Actuarial Pricing Analyst

SUMMARY:
Ready to price the future? Join a team that’s blending actuarial science with cutting-edge AI to transform how short-term insurers think about risk and pricing. If you’re passionate about numbers, models, and innovation, then this one’s for you.

POSITION INFO:
Our client is a forward-thinking actuarial technology and consulting firm, pioneering AI-powered solutions for the non-life insurance industry. They are reshaping pricing and risk assessment by merging deep actuarial expertise with artificial intelligence.

As an Actuarial Pricing Analyst, you’ll work alongside leading experts to design, test, and implement advanced pricing models that outperform traditional approaches while meeting the highest actuarial and regulatory standards. This is your chance to be part of a dynamic, fast-growing team where your skills will have an immediate and visible impact.

Key Responsibilities:

• Develop and enhance pricing models for short-term insurance products.
• Analyze complex insurance datasets to extract insights that improve pricing accuracy.
• Support client projects by providing technical actuarial input.
• Contribute to model validation, governance, and documentation.
• Stay ahead of regulatory, industry, and technological developments.

• Nearly or newly qualified Actuary (ASSA).
• Prior experience in short-term insurance pricing (essential).
• Proficiency in actuarial/statistical modeling techniques (GLMs, etc.).
• Strong coding skills in R, Python, or similar.
• Excellent communication and problem-solving ability.
• Interest in AI/machine learning applications in insurance.

• Exposure to machine learning techniques.
• Knowledge of data visualization tools.
• Experience with big data or cloud platforms.

• Be part of a start-up-style team pushing the boundaries of actuarial science.
• Work on projects where your input directly shapes outcomes.
• Enjoy flexible working arrangements and a competitive package.
• Play a role in building the next generation of insurance pricing solutions.

• Actuarial roles (Life, Short-Term, Health, Pensions, and Quantitative)
• Data Scientists / Data Analysts (Python, R, SQL, and Machine Learning)
• Risk Analysts (Credit, Market, Model Risk, and Operational)
• Pricing Specialists (Insurance and Financial Products)
• Machine Learning & AI Data Scientists (ML Ops, NLP, and Predictive Modelling)
• Quantitative Specialists across Banking, Insurance, and FinTech