Risk Analytics Expert

Accountabilities

• Lead product demonstrations and technical presentations, helping sales and customer success teams communicate the value and capabilities of advanced risk analytics solutions.

• Advise prospective clients on regulatory filing requirements and implementation strategies, coordinating with actuarial consultants and maintaining strong working relationships.

• Design and manage pilot projects and proofs of concept from start to finish, including sampling strategies, integration of carrier loss data, model performance analysis, lift assessments, and loss ratio evaluations.

• Present analytical findings and practical recommendations to actuarial, underwriting, and other business leaders, making complex technical concepts accessible to non-technical audiences.

• Develop deep expertise in risk analytics solutions, including their competitive advantages over traditional modeling approaches and alternative market offerings.

• Manage client-facing projects from initial discovery through delivery, coordinating cross-functional teams to ensure accuracy, timeliness, and high-quality outcomes.

• Lead discovery sessions to identify client challenges, understand business requirements, and connect customer use cases to appropriate analytical solutions.

• Share client insights and product feedback with internal product teams to support ongoing innovation and product development.

• Build and refine AI-assisted workflows that accelerate research, analysis, and deliverable creation, developing reusable processes that improve team efficiency.

• Support vendor evaluations and help clients understand how third-party data and analytical models can be incorporated into insurance pricing and underwriting processes.

Requirements:

• Bachelor’s degree in a quantitative discipline, such as actuarial science, statistics, economics, engineering, data science, or a related field.

• At least five years of experience in property and casualty insurance analytics, actuarial functions, underwriting, insurance product management, or a vendor role serving insurance carriers.

• Hands-on experience validating analytical models using techniques such as lift charts, Gini coefficients, and loss ratio relativities, with the ability to explain results and implications to non-technical stakeholders.

• Proficiency in SQL and Python for querying, processing, and analyzing large datasets, with experience using BigQuery or similar platforms.

• Regular use of AI tools such as ChatGPT, Claude, or Copilot to support research, analysis, and writing, combined with sound judgment in validating AI-generated outputs.

• Working knowledge of insurance rate filings, classification plans, and the integration of third-party data into pricing and underwriting processes.

• Strong communication, presentation, and data storytelling skills, with the ability to engage audiences ranging from technical analysts to executive leadership.

• Proven ability to own client deliverables, manage competing priorities, and consistently meet deadlines.

• Preferred qualifications: Experience developing AI agents or automated workflows, familiarity with insurance AI regulations and unfair discrimination testing, and knowledge of catastrophe or climate modeling platforms.

• Additional advantages include geospatial analytics experience with tools such as ArcGIS, QGIS, GeoPandas, or H3; sales engineering or SaaS customer-facing experience; participation in vendor evaluations; and familiarity with business intelligence tools such as Looker, Power BI, or Tableau.

Benefits:

• Competitive compensation and equity incentives, offering the opportunity to share in the organization’s growth.

• Comprehensive healthcare coverage.

• Flexible paid time off to support work-life balance.

• Remote work flexibility, allowing you to work from a location that suits you.

• Opportunities for individual development and professional growth with support from experienced leaders.

• A collaborative, high-performing team environment that encourages innovation, knowledge sharing, and collective success.

• Company-sponsored team outings and offsite events.

• The opportunity to contribute to innovative AI-driven analytics that help insurers and communities better prepare for natural catastrophes.