Trainee General Insurance Pricing Actuary

RSA Group; Dublin; On-site; EUR 40,000 - 55,000; Full time

Job summary

RSA Group in Dublin is seeking a Trainee General Insurance Pricing Actuary to support pricing and portfolio management. The role involves developing models, conducting analyses, and contributing to pricing strategy.

The ideal candidate will have a degree in Mathematics or Statistics, advanced Excel skills, and experience with pricing tools. Responsibilities include data validation, trend analysis, and enhancing pricing models.

Qualifications

• Degree or equivalent in Mathematics, Statistics or a quantitative field.
• Advanced proficiency in Excel.
• Experience with pricing tools and programming languages is an advantage.

Responsibilities

• Gather, clean, and validate data from internal and external sources.
• Analyse data to identify trends and performance issues.
• Build maintain and enhance technical pricing models.
• Develop actuarial and statistical models to improve pricing accuracy.
• Prepare reports for technical and non-technical audiences.

Skills

Data analysis

Mathematics

Statistical modeling

Machine learning techniques

Proficiency in Excel

Education

Degree in Mathematics, Statistics or a related field

Tools

EMBlem

Radar

Optimiser

R

Python

SQL

SAS

Job description

Trainee General Insurance Pricing Actuary

Job Ref: 2880

Location: Dundrum - Dublin 16

This role sits within the Personal Lines Pricing & Underwriting Department, working alongside a team of actuaries, underwriters and analysts. You will support pricing and portfolio management by developing models, conducting actuarial analyses, and contributing to pricing strategy and risk monitoring.

Key Responsibilities

Data & Analysis

• Gather, clean and validate data from internal and external sources in line with data, regulatory, and reporting standards.
• Analyse data to identify trends, anomalies and performance issues, escalating insights where appropriate.
• Support review of key MI (claims trends, loss ratios, COR, retention, conversion, business mix).
• Perform scenario analysis to assess the impact of rate changes on profitability and customer metrics.
• Build, maintain and enhance technical pricing models in line with business needs and Group/Regional guidelines.
• Develop actuarial and statistical models, including machine learning techniques such as gradient boosting, to improve pricing accuracy.
• Work with actuarial colleagues to ensure pricing assumptions, methodologies and outputs are appropriate and robust.
• Contribute to claims trending analyses, new pricing techniques and continuous improvement initiatives.
• Prepare clear, timely reports and presentations for both technical and non-technical audiences.
• Build strong working relationships across underwriting, actuarial, analytics and other key teams.
• Ensure that pricing decisions consider customer impact and align with Intact Insurance Ireland's Personal Lines Pricing Policy and broader risk management frameworks.
• Support business change activities and corporate projects by providing accurate models, forecasts and insights.

Quality & Governance

• Ensure all work is accurate, reliable and "fit for purpose," with suitable documentation and validation.
• Maintain compliance with regulatory, data governance and internal policy requirements.

Requirements

• Degree (or equivalent) in Mathematics, Statistics or a related quantitative field.
• Advanced proficiency in Excel.
• Experience with pricing tools (e.g., EMBlem, Radar, Optimiser) and programming languages (R, Python, SQL, SAS) is an advantage.
• Based in Dublin.

Regulatory Requirements

• If this role is defined as a "controlled function" by the Central Bank Reform Act 2010 Regulations 2011. Any appointment will be conditional on the company being satisfied that you meet the requirements as set out in the Fitness & Probity standards issued in this Act.

Intact Insurance Ireland DAC and its affiliate companies consider applicants on the basis of qualifications and without regard to race, colour, religion, sex, national origin, age, marital or veteran status, sexual orientation, disability or any other legally protected status