SAS Developer with P&C Insurance experience

Title: SAS Developer with P&C Insurance experience Loc: Hybrid, Financial District, NYC
Job Summary:
As a SAS developer in the P&C insurance sector, you will play a crucial role in leveraging data and analytics for a variety of tasks related to risk assessment, underwriting, claims management, and business intelligence.
Key responsibilities

Data Management and Analysis:

• Developing and maintaining SAS programs for data extraction, transformation, and loading (ETL) from various sources, including legacy systems and modern applications.
• Cleaning, validating, and ensuring the accuracy and integrity of P&C insurance data for analysis and reporting.
• Performing complex data analysis tasks to identify trends, patterns, and insights relevant to insurance operations.

Reporting and Business Intelligence:

• Creating and maintaining various reports, dashboards, and visualizations to communicate key business information and support decision-making.
• Generating statistical reports and data summaries using various SAS tools and procedures.
• Presenting findings and recommendations to stakeholders and management teams.
• Model Development and Validation:
• Developing and/or using vendor catastrophe models (e.g., Verisk/AIR, KCC, Cotality/CoreLogic, or Moody's/RMS) to quantify risk of loss.
• Working with actuarial and risk management teams to implement and validate models for pricing, reserving, and risk management analysis, including complying with regulatory requirements like Solvency II and IFRS 17.
• Modifying catastrophe models or their output to improve quantification of risk of loss, according to USAA Careers.

Collaboration and Technical Support:

• Collaborating with cross-functional teams (e.g., underwriters, actuaries, data scientists) to understand business requirements and translate them into technical solutions.
• Providing technical support and training to team members on SAS tools and best practices.

Essential skills and qualifications SAS Programming Expertise:

• Strong proficiency in the SAS programming language, including Base SAS, SAS SQL, and SAS Macros.
• Experience with other SAS tools and environments like SAS Enterprise Guide (EG) and SAS Viya
• Proficiency in mathematical and statistical techniques for data analysis and modeling.
• Experience with data visualization and reporting tools.
• Familiarity with other programming languages like SQL, Python, or R can be a plus.
• Relevant SAS certification(s) are a huge PLUS (but NOT a must)

Domain Knowledge:

• Deep understanding of P&C insurance products, risk assessment methodologies, and underwriting principles.
• Knowledge of the insurance industry data models, regulatory requirements (e.g., Solvency II), and business processes.

Soft Skills:

• Excellent analytical and problem-solving skills to address complex business challenges.
• Strong communication and collaboration skills to effectively interact with stakeholders and work within teams.
• Attention to detail and a commitment to data quality and accuracy.

Thanks And Regards,

Amit Lakhotia