Actuary Lead, Decision Analytics - P&C Insurance

OUR CLIENT

Our client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting-edge analytics techniques, and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, our client's analytics team takes an industry-specific approach to transform decision-making and embed analytics more deeply into their business processes. They have a global footprint of 2,000+ data scientists and analysts who assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. They serve the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

ROLE

We are seeking an experienced Actuary Leader with certifications from IAI, IFOA, or CAS with a minimum of 10 years of experience to join a growing practice. This leader will be responsible for overseeing and directing the P&C actuarial team.

JOB SUMMARY

• Seeking a qualified / near qualified Actuary from IAI, IFOA, or CAS, boasting a minimum of 5 years of experience.
• Responsible for overseeing and directing the P&C actuarial team.
• Expected to collaborate closely with both the internal team and clients on P&C insurance actuarial projects specifically targeting the US markets.
• Perform complex Actuarial analysis, identify key drivers of results & develop actionable insights in determining pricing/ reserving strategy for cyber insurance.
• Lead the team in performing tasks such as rate review, rate filing, pricing models, reserve estimation, valuation reports, and presentation preparations.
• Collaborate with IT to implement raters and technical models into client-specific policy admin system, Guidewire.
• Aid in the onboarding and skill development of new team members
• Identify and actively engage in continuous improvement endeavors.
• Ensure adherence to Data Privacy and Protection Guidelines

RESPONSIBILITIES

• Lead and oversee the Pricing, Modeling, and Reserving functions within the Property and Casualty division
• Provide analysis and insights to assist in determining pricing strategy
• Monitor profitability, reserves, and claim trends and share results with recommendations to underwriting & pricing business partners
• Utilize advanced actuarial methods to develop and maintain pricing models, ensuring accuracy and relevance for the organization's objectives.
• Collaborate with cross-functional teams to transform analytical findings into actionable insights, aiding decision-making processes.
• Manage a team of actuaries, providing guidance, mentorship, and support in their professional development.
• Stay updated with industry trends, regulatory changes, and emerging actuarial methodologies, incorporating them into the organization's strategies.
• Foster a culture of innovation and continuous improvement within the actuarial team.

CANDIDATE PROFILE

• Qualified/ near qualified Actuary from IAI, IFOA, or CAS with a minimum of 5 years of experience in the Property and Casualty insurance sector
• Experience in end-to-end reserve/profitability reviews preferably in Cyber LOB
• Working knowledge around policy admin system preferably Guidewire to be an advantage
• Must have experience in leading an actuarial team
• Strong leadership skills with the ability to manage and lead a team effectively.
• Proven experience in collaborating with cross-functional teams and clients, particularly in the US insurance markets.
• Expertise in critically examining and analyzing models, demonstrating a keen eye for detail.
• Proficiency in preparing detailed documentation for various actuarial processes and presentations.
• Commitment to learning and development, assisting in the growth of team members.
• Proactive in identifying and participating in continuous improvement initiatives.
• Thorough understanding and adherence to Data Privacy and Protection Guidelines.

LOCATION

Remote - Prefer EAST COAST in the US or Canada