skills in Python or R.
- Experience with data visualization tools (Tableau, Looker, or Power BI).
- Deep understanding of actuarial principles and risk assessment methodologies.
- Excellent communication skills with the ability to present complex data to non-technical stakeholders.