Investment Structuring Analyst - Insurance

Orange Malone; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

An international life insurer is seeking an Investment Structuring Analyst to join its London office. The role involves optimising asset portfolios under various regulations and developing Python-based analytical tools. The ideal candidate should have a quantitative degree, strong Python and SQL skills, and ideally experience in ALM or quantitative modelling. This position offers the chance to enhance investment tools and produce asset cash flow projections while working closely with various teams.

Qualifications

• Experience in ALM or quantitative modelling within banking or insurance is ideally preferred.
• Knowledge of asset & liability modelling and interest rate derivatives is a plus.
• Part-qualified actuary or CFA with 2-4 years of experience is preferred.

Responsibilities

• Optimise asset returns on capital under multiple regulatory frameworks.
• Develop and maintain Python tools, improving accuracy and operational efficiency.
• Build and maintain model office scripts to transform financial data for analysis.
• Enhance investment tools and processes, working closely with the Data & Analytics team.
• Support collaboration with investment sub-teams and finance.
• Produce asset cash flow projections for private assets.
• Contribute to strategic projects as required.

Skills

Python programming

SQL database skills

Stakeholder management

Collaboration skills

Education

Degree or postgraduate qualification in a quantitative discipline

Tools

Python tools

Job description

International Life Insurance – London Based

An international life insurer is seeking an Investment Structuring Analyst to join its London office. The successful candidate will optimise asset portfolios under Bermudan and European insurance regulations, develop and administer Python-based analytical tools, and support the creation and modelling of efficient asset structures and derivative hedging instruments.

Key Responsibilities

• Optimise asset returns on capital under multiple regulatory frameworks.
• Develop and maintain Python tools, improving accuracy and operational efficiency.
• Build and maintain model office scripts to transform financial data for analysis.
• Enhance investment tools and processes, working closely with the Data & Analytics team.
• Support collaboration with investment sub-teams and finance.
• Produce asset cash flow projections for private assets.
• Contribute to strategic projects as required.

Requirements

• Degree or postgraduate qualification in a quantitative discipline.
• Ideally you’ll have experience in ALM or quantitative modelling within banking or insurance.
• Strong Python programming and SQL database skills.
• Knowledge of asset & liability modelling and interest rate derivatives.
• Self‑motivated, with excellent stakeholder management and collaboration skills.

Ideally you’ll be a part-qualified actuary/CFA with 2-4 years of experience. Please get in touch for more information.