THE OPPORTUNITY
Actuarial Analyst
Company:
IGI - International General Insurance Co. Ltd.
Location:
London
Employment type:
['Full Time']
About the Job
Job Summary This role is part of the Actuarial function, which covers exposure, capital, pricing, and reserving under the Group Chief Actuary. You will assist the Cat Manager (within exposure management) for Cat exposures and Cat modelling. The position involves supporting the end-to-end Cat modelling process, including data capture, pre-underwriting catastrophe analytics, portfolio aggregation, and internal reporting.Development Opportunities:
• First hand exposure to cat modelling workflows, methodologies, analytics and exposure management.
• Insight into how cat modelling supports business strategy and risk management.
• Mentorship and informal learning from experienced professionals. Job Description
Company Description
IGI - International General Insurance Co. Ltd. is a leading international specialist commercial insurer and reinsurer with a global portfolio of Energy, Property, Construction & Engineering, Ports & Terminals, Marine, Financial Institutions, General Aviation, Professional Indemnity, Casualty, Directors’ and Officers’, Legal Expenses, Political Violence, Contingency and Treaty Reinsurance. Registered in Bermuda as a limited liability company, with operational headquarters in Amman, Jordan and offices in London, Malta, Bermuda, Norway, Dubai, Kuala Lumpur and Casablanca, we aim to deliver outstanding levels of service to our clients and brokers. Our ratings reflect the financial strength of our business: “A” (Stable) from AM Best; “A-” (Stable) from S&P. In 2024, we had net earnings of $135.2 million. Our holding company has assets in excess of $2,037.6 million, as of 31 December 2024.
Key Responsibilities
Develop a strong knowledge of Cat modelling methodologies and vendor models.
Assist the Capital team with internal and external reporting.
Support the wider Exposure team (based in Amman) in understanding catastrophe exposures and modelled loss estimates.
Clearly communicate insights, findings, and recommendation to various stakeholders.
Maintain and enhance the Cat exposure modelling process.
Assist the Cat Manager in monthly roll-ups, producing Cat exposure and modelling reports for all relevant peril regions.
Deliver event responses to the business.
Become familiar with Verisk database data and be able to write SQL scripts.
Key Attributes & Professional Qualifications
Essential:
A degree in Science, Mathematics, Statistics, Engineering, or a related discipline.
Strong interest in insurance and natural hazards.
Strong technical problem-solving skills and the ability to interpret exposure and loss metrics.
Familiarity with insurance and reinsurance terminology.
Eagerness to learn through observation and discussion.
Good communication and interpersonal skills.
Solid foundation in mathematics, probability, and statistical analysis.
Knowledge of at least one programming language (e.g. R, Python, VBA)
Proficiency in Microsoft Suite, with strong skills in Excel.
Desirable:
Interest in pursuing actuarial exams or membership with the IFoA.
Experience with SQL and data visualisation tools such as Power BI.
Proficiency in Verisk Touchstone.
Knowledge of Cat modelling methodologies
Conduct Rules
SMCR was introduced by the Financial Conduct Authority (FCA), includes a set of Conduct Rules that apply to most employees in UK financial services firms. These rules aim to improve individual accountability and promote a healthy culture across the industry.
Individual Conduct Rules
These are the core five rules that apply to all employees
Act with integrity
Act with due skill, care and diligence
Be open and cooperative with the FCA, PRA, and other regulators
Pay due regard to the interests of customers and treat them fairly
Observe proper standards of market conduct
At The Hidden Market we're committed to Equality, Diversity and Inclusion, read our policy here. We inform clients that candidates should be evaluated on merit of their skills, experience and commercial attributes in relation to the role, and not background, disability, race, age, gender, sexual orientation, education, or any other discriminatory factor.