Senior Analyst/Consultant, Advanced Analytics

Location
Somerville, Massachusetts
Salary
Open
Posted
May 04, 2021
Closes
Jul 03, 2021
Ref
83282346#GIJ--LibertyMutual.1
Category
Actuary
Job Type
Not Specified
Career Level
Not Specified

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.  

 

Liberty Mutual has proudly been recognized as a “Great Place to Work” by Great Place to Work® US for the past several years. We were also selected as one of the “100 Best Places to Work in IT” onIDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates—as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion 

 

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits  

 

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. 

Overview:

The GRS Advanced Analytics Hub is looking for an experienced analyst that can drive the development and implementation of predictive analytics solutions across various business segments/products. In this role you will work with data scientists, IT, underwriters, and actuaries to build and implement solutions that promote efficiency and profitability. The solutions that this team provides targets medium to large commercial and specialty risks.

 

About GRS Predictive Analytics:

  • What we do: Extract knowledge or insights from data and deliver it in a manner which supports the underwriting decision process
  • How do we do it: Leverage data science, actuarial techniques and business expertise to develop predictive models
  • Why do we do it: Arm our underwriters with best in-class tools to gain competitive advantage

Responsibilities:

This position requires candidates with experience in data preparation and analysis, statistical methods and tools, and extensive knowledge of insurance products. Strong technical skills and project management are required. 

  • Utilizes advanced analytics techniques to solve business problems. May regularly utilize, update and adapt predictive modeling tools and/or focus on the application of the tools
  • Work extensively with key stakeholders across GRS to understand business needs, vet opportunities, and deliver analytically-based solutions and tools to drive business results
  • Develop & deliver presentations to communicate technical ideas and analytical finding to non-technical partners and stakeholders, including underwriters and IT technicians
  • Manages low to moderately complex projects, while providing technical and analytical assessments of issues facing the business.
  • May lead discussions with senior leadership at the department or functional level

The internal level and compensation for this role will depend on the candidate's overall experience and skill level.

  • Bachelor's Degree plus a minimum 3-5 years of related experience required, including some exposure to modeling or advanced analytics
  • Prior knowledge of property/casualty insurance industry desired
  • Understanding of techniques in statistics and predictive analytics.
  • Strong analytic, quantitative and problem-solving skills
  • Proficiency in statistical software packages (SAS, R), SQL, Excel and PowerPoint
  • Must have good planning, analytical, decision-making and communication skills.

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