You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
Due to growth, CNA Insurance is seeking to add a Data Science Consulting Director to our Actuarial Organization. In this role, you will be the lead executor for building, monitoring and maintaining actuarial pricing models across commercial and specialty lines. As a thought leader in insurance pricing, you can identify a viable approach to insurance pricing problems, and perform analysis and modeling to solve them with minimal direction. You will collaborate with peers and business partners to influence pricing strategies and ensure that we build and implement viable pricing solutions. You will also guide junior team members in their work.
This is a great opportunity for a candidate who is a technical specialist in building and maintaining predictive pricing models, looking for an opportunity to drive profitable growth with actionable insights, and expanding domain expertise in a variety of insurance businesses across commercial and specialty lines.
A hybrid or remote work schedule may be considered and will depend on candidate location and preferences.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
- Leads the development of actuarial pricing models across commercial and specialty lines.
- Utilizes cloud based technologies and data infrastructure to build repeatable and standardized analysis pipelines to accelerate and scale pricing model review cycle.
- Uses appropriate statistical and machine learning techniques to develop actuarial pricing models that address business needs, and clearly communicates appropriateness of modeling techniques to both technical and non-technical stakeholders.
- Collaborates with line of business actuaries and underwriters on evaluating business impacts of actuarial pricing models and present model results to senior management.
- Ensures successful implementation, regular monitoring and maintenance of actuarial pricing models.
- Builds strong relationships with peers, business partners and leaders across multiple functions in order to influence pricing strategy through the use of actionable insights and analytics.
- Provides subject matter expertise on the current and emerging predictive modeling techniques.
- Leads the introduction of innovative data science methodologies and suggest improvements to existing best practices.
May perform additional duties as assigned.
Reporting Relationship
Managing Director or above
Skills, Knowledge & Abilities
- Proficient with SQL and advanced knowledge of R or Python (e.g., able to write advanced and efficient programs, plus expert knowledge of data manipulation, statistical and machine learning libraries).
- Deep expertise in applying statistical modeling and machine learning methods to solve pricing problems.
- Passion for learning new tools and staying up to date with industry trends, best practices, and emerging technologies.
- Strong interpersonal and communication skills with proven experience influencing business partners at various levels and ability to achieve results by taking a proactive long-term view of business goals and objectives.
- Excellent analytical, critical thinking and problem solving skills with the ability to effectively resolve complex situations and issues.
- Proven ability to exercise professional judgement and assume responsibility for decisions which have an impact on business and quality of service.
- Solid organization and project management skills with the ability to balance multiple concurrent projects with shifting priorities, and the ability to work both independently as well as within a team environment.
- Ability to creatively and effectively manage through ambiguous and challenging problems, and leads through change.
Education & Experience
- PhD in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or data science.
- Typically a minimum of ten years of relevant work experience.