Manager, Actuarial & Analytics - Loss Analytics - Auto
TravelersAbout the role
Who Are We?
Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Job Category
Actuarial, Data AnalyticsCompensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range
$106,300.00 - $175,400.00Target Openings
1What Is the Opportunity?
The Manager position in Loss Analytics is on the Auto team. The main responsibilities include:- Completing reserve reviews on a quarterly basis for assigned business units and present findings to leadership and key business partners. Reserve review analysis includes analyzing standard and alternative reserving methods, considering the impact of key internal and external factors specific to the business unit or the auto line.
- Ownership of tools or methods to inform the quarterly reserve review analysis or trend monitoring, keeping audit-ready documentation and processes.
- Use advanced modeling output to inform decisions, answer business questions, and deliver insights.
- Support business plan and rate adequacy efforts, including comprehensive loss trend analysis and selections.
- Support the reserve modernization effort, participating in cross-line initiatives, streamlining work and building or modifying tools to be more efficient and consistent across Loss Analytics.
What Will You Do?
Strategy:
Participate in a lead role in the successful execution and completion of assigned strategic initiatives and projects.
Develop solutions to resolve challenges of an initiative.
Propose change and innovation in order to improve project team performance and timelines.
This position will often participate on cross-unit initiatives and may participate on Enterprise initiatives.
Operational:
Independently perform actuarial and analytic analyses to solve business problems and apply judgment appropriately.
Support and drive components of unit initiatives. Begin to support broad department initiatives.
Take accountability for process efficiencies within assignments.
Begin to make proposals in accordance with department practices.
Provide support as necessary for initiatives across the Enterprise within the scope of influence.
Communication:
Communicates analysis, project results, and other business initiatives to peers and business partners.
Communicates technical topics to non-technical audience within the primary working group with guidance from manager.
Actively participates and may lead group discussions at the unit level.
Creates formal written communication such as memos or presentations with guidance and peer review.
Networks and collaborates on ideas and challenges.
Talent:
Retention and development of assigned staff.
Execute and communicate talent development processes, including performance and personal development goals.
Talent assessment recommendations.
Performance management.
Mentor less experienced talent across the Enterprise.
Onboard new employees and interns in unit.
Support various training and skill development initiatives across assigned Segment and the Enterprise.
May provide support for recruiting efforts and candidate talent assessment efforts.
Perform other duties as assigned.
What Will Our Ideal Candidate Have?
College degree in STEM related field.
Associate Actuarial Credential preferred.
Strong PC skills (MS Office) and programming skills (eg. SQL, SAS).
4+ years of quantitative analysis experience preferred.
Strong understanding of insurance products and industry.
Demonstrated
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