Risk Modelling Senior Analyst

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We will consider flexible working arrangements for any of our roles and also offer workplace accommodations to ensure you have what you need to effectively deliver in your role.

Role

The individual should ideally bring multi-asset knowledge and quantitative modelling skills. The role will include a mixture of technical work (development work and business-as-usual) and communication with various stakeholders.

This is a permanent position, reporting to a Risk Modelling Manager, with a blended approach between working from home and our offices in Scotland, London, or Mumbai.

About the Team

The wider Risk Modelling team is responsible for economic and market-related methods and assumptions used to value the benefits that M&G provides to customers and the assets backing these liabilities, both on a best estimate basis and for additional capital to protect solvency under adverse events. Key responsibilities include:

• The annual calibration of market and credit risks, including data collection, analysis, understanding changes, rationalising judgments, and presenting findings to senior stakeholders.
• The refresh of Solvency II Matching Adjustment policies and compliance monitoring.
• Maintaining the methodology for valuing M&G’s lifetime mortgage business in base and stressed conditions.
• Ongoing development of methodologies and tools, involving research, implementation, testing, and communication, with interaction across finance, IT, and end-users.
• The production of market data reports for end users.
• The update of Solvency II standards to reflect regulatory changes.
• Supporting other asset-related reviews and projects.

Key Responsibilities

• Collaborate with colleagues and maintain control environments to improve customer outcomes and reduce operational risks.
• Develop economic and market-related methods for valuing options, guarantees, and calculating regulatory capital.
• Innovate, improve processes, and manage stakeholder expectations.

Knowledge, Skills & Experience

• 3+ years’ experience in quantitative modelling within insurance, banking, or asset management.
• Strong knowledge of financial markets and multiple assets.
• Understanding of statistics and methods like stochastic simulation, VaR, and back-testing.
• Practical experience in Python / C++ development.
• Ability to implement pragmatic technical solutions supporting business needs.
• Proven ability to deliver under pressure and manage competing demands.
• Experience building relationships with stakeholders and communicating findings effectively.
• Professional designations such as CFA, FRM, FIA/FFA are advantageous.
• Experience in stochastic model research and development is a plus.

Work Level: Experienced Colleague

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