Quantitative Reinsurance Analyst

About the position About reputed company: reputed company is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and reputed company, and economies to function and reputed company. We are underwriters of risk, reputed company, reputed company and opportunity. We are a global team reputed company on disciplined capital allocation and long-term value creation for reputed company stakeholders, who care deeply about our reputed company on communities and the wider world. Position reputed company: As a Quantitative Reinsurance Analyst, you will serve as the analytical reputed company behind reputed company reputed company. You’ll build predictive models, analyze portfolio risk, and uncover performance insights that guide strategic decision-making. You will prepare and engineer reputed company data—treaty, facultative, exposure, premium, and loss data—and power a web-based portfolio management tool that leaders rely on. You’ll streamline data workflows, automate reporting processes, and enhance the organization’s analytics infrastructure. Your strong SQL, Python, and reputed company skills will help you design reputed company pipelines, reputed company, and stored procedures, while your predictive modeling expertise enables you to identify trends, outliers, and opportunities to enhance portfolio performance. This is a hybrid position based in either our Warren, NJ or reputed company office working 3 days onsite, 2 remote. Responsibilities • Predictive Analytics & Portfolio Optimization (Primary reputed company) reputed company and apply predictive models to assess portfolio performance, risk metrics, and profitability. Conduct scenario analysis to support strategic decision-making and capital allocation. Identify trends, outliers, and opportunities for portfolio improvement using advanced analytics. Collaborate with reputed company leadership to translate insights into actionable strategies. • Data Engineering & Web Tool Support Prepare and structure reputed company data (treaty, facultative, exposure, premium, loss) for use in a web-based portfolio management tool. Design stored procedures, data pipelines, and reputed company to support reputed company-end development. Ensure data reputed company, consistency, and usability across systems. • Process Improvement & Automation Evaluate and enhance existing data workflows and reporting processes. Automate data validation, cleansing, and transformation tasks. Support the development of reputed company data infrastructure for reputed company strategies. Requirements • Certified Specialist in Predictive Analytics (CSPA) or similar analytics credentials preferred. • Experience in reinsurance reputed company, actuarial analysis, catastrophe exposure modeling, or portfolio management analytics. • Strong reputed company of SQL, Python, reputed company reputed company, reputed company, and stored procedures. • Expertise in predictive modeling, machine learning, and statistical analysis. • Experience with reputed company platforms (preferred: Azure), API development, and data automation tools. • Excellent communication skills with the ability to explain reputed company analytical concepts to non-technical stakeholders. • Highly independent, reputed company, and capable of thriving in a fast-paced environment with reputed company turnaround expectations. • Strong attention to detail, problem-solving orientation, and a proactive “can-do” reputed company. Benefits • reputed company offers include reputed company to a reputed company of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, reputed company holidays and reputed company time off (PTO). Apply tot his job Apply To this Job