Senior Pricing Actuary

Senior Pricing Actuary | P&C Insurance

Location: New York | Hybrid / Remote

Sector: P&C Insurance | Insurtech | Algorithmic Underwriting

The Opportunity

We are partnering with a high growth, technology first P&C insurance business that is transforming traditional underwriting through advanced analytics, machine learning and algorithmic risk selection.

We are seeking a Senior Pricing Actuary who combines strong actuarial pricing expertise with modern programming and data science capabilities.

This is an opportunity to play a key role in developing sophisticated pricing models, automating underwriting decisions and driving profitable portfolio growth.

Key Responsibilities

• Develop and optimise advanced P&C pricing models using GLMs, predictive analytics and machine learning.
• Build and enhance algorithmic pricing and risk selection methodologies.
• Work closely with data scientists and engineers to deploy pricing models into production.
• Support the development of real-time rating engines and automated underwriting platforms.
• Analyse portfolio performance, loss ratios, pricing adequacy and underwriting profitability.
• Leverage alternative data sources to improve pricing accuracy and risk segmentation.
• Influence underwriting strategy, product development and pricing innovation.

Modern Actuarial Technology Stack

We are particularly interested in experience across:

• Programming: Python, R, SQL
• Pricing Platforms: Akur8, WTW Radar, Earnix
• Predictive Modelling: GLMs, GAMs, XGBoost, LightGBM, Scikit-learn
• Data Platforms: Snowflake, Databricks
• Cloud: AWS, Azure, GCP
• Engineering: APIs, Git, Docker, CI/CD, MLOps
• Analytics: Machine learning, predictive modelling, model explainability and alternative data

Experience across the entire technology stack is not required.

Experience Required

• Strong P&C pricing experience, ideally within commercial, specialty or technology-led insurance.
• Advanced Python or R skills, with Python preferred.
• Experience developing predictive pricing models and applying machine learning techniques.
• Strong SQL and data analytics capabilities.
• Understanding of algorithmic underwriting and automated pricing environments.
• Ability to collaborate with actuarial, underwriting, data science and engineering teams.
• ACAS/FCAS qualification preferred.
• Experience within an MGA, Insurtech or technology-first insurer advantageous.

Why Join?

• Join an innovative, technology-led P&C underwriting business.
• Develop pricing models that directly influence automated underwriting decisions.
• Work with modern actuarial technology and advanced machine learning.
• Play a key role in scaling a high-growth underwriting platform.
• Significant ownership, technical influence and career progression.
• Healthcare, Bonus and Profit Sharing options.