Vice President

  • 37110
  • Non-Life - Actuarial
  • |
  • New Jersey, United States
  • |
  • Mar 25, 2020
  • Utilize various statistical modeling techniques to support the creation and development of models, and participate in innovative work to create sophisticated rating plans.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Lead and innovate pricing and product development activities for all major products within division.
  • Analyze deal flow opportunity and participate in the review and due diligence phases of new programs, as well as lead new product development.
  • Partner with underwriting, claims, IT, reinsurance, and finance professionals to provide technical and analytical expertise and insight and implement and monitor outcomes, as well as deliver data analytics and interpretation throughout the division.
  • Produce granular profitability metrics and profitability studies, including pricing action strategy and execution planning with the business units, and support price adequacy and profitability studies.
  • Provide analytically-based recommendations in areas such as new market sizing and entry tactics, business model evaluation and design, competitor and market trend analysis, and resource assessment, among others.
  • Collaborate with business unit leaders on initiatives relating to actuarial, product development, processes, underwriting policy, and strategy, and translate business needs into analytics that can then be interpreted into business applications and advanced technologies.
  • Bachelor's degree in Economics, Statistics, Applied Math, or equivalent training, plus at least 15 years of progressively more responsible property/casualty actuarial roles with significant pricing, product development and management experience.
  • FCAS designation.
  • Experience with deterministic and stochastic credit risk modeling, as well as familiarity with rating agency credit data sets, a plus.
  • Experience using statistical computer languages to manipulate data and draw insights from large data sets, as well as working with machine learning techniques and data architectures.
  • In-depth knowledge of both admitted and wholesale products, including ISO, NCCI, and AAIS.
  • Excellent analytical, problem-solving, presentation, collaboration, negotiation, oral and written communication skills required.
  • Knowledge of competitor products and capabilities, as well as marketplace dynamics and market trends.
  • Strong relationship building, planning, analytical, decision-making and organizational skills.
  • Will abide by departmental policies and procedures, including authority levels, to comply with the company's risk management controls.
  • .