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Senior Predictive Modeler

          

Develop predictive models and advanced risk analytics for our clients in the insurance industry, and let us develop you.

Marshall & Swift/Boeckh (MSB) Company: Marshall & Swift/Boeckh (MSB)
Location: Milwaukee, WI
Web: www.msbinfo.com

_Contact_:
Apply online, search for Senior Predictive Modeler

Broaden Your Horizons!

Develop predictive models and advanced risk analytics for our clients in the insurance industry, and let us develop you. Recognizing that our people are our competitive advantage, we deliver the resources and tools to support your growth.

Our culture promotes open communication, a diverse workforce and a deep rooted commitment to provide our clients with innovative solutions. We are also a 100% casual work environment - Yes, that means jeans every day.

As a Senior Predictive Modeler at MSB, you will:

  • Develop and manage predictive models related to MSB's predictive modeling based solutions.
  • Understand property and casualty insurance industry concepts and utilize actuarial expertise to create analytic solutions.
  • Utilize large datasets and perform advanced statistical analysis.
  • Perform model validation and support the implementation process.
  • Present technical analysis to internal and external clients.
  • Work with a team of predictive modeling and statistical analysts to develop analytics products.
  • Contribute and brainstorm new ideas within a team environment.
Specialized Knowledge & Skills:
  • Extensive experience using statistical analysis and modeling tools like: SAS, SPSS, or R. Certifications will be a plus.
  • Strong experience using Microsoft SQL Server.
  • Ability to effectively use MS Office software including Access, Excel, PowerPoint, and Word.
  • Good writing, editing, communications, organizational, and decision making skills.
  • Insurance industry credentials and Predictive modeling certifications will be a plus.
Education & Work Experience:
  • Masters degree/PhD in Math, Economics, and/or Statistics preferred.
  • Solid knowledge of P&C insurance industry practices and background in property insurance underwriting, actuarial science, or claims.
  • Extensive hands-on predictive modeling experience with developing risk scoring, pricing, and fraud detection models.
  • Experience working for a major property and casualty insurance company as a predictive modeler is strongly preferred.
Company Description - Marshall & Swift/Boeckh

Marshall & Swift/Boeckh (MSB) is the leading provider of building cost solutions, book of business management services, analytics products and claims estimating technology for property insurance companies, financial services organizations and government entities. Throughout our eight decades of experience, we have compiled a strong track record of consistently developing innovative property solutions, analyzing our clients' operations and providing them with the assistance needed to dramatically improve their business results. This track record continues today as we serve as the hub for all of our client's property needs and work tirelessly to help them maximize their profitability and achieve a competitive advantage.

Located in the U.S., Canada and Europe, Decision Insight Information Group delivers a comprehensive range of information, infrastructure and decision support products and services for financial and legal professionals. Operating at the heart of the property industry, Decision Insight Information Group manages complex information solutions and provides clarity on decision making for buying, selling, conveyancing, financing and insurance. Decision Insight companies include MSB and DataQuick in the U.S., Access Point Information Canada, SearchFlow, xit2 and Decision Insight Hub in the UK, Millar & Bryce in Scotland, Rochford Brady Group in the Republic of Ireland, and Wertweiser, a joint venture with HVB Bank, in Germany. Decision Insight has 1,100 employees in 16 offices.

For more information, visit www.decisioninsightgroup.com.


KDnuggets Home » Jobs » MSB: Sr. Predictive Modeler  ( < Prev | 12:n26 | Next > )

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