Data Scientist (DT)

Chubb
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Job Description

Qualifications

Educational

  • Bachelor’s degree (or equivalent) degree in a quantitative field such as Data Science, Actuarial Science, Statistics, or Mathematics.​
  • 5+ years of related practical experience, preferably in commercial insurance sector.​
  • Solid understanding of insurance pricing principles, loss reserving, and risk assessment methodologies.​
  • Familiarity with insurance industry regulations, standards, and best practices.

Responsibility

  • Develop and maintain loss cost models using GLMs and other advanced statistical techniques, incorporating relevant variables and factors for accurate pricing and risk assessment.​
  • Analyse historical insurance data to identify patterns and trends, and determine the impact of various factors on loss costs.​
  • Collaborate with underwriting, claims, and finance teams to understand business needs and provide data-driven insights for portfolio management.​
  • Conduct rate level reviews to ensure appropriate pricing of insurance products, considering risk exposure, market dynamics, and profitability goals.​
  • Enhance loss cost models over time by incorporating new data sources, refining variables, ​
  • and exploring innovative modelling techniques.​
  • Evaluate the impact of pricing strategies, policy changes, and market shifts on portfolio performance, and make recommendations for adjustments, if needed.​
  • Present findings and recommendations to stakeholders, including senior management and underwriting teams, in clear and concise reports.​
  • Work closely with other departments including Underwriting, Actuarial, and Risk Management, providing them with the data and insights needed to make evidence-based decisions.​

Functional Competency

  • Excellent analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations.​
  • Strong communication skills to effectively convey complex findings and recommendations to both technical and non-technical stakeholders.​
  • Attention to detail and ability to work independently, managing multiple projects and deadlines efficiently
  • Strong proficiency in statistical modeling techniques, specifically GLMs, and experience with software tools like R, SAS, or Python.​
  • Proficiency with data analysis and visualisation tools and platforms, preferably Qliksense, Power BI, Alteryx, etc.​

Company Info.

Chubb

Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline.

  • Industry
    Insurance
  • No. of Employees
    33,600
  • Location
    Warren, NJ, USA
  • Website
  • Jobs Posted

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