What are the responsibilities and job description for the Senior P&C Insurance Claims Analyst position at CLARA Analytics?
About CLARA
CLARA Analytics is the leading AI as a service (AIaaS) provider that improves casualty claims outcomes for commercial insurance carriers and self-insured organizations. The company’s product suite for workers comp, commercial auto and general liability insurance claims applies image recognition, natural language processing, and other AI-based techniques to unlock insights from medical notes, bills and other documents surrounding a claim. CLARA’s customers include companies from the top 25 global insurance carriers to large third-party administrators and self-insured organizations. Founded in 2017, CLARA Analytics is headquartered in California’s Silicon Valley. For more information, visit www.claraanalytics.com, and follow the company on LinkedIn and X.
Job Description
A Senior P&C Insurance Claims Analyst (Quantitative) is a highly experienced professional with a background from claims organizations and a comfort with actuarial techniques (actuarial credentials not mandatory), responsible for analyzing complex insurance claims trends using advanced quantitative methods, including statistical modeling and data analysis, to assess the performance and customer impact of the CLARA platform, while driving requirements for analytics to the product and data science teams that enhance the platform.
Key Responsibilities
- Advanced Claims Analysis: Utilize statistical modeling, predictive analytics, and data mining techniques to identify patterns, trends, and risk factors within claims data to inform design of functionality and data models for the CLARA Analytics product suite.
- Claim Reserves Analysis: Develop and refine quantitative models to assess claim reserving behaviors for individual clients and their claims trends as well as industry level patterns, considering factors like injury severity, legal complexities, and potential litigation costs.
- Fraud Detection Analytics: Leverage data analytics tools to identify potential fraudulent patterns, including network analysis and anomaly detection techniques. Utilizing the analytics to drive Product requirements and backlog.
- Claims Severity Analysis: Conduct in-depth analysis of claim severity drivers, including factors like jurisdictional location, claim types, and adjuster behaviors, to inform adoption and impact of CLARA’s product suite.
- Performance Monitoring: Track key claims metrics and generate reports from CLARA’s contributory data lakehouse to identify areas for improvement and implement process optimization initiatives.
- ROI Modeling: Using the above analysis, outline the ROI methodology for the CLARA Products, incorporating adoption.
- Presentation and Executive Presence: Clear, logical and precise storytelling of analysis using visualizations and summarization. Ability to present cohesively and tersely to CxO customers of CLARA on ROI realization and opportunity areas.
- Team Leadership: Mentor and guide junior claims analysts, providing expertise in quantitative analysis and claims handling bet practices.
- Stakeholder Collaboration: Collaborate with other departments like Product Management, Data Science, Data Engineering, and Application Engineering to deploy relevant analytics methods & visualizations to the CLARA Product suite.
Qualifications
- Strong Quantitative Skills: Advanced proficiency in statistical analysis, data modeling, and programming languages like SQL, python. Experience in analytical toolsets such as Quicksight/AWS, and lakehouse environments.
- P&C Insurance Expertise: 7 years of relevant industry experience and a deep understanding of P&C insurance products, policy terms, and claims processes
- Claims Handling Experience: Proven track record of managing complex claims, including litigation experience
- Data Analysis Skills: Ability to extract, clean, and analyze large datasets from various sources
- Communication Skills: Effective communication to present complex findings to stakeholders, including senior management
- Bachelor's Degree: Typically a Bachelor's degree in mathematics, statistics, actuarial science, or a related field
Salary : $140,000 - $160,000