Senior Associate in Catastrophe Risk Analysis
2 weeks ago
At Travelers, we prioritize the well-being of our clients, communities, and employees. This commitment has established us as a leading property casualty insurer for over 160 years. Experience a culture driven by innovation and collaboration, where you can truly enjoy your work and workplace.
Job Category
Data Science
Compensation Overview
The annual base salary range for this position reflects a nationwide market range and encompasses a variety of salaries for this role across the country. The actual salary will be influenced by several factors, including the role's scope, complexity, and location, as well as the candidate's skills, education, training, credentials, and experience. Additionally, employees are eligible for performance-based cash incentive awards as part of our comprehensive compensation and benefits program.
Salary Range
$107,000 - $177,500.00
What Is the Opportunity?
Travelers is recognized for its solid reputation, dedicated workforce, and abundant opportunities. Our strong financial standing and consistent record of operational success provide security for our clients and opportunities for our employees.
Position Summary
The Catastrophe Risk Management Group at Travelers is looking for a Senior Associate Data Scientist to join our PERILS team. This team is comprised of committed professionals focused on preparing Travelers to withstand catastrophic losses from both natural and human-made disasters.
The PERILS team engages in multi-disciplinary research, analytics development, and event response initiatives. As a member of this team, you will actively contribute to the creation and execution of peril research and strategies, participating in complex enterprise-wide CAT research projects with varying focuses. This role demands an individual who thrives in an analytical, innovation-driven setting, aligned with business needs.
Key Responsibilities
As a Senior Associate Data Scientist, you will elevate the organization’s analytical capabilities by employing advanced statistical methods and machine learning techniques. Your responsibilities will include:
- Conducting independent tasks to support the development of analytical solutions, engaging stakeholders, and providing informed recommendations.
- Evaluating catastrophe models, performing sensitivity testing, calibration, and validation, particularly focusing on wildfire and cyber risks.
- Creating tools and features to implement the latest peril research/models into operational use.
- Acquiring domain and business knowledge to construct statistical models.
- Effectively communicating analyses, insights, and results to management, peers, and team members.
- Staying updated on scientific research and synthesizing academic literature.
- Mentoring less experienced analytic professionals.
- Completing additional duties as assigned.
- Master's degree in a STEM-related field or equivalent.
- At least one year of relevant experience.
- Moderate proficiency in modeling, research, analytics, or actuarial practices.
- Understanding of the primary P&C insurance market, basic CAT modeling concepts, and familiarity with one or more vendor CAT models is preferred. CAT model certification is advantageous.
- Strong analytical and research capabilities, particularly with undefined issues.
- Experience in statistical analysis is required.
- Proficiency in statistical techniques and the ability to read and modify statistical software programs (e.g., R/Matlab/SAS).
- Ability to develop basic models and interpret results.
- Basic understanding of advanced statistics relevant to data models.
- Capability to apply emerging statistical methods to work.
- Familiarity with regression, classification, and statistical modeling.
- Moderate knowledge of a programming language (e.g., Python) is strongly preferred.
- Self-motivated with the ability to organize and drive analyses independently.
- Strong communication skills, capable of conveying technical concepts across various professional disciplines.
- Experience with geospatial analysis is a plus.
- Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field, along with one year of experience, or any suitable combination of education and work experience.
- Significant focus on mathematics, including statistics and programming, business intelligence/analytics, and data science tools with large datasets. Verification of specific coursework may be required.
- Health Insurance: Coverage for employees and eligible family members, including spouses, domestic partners, and children, begins on the first day of employment.
- Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can participate in the Paying it Forward Savings Program, where Travelers contributes to your 401(k) account when you make a payment toward your student loan. Additionally, you are eligible for a Pension Plan fully funded by Travelers.
- Paid Time Off: Start your career with a minimum of 20 days of Paid Time Off annually, plus nine paid company holidays.
- Wellness Program: Our wellness program offers tools and resources to help you achieve your wellness goals. The Life Balance program provides access to professional counseling services, life coaching, and other resources to support your daily life needs, including five free counseling sessions with a licensed therapist.
- Volunteer Encouragement: We are deeply committed to our communities and encourage employee involvement. Travelers offers a Matching Gift and Volunteer Rewards program to support charitable contributions.
Travelers is an equal opportunity employer. We believe that our workforce should reflect the diverse customers and communities we serve. We are dedicated to recruiting, retaining, and developing diverse talent while fostering an inclusive workplace that celebrates differences and promotes belonging.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
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