Underwriting Analytics Specialist (Commercial P&C)(Hybrid or Remote)

Amerisure creates exceptional value for its partners, policyholders, and employees. As a property and casualty insurance company, Amerisure’s promise to our partner agencies and policyholders begins with a comprehensive line of insurance products designed to protect businesses, as well as the health and safety of every employee. With an A.M. Best “A” (Excellent) rating, Amerisure serves mid-sized commercial enterprises focused in construction, manufacturing and healthcare. Ranked as one of the top 100 Property & Casualty companies in the United States, we proudly manage nearly $1 Billion of Direct Written Premium and maintain $1.21 billion in surplus.

We are recruiting for an Underwriting Analytics Specialist to join our team in Michigan. Ideally this role will be hybrid in our Farmington Hills, MI office. However, for the right candidate, this role can sit remote in most locations in the U.S.

POSITION SUMMARY:

Drives the use of advanced analytics thought development and maintenance of tools to support the Underwriting Strategy team in portfolio management and field execution. Systematically collects, processes and performs statistical analysis on data sets. Analyzes data to identify patterns, relationships and trends. Prepares reports and presentations to share findings and make recommendations to stakeholders to positively influence underwriting strategy and decision-making processes. Creates tools to enable field execution aligned with predictive analytics to positively impact underwriting results.

Responsibilities

• Gather data needs regularly from stakeholders that will assist in making informed decisions.
• Collaborate with Line of Business Directors to provide data sets and insights to support line of business and state reviews, annual planning, and strategic catastrophe management.
• Collect data from primary and secondary sources, structuring it in a way that allows for effective analysis.
• Scrutinize data through sophisticated analytical techniques to derive meaningful insights and to generate informed business decisions.
• Provide analyses, monitoring, and testing of established and new key metrics for the underwriting portfolio, including the spread of risk and exposure concentration.
• Support market research through categorizing and synthesizing industry data into digestible and usable formats to support strategic profit and growth decisions.
• Utilize internal data available to construct tools, create reports and make recommendations that enable improved underwriting decision making at the underwriting desk level as well as reporting tools for leadership.
• Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Provide competitive market intelligence and industry analyses regularly.
• Partner with analytics to integrate predictive pricing analytics into selection-based tools and provide underwriting perspective for ongoing adjustments to models.
• Support Special Risk through enhanced tools including comparative analysis to other programs
• Establish operational processes and procedures with a focus on continuous improvement.
• Participate in project work, occasionally leading complex projects and project teams.
  
  
  

REQUIREMENTS:

• Bachelor’s degree in Mathematics, Statistics, Economics, Analytics, Actuarial Science, Insurance & Risk Management or related field.
• Candidates must have a minimum of 4 years of experience in risk analysis experience, preferably in insurance.
• Underwriting experience preferred.
• Sound knowledge of predictive analytic techniques and statistical diagnostics of models.
• Demonstrated successful ability to evaluate analytical and technical tools and programs to determine their value.
• Demonstrated ability to lead discussions, exchanging ideas and conveying complex information clearly and concisely, both verbally and in writing.
• Ability to establish and build effective relationships within and outside the organization.
• Experience with advanced predictive analytics techniques.
• Familiarity with actuarial practices and principles.
  
  
  

Just as we are committed to creating exceptional value for our Partners For Success® agencies and policyholders, Amerisure also remains committed to being an employer of choice. We reinforce this commitment by adhering to an Employee Value Proposition that, in part, is provided through a competitive total rewards package. This package includes competitive base pay, performance-based incentive pay, comprehensive health and welfare benefits, a 401(k) savings plan with profit sharing, and generous paid time off programs. We also offer flexible work arrangements to promote work-life balance. Recognized as one of the Best and Brightest® Companies to Work For in the Nation and one of Business Insurance magazine’s Best Places to Work in Insurance, we provide a workplace that fosters excellence and professional growth. If you are looking for a collaborative and rewarding career, Amerisure is looking for you.

Amerisure Insurance provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Amerisure Insurance complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Amerisure Insurance expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Amerisure’s employees to perform their job duties may result in discipline up to and including discharge.