Job Description
We are open to flexible working arrangements and provide workplace accommodations to support your effectiveness in this role.
Role Overview
The ideal candidate will possess multi-asset knowledge and strong quantitative modelling skills. The position involves technical development work, ongoing business-as-usual tasks, and stakeholder communication.
This permanent role reports to a Risk Modelling Manager and offers a hybrid working model, combining remote work with office presence in Scotland, London, or Mumbai.
The Risk Modelling team handles economic and market-related methods for valuing benefits provided by M&G and the assets backing these liabilities, considering both best estimate and capital requirements for solvency under adverse conditions. Key responsibilities include:
* Annual calibration of market and credit risks, including data collection, analysis updates, and stakeholder presentations.
* Updating Solvency II Matching Adjustment policies and conducting compliance and monitoring exercises.
* Maintaining valuation methodologies for M&G’s lifetime mortgage business in various scenarios.
* Developing and enhancing valuation methodologies and tools, involving research, testing, and communication with finance, IT, and end-users.
* Producing accurate market data reports for internal stakeholders.
* Updating Solvency II Pillar 1 standards to reflect regulatory changes.
* Supporting asset-related reviews and projects.
Key Responsibilities
* Collaborate with colleagues, maintain controls, and improve operational risk management.
* Advance economic and market assumptions for valuation and regulatory capital calculations.
* Innovate, improve processes, and manage stakeholder expectations.
Required Knowledge, Skills & Experience
* Minimum of 3 years’ experience in quantitative modelling within insurance, banking, or asset management sectors.
* Strong knowledge of financial markets and multiple asset classes.
* Solid understanding of statistics and methods like stochastic simulation, VaR, and back-testing.
* Practical experience in Python and/or C++ development.
* Ability to implement pragmatic technical solutions aligned with business needs.
* Proven track record in delivering under pressure and managing competing demands.
* Experience in stakeholder engagement and communication.
* Professional designations such as CFA, FRM, FIA/FFA are advantageous.
* Experience with stochastic model research and development is a plus.
Work Level: Experienced Colleague
At M&G plc, we embrace diversity and foster an inclusive culture through policies and employee networks that support our diverse community. We value talent regardless of gender, ethnicity, age, sexual orientation, nationality, disability, military service, or career breaks.
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