AVP/VP, Specialty Pricing

Ledgebrook

7h•Remote

About The Position

Ledgebrook is an InsurTech MGA on a mission to bring Specialty insurance into the modern era. Positioned at the cutting edge of the next generation of InsurTech, Ledgebrook offers the best of both worlds: innovative world-class technology deployed by a leadership team armed with over 100 years of insurance expertise. Our long-term vision is to become a diversified full stack Specialty re/insurer competing with legacy carriers in product lines & markets across the globe. To get there, Ledgebrook will build our premium base by rolling out a new Specialty product every ~6 months until we prove enough traction to raise a balance sheet, become a full stack carrier and eventually compete in the reinsurance markets. Our initial product will be domestic primary and excess GL E&S policies sourced via wholesale brokers. Ledgebrook is a fully-remote US based company backed by top venture investors including Brand Foundry & American Family Ventures. Ledgebrook is seeking an AVP/VP, Specialty Pricing actuary to join our Product & Data team. This is a high-impact role where you will be instrumental in driving data-informed decision-making across our Professional, Cyber, and Excess Liability portfolios. You will be a key contributor by working closely with our underwriters and developing and maintaining our professional lines and excess casualty pricing. As an AVP/VP, Specialty Pricing, you will: Develop Analytical Solutions: Help design and build predictive pricing models using a combination of machine learning and traditional actuarial methodologies. You will also create and implement analytical reports and processes that provide valuable business insights. Drive Data Strategy: Work closely with our incredible data and AI/ML engineers to define data requirements for advanced models and tools. You will ensure data integrity and accuracy as well as implement third-party data into projects. Communicate and Collaborate: Partner closely with underwriting, claims, finance, and other business stakeholders to translate complex actuarial findings into actionable business strategies. Your ability to communicate effectively will be crucial for the successful adoption of new insights and models. Own Technical Pricing: You will have the opportunity to own technical pricing. You collaborate with other teams to ensure your models and pricing tools are seamlessly integrated and maintained. Mentor and Grow: You will partner with other actuaries and data scientists on the team to build out our capabilities and foster a culture of continuous improvement and innovation. Note that the level of this role will be adapted to match the candidate’s experience and skillset.

Requirements

Strategic mindset, strong actuarial pricing and/or insurance modeling experiences, and a passion for leveraging data to drive business value.
Credentialed actuary or background in statistics with experience in professional liability pricing in the Property & Casualty insurance or reinsurance market.
Proficient in Excel and SQL.
Strong desire to learn and innovate.
Ability to thrive in a fast-paced, startup environment.
Passion and collaborative spirit.
Authorized to work in the United States without the need for current or future employer-sponsored work authorization.

Nice To Haves

E&S experiences a plus.
Strong communication and presentation skills with the ability to “sell” your pricing models to stakeholders.
Ability to build relationships to ensure team-wide trust.
Cannot wait to find new ways to solve business problems.

Responsibilities

Help design and build predictive pricing models using a combination of machine learning and traditional actuarial methodologies.
Create and implement analytical reports and processes that provide valuable business insights.
Define data requirements for advanced models and tools in collaboration with data and AI/ML engineers.
Ensure data integrity and accuracy and implement third-party data into projects.
Partner closely with underwriting, claims, finance, and other business stakeholders to translate complex actuarial findings into actionable business strategies.
Own technical pricing, collaborating with other teams to ensure seamless integration and maintenance of models and pricing tools.
Partner with other actuaries and data scientists on the team to build out capabilities and foster a culture of continuous improvement and innovation.