posted

30+ days ago

Location

Cleveland, OH

Description

About

AmTrust Financial Services, Inc. was founded in 1998 to provide property and casualty insurance to small businesses. Through acquisitions and organic growth, AmTrust Financial Services has since grown to become a multinational property and casualty insurer specializing in coverage for small to mid-sized businesses. Our financial stability is based upon a philosophy of niche diversity with a focus on low-hazard risk.

Since its inception, AmTrust has crafted a balanced portfolio of insurance products including:

  • Multiline Small Business Insurance
  • Warranty and Specialty Risk Insurance
  • Specialty Program Business Insurance

We are currently in the process of building a Data Science/Predictive Analytics division within AmTrust from the ground up. Given the unique nature of this start-up, the visibility and opportunites are endless.

Knowledge and Experience

  • Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 2 years of relevant experience (including working towards a Masters degree) in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
  • Relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools and in using various database tools processing large volumes of structured and unstructured data
  • A minimum of 2-4 years experience with mathematical model creation and/or evaluation, hypothesis testing and experimental design.
  • Demonstrated skills in data mining, machine learning, programming, dynamic optimization
  • Experience in thought leadership in applying data driven models that had a tangible impact on business
  • Ability to query databases and apply advanced data manipulation techniques across multiple sources
  • Passion for empirical research and answering hard questions with data
  • Strong communication skills, both verbal and written
  • Ability to understand and articulate the “big picture” and simplify complex ideas
  • Solid project management skills and ability to handle multiple projects simultaneously while meeting tight and potentially changing deadlines in a high-paced and dynamic environment
  • Strong problem solving and structuring skills; ability to mine large datasets and surface actionable insights.