Actuarial Sr Consultant - Commercial Modeling

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For a detailed look at CNA's benefits, check out our Candidate's Guide .
Technical expert of building, monitoring, and maintaining models for Commercial Pricing organization. This individual will work closely with Predictive Analytics area while helping influence pricing strategies for numerous business units and product lines. This technical expert will drive efforts to solve complex issues for Commercial pricing organization.
This position could be filled as an Analytics Sr. Consultant role for candidates with insurance and modeling experience outside of the Actuarial field.
JOB DESCRIPTION:
Responsibilities include the following:

• Collaborate with Predictive Analytics on modeling technical and manual premium across Workers Compensation, Property, General Liability, Products liability, Umbrella, Commercial Auto,and Business Owners policies
• Collaborate with Line of Business actuarial teams on evaluating rating plan impacts, helping ensure successful implementation, and establishing regular maintenance of the models
• Interact closely with business partners to explain technical pricing indications and help support tactical execution of business decisions
• Other Projects (e.g. Trend Analyses, Portfolio reviews)

Essential Duties & Responsibilities

• Strong technical knowledge of financial, economic and statistical practices, procedures and principles.
• Develops and maintains pricing models for various product lines
• Builds complex models to forecast and analyze prospective losses under various conditions and their impacts on pricing specific lines of business
• Interprets model results in business terms and communicates model contents to business decision makers. Ability to effectively interact with all levels of CNA's internal and external business partners.
• Stays up to date on industry trends and developments in functional area of expertise. Assures knowledge transfer within the organization.
• Ability to solve problems independently and with a sense of urgency; utilizes and manages all available resources to make informed decisions and achieve superior results.
• Facilitates communication and provides technical guidance to underwriting regarding the pricing of new and existing business.Works with other areas (e.g., claims, finance) on actuarial issues.
• May perform additional duties as assigned.

Reporting Relationship
Managing Director or above
Skills, Knowledge & Abilities

• Strong knowledge of actuarial principles, economic and statistical practices, procedures, and principles as they relate to the organization and functional area
• Adept at manipulating big datasets across multiple complex relational databases, including processing of third party data sources for analytics and modeling purposes
• Expert knowledge of R programming languages, statistical and machine learning techniques, as well as Microsoft Office Suite. Cloud based technology a plus (e.g. GCP, AWS or MS Azure).
• Strong analytical, critical thinking and problem-solving skills, with ability to effectively resolve complex situations and issue
• Ability to creatively and effectively manage through ambiguous and challenging problems, leads through change and takes appropriate levels of risk.
• Strong communication skills, ability to balance multiple concurrent projects with shifting priorities, and ability to work both independently as well as within a team environment.
• Ability to exercise independent judgment and make critical business decisions effectively within scope of authority based on data analyses and reviews.
• Ability to exercise professional judgement and assume responsibility for decisions which have an impact on people and quality of service.
• Ability to solve issues with a sense of urgency; utilizes and manages available resources to make informed decisions and achieve superior results.
• Insurance and modeling experience is required and successful candidates should have strong analytical and technical skills with a desire to innovate and learn new tools.

Education & Experience

• Bachelor's Degree in a relevant discipline or equivalent.
• Typically a minimum of seven years of related work experience with a statistical modeling background
• Typically has a Fellowship accreditation (FCAS), or may be working towards Fellowship; may include those that have attained their Certified Specialist in Predictive Analytics (CSPA)

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CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact [email protected] .