AmTrust Financial Services - Dallas, TX

posted 3 months ago

Full-time - Mid Level
Dallas, TX
Insurance Carriers and Related Activities

About the position

The Senior Actuarial Analyst - Predictive Modeling position at AmTrust Financial is designed for a driven and inventive actuarial candidate who will play a crucial role in guiding the adoption of complex models across multiple lines of business. This role involves close collaboration with data scientists, other actuarial staff, and underwriters to create frameworks for model adoption, set model objectives, analyze modeling data, validate models, and assess their impact. The goal is to drive profitable growth for the company by effectively communicating the results of the work to both technical and non-technical audiences. In this position, the analyst will maintain an up-to-date understanding of the insurance landscape, emerging trends, data science concepts, and new technologies that may influence pricing models. The role requires collaboration with various teams to develop and implement predictive models for pricing, portfolio management, and planning purposes. The analyst will also be responsible for fostering a strong risk management culture within the department, which includes maintaining model documentation, managing model change processes, and adhering to established governance policies and best practices in data operations and coding. Additionally, the Senior Actuarial Analyst will leverage database and business intelligence tools to extract, analyze, and communicate data that supports robust business decisions. The position also involves developing and enhancing team processes to ensure they are effective, repeatable, and scalable. As an actuarial modeling expert, the analyst will provide technical model support and relevant training to other actuaries and underwriters within the organization, ensuring that the team is well-equipped to handle the complexities of actuarial modeling.

Responsibilities

  • Maintain an up-to-date understanding of the insurance landscape, emerging trends, data science concepts, and new technologies that may impact pricing models
  • Collaborate with various teams to understand, develop, and implement predictive models for pricing, portfolio management, and planning purposes
  • Communicate with business and technical stakeholders to ensure transparency and common understanding of goals and prioritization
  • Foster a strong risk management culture within the department, including maintaining model documentation, managing model change management processes, and adhering to established governance policies and data operations and coding best practices
  • Leverage database and business intelligence tools to extract, analyze, and communicate data to support robust business decisions
  • Develop and enhance team processes to be effective, repeatable, and scalable
  • Serve as an actuarial modeling expert by providing technical model support and relevant training to other actuaries and underwriters within the organization

Requirements

  • Bachelor's degree in Actuarial Science, Mathematics, or related field
  • 3+ years of actuarial experience and actively pursuing ACAS or FCAS
  • 3+ years of hands-on SQL, Python or R experience with strong data exploration and manipulation skills
  • Strong grasp of statistical methods applied to insurance data, including the ability to identify and articulate data and modeling issues
  • Ability to build a sense of trust and rapport that creates an effective workplace
  • Excellent problem-solving skills and attention to detail
  • Demonstrated ability to experiment with and learn new technologies

Benefits

  • Medical & Dental Plans
  • Life Insurance, including eligible spouses & children
  • Health Care Flexible Spending
  • Dependent Care
  • 401k Savings Plans
  • Paid Time Off
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service