Job Description
We are seeking a visionary Senior Insurance Data Analyst to join our elite risk management team in New York City. In this pivotal role, you will bridge the gap between complex data science and practical underwriting strategies, leveraging predictive modeling to minimize risk and maximize profitability. You will work closely with actuaries, underwriters, and IT specialists to drive data-driven decision-making across our property and casualty portfolio.
At Apex Underwriting Solutions, we value innovation and precision. As a key member of our team, you will have the opportunity to shape the future of our underwriting processes using cutting-edge AI and machine learning technologies. If you have a passion for insurance analytics and a knack for translating raw data into actionable business insights, we want to hear from you.
Responsibilities
- Design, develop, and maintain advanced predictive models to assess risk and support underwriting decisions.
- Analyze large datasets to identify trends, anomalies, and opportunities for portfolio optimization.
- Collaborate with underwriting leadership to define data requirements and implement automated scoring models.
- Translate complex statistical findings into clear, actionable reports for executive stakeholders.
- Ensure data integrity and compliance with industry regulations, including NAIC and state-specific requirements.
- Oversee the integration of new data sources, such as telematics and alternative data, into existing risk models.
- Mentor junior analysts and contribute to the continuous improvement of the data analytics team's methodologies.
Qualifications
- Master’s degree in Mathematics, Statistics, Computer Science, Actuarial Science, or a related field (or equivalent experience).
- 5+ years of professional experience in data analytics, preferably within the insurance or financial services sector.
- Proficiency in programming languages such as Python, R, or SQL, with experience in data visualization tools like Tableau or PowerBI.
- Strong understanding of insurance principles, risk assessment, and underwriting cycles.
- Excellent problem-solving skills with the ability to work independently in a fast-paced environment.
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Strong communication skills, with the ability to present technical concepts to non-technical audiences.