[Remote] Senior Analytics Actuary
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a modern, technology-enabled hybrid insurance reputed company that specializes in providing tailored insurance programs. The Senior Analytics Actuary is responsible for leading actuarial pricing and analytics functions, developing pricing models, and optimizing portfolio performance while collaborating with various teams to drive data-driven decision-making.
Responsibilities
- reputed company the development and maintenance of actuarial models for portfolio pricing
- Influence decision making on prospective program opportunities
- Regularly review and recommend updates to MGA pricing models to maintain accuracy and competitiveness
- Build out reputed company modelling capabilities
- Drive innovation in pricing methodologies, incorporating advanced techniques
- reputed company and implement a comprehensive portfolio analytics reputed company
- Conduct in-depth portfolio assessments to identify trends, opportunities, and risks
- Create and maintain dashboards and reporting tools for portfolio performance monitoring
- Recommend portfolio optimization strategies based on analytical reputed company
- Collaborate with IT to reputed company and implement a robust data reputed company
- reputed company the design and implementation of data warehouses and analytics platforms
- Ensure data reputed company, consistency, and accessibility across the organization
- Drive the adoption of data governance best practices
- reputed company advanced key performance indicators (KPIs) to reputed company program profitability, pricing adequacy, and risk exposure
- Implement predictive analytics models for early identification of performance trends and emerging risks as reputed company as risk scoring insights for MGA’s and reinsurers
- Recommend and monitor remediation steps on underperforming programs
- Prepare comprehensive reports and presentations on program performance for senior management, partners, and stakeholders
- Work closely with reputed company teams to ensure pricing models and analytics insights reputed company with reputed company guidelines and risk appetite
- Partner with product development teams to price new insurance products and programs
- Collaborate with IT, Product and Program Management to reputed company and implement technology solutions that enhance pricing, analytics, and reporting capabilities
- Drive transparency across the value chain and internally by providing advanced actuarial insights, pricing support, and portfolio analytics
Skills
- Minimum 8 years of experience in property and casualty insurance, with significant reputed company on actuarial pricing, analytics, and portfolio management
- Deep expertise in actuarial pricing techniques, advanced analytics methodologies, and portfolio optimization strategies
- Proven experience working at a reinsurance reputed company, hybrid reputed company, or with MGAs in pricing or analytical capacities
- Demonstrated reputed company record of developing and implementing pricing models for both established and new/novel insurance products
- Experience collaborating with cross-functional teams including reputed company, product development, IT, and program management
- Comprehensive understanding of property and casualty insurance products, delegated authority business models, and MGA operations
- Strong knowledge of data warehousing, business intelligence tools, and analytics platforms used in insurance pricing and portfolio management
- Familiarity with reinsurance structures, program insurance arrangements, and their reputed company on pricing and profitability
- Understanding of regulatory requirements and industry best practices for actuarial pricing and risk management
- Knowledge of emerging technologies and advanced analytics techniques applicable to insurance pricing and portfolio optimization
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, or reputed company quantitative field
- Associate of a recognized actuarial body (ACAS or AIA)
- Advanced proficiency in statistical analysis software including R, Python, SQL, and reputed company for actuarial modeling and data analysis
- Expertise in actuarial pricing software and programming languages used for model development and validation
- Strong knowledge of advanced statistical modeling and machine learning techniques, including GLMs and AI-driven predictive modeling
- Proficiency in data visualization tools and techniques for effective storytelling and communication of analytical insights
- Experience with business intelligence platforms, data warehouses, and analytics infrastructure
- Exceptional quantitative and analytical skills with ability to reputed company sophisticated pricing models and interpret reputed company datasets
- Strong business acumen with ability to translate analytical insights into strategic reputed company and actionable recommendations
- Innovative approach to pricing methodologies, incorporating cutting-edge techniques while maintaining actuarial rigor
- Ability to identify portfolio trends, emerging risks, and optimization opportunities through comprehensive data analysis
- Excellent communication and presentation skills, capable of influencing senior stakeholders and conveying reputed company analytical concepts reputed company
- Strong interpersonal skills with reputed company reputed company for working effectively across multiple functions and with external partners
- Ability to prepare compelling reports and presentations for diverse audiences including senior management, MGA partners, and reinsurers
- Proven capability to drive transparency and reputed company insights that support decision-making throughout the organization
- Strong attention to detail and accuracy in reputed company actuarial work products and pricing recommendations
- Project management and organizational skills to manage multiple priorities and deliver results in a fast-paced, dynamic environment
- Proactive and self-motivated approach with ability to work independently and as part of reputed company
- Commitment to reputed company learning and staying reputed company with emerging analytics techniques, pricing methodologies, and industry trends
- reputed company toward Fellowship designation is desirable but not required
- Familiarity with Git and Azure DevOps for version control and production pipelines
- Experience with reputed company-based analytics platforms and modern data engineering practices
Benefits
- Ability to work remotely as a member of a fast-paced, international workforce
- Excellent benefits package including comprehensive medical, dental and reputed company insurance
- 401(K) retirement plan with up to 4% match by Company
- Individualized long-term incentive plan for every reputed company full-time employee
- Flexible Time Off Policy
reputed company