CLARA Analytics improves claims outcomes in commercial insurance with easy-to-use machine learning-based products. The company’s product suite 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 predictive insight gives adjusters augmented intelligence that helps them reduce claim costs and optimize outcomes for the carrier, customer and claimant. CLARA’s customers include companies from the top 25 global insurance carriers to large third-party administrators and self-insured organizations. Founded in 2016, CLARA Analytics is headquartered in California’s Silicon Valley.

We are in search of an Actuarial Business Analyst to join our team. In this role, an Actuarial Business Analyst is responsible for performing various levels of analysis related to client work, such as reviewing data in preparation for analysis, checking data for errors and consistency, drafting reports, and maintaining documentation. In addition to tactical responsibilities, Analysts are given opportunities to present their findings to their product, technical and client facing peers, executive leads, and clients. Work is shared across the practice, giving everyone the opportunity to build their skills and showcase their abilities, and take on increasing responsibilities over time.

Our ideal hire for this role is someone who enjoys thinking critically to solve a client’s business problems; pairs their strong technical skills with creativity; is adept in managing their own workload; and is committed to the actuarial exam process, preferably through the Casualty Actuarial Society.

Key Responsibilities

• Become a subject matter expert on one or more lines of property-casualty insurance business and CLARA’s platform-product value proposition and ROI methodology within those lines.
• Develop and maintain a deep understanding of CLARA's data ecosystem, including data sources and data science models (AI/ML predictive models, cohort and benchmarking, etc.). Proactively identify data quality issues, troubleshoot data discrepancies, and work towards data governance and data quality improvement initiatives for internal reporting purposes
• Perform data analysis and extract insights from multiple data sources, internal and industry, to identify trends, patterns, and opportunities for product and data science model improvement
• Understand, modify, and operate complex spreadsheets and database tools to analyze data and solve problems
• Writing and running programs to extract data for review and report compilation.
• Receive, organize, and review data in preparation for analysis and checking the data for consistency
• Present findings to product, technical and client facing peers, executive leaders, and clients
• Collaborate and support leaders in individual functions with self-service dashboards and reports
• Design and develop visually appealing and user-friendly dashboards, reports, and visualizations on an ad hoc or recurring basis
• Draft written reports and exhibits, and prepare other internal/external correspondence
• Assist with additional ad-hoc reports and analyses.

Qualifications & Experience

• Bachelor's degree in a STEM major or with STEM coursework learned in associated majors (Actuarial Science, Computer Science, Data Engineering, Data Science, Mathematics, Applied Mathematics, Statistics, Finance, Economics)
• 1-3 years of Property-Casualty insurance work experience preferred.
• Passing of at least one actuarial exam is preferred. Commitment to attainment of an insurance professional designation (ACAS, CPCU, AIDM), or of a technology or project management designations
• Data management skills or knowledge of insurance data management principles is a plus.
• Experience in quantitative and qualitative data analysis.
• Some familiarity with insurance coverages, actuarial methodologies and quality control.
• Technical background should include a working knowledge of MS Office applications and understanding of computer programming / software development concepts.
• Knowledge of SQL, VBA, SAS, R, Python, ETL tools or Business Rules Engines is a plus, as is fluency in cloud databases and workflow scripts (e.g. Jupyter Notebooks)
• Background experience in Tableau, Power BI, ThoughtSpot, Spotfire, COGNOS, or other data visualization software would be advantageous.

Required Skills & Competencies

• Quick learner who takes initiative to dive deeper and solve problems
• Able to adjust on the fly, to accept new assignments or shift focus, and balance multiple concurrent projects
• “Big picture” thinking to help anticipate client needs
• Superb attention to detail and technical accuracy
• Motivated to work independently and as part of a team
• Excellent written and oral communication skills, including the ability to express or explain complicated technical concepts, to a variety of audiences