Senior Analyst in Risk Modelling

3 weeks ago


Edinburgh, Edinburgh, United Kingdom M&G Full time

We embrace flexible working arrangements for all our positions and provide workplace accommodations to ensure you have the necessary resources to excel in your role.

Position Overview

The ideal candidate will possess extensive knowledge across multiple asset classes and strong quantitative modelling capabilities. This role encompasses a blend of technical responsibilities (including development tasks and routine operations) and collaboration with various stakeholders.

This is a permanent role, reporting to a Risk Modelling Manager, with a hybrid working model that includes both remote work and office presence.

The Risk Modelling team plays a crucial role in developing economic and market-related methodologies and assumptions used to assess the value of benefits provided to clients and the assets backing these liabilities, both on a best estimate basis and for additional capital reserves needed to ensure solvency during adverse conditions. Specifically, the responsibilities include:

Conducting the annual calibration of market and credit risks, along with the interdependencies between these risks, which involves data collection, analysis updates, understanding changes, rationalizing judgments, and presenting conclusions to senior stakeholders. Updating the Solvency II Matching Adjustment policies owned by the team and executing compliance and monitoring tasks required by these policies. Maintaining the valuation methodology for M&G's lifetime mortgage business under both normal and stressed conditions. Engaging in ongoing development of methodologies and tools that support the calibrations, which includes research, implementation of enhancements, testing, and communication. Implementing new risk models necessitates collaboration with Finance colleagues and IT developers who manage the underlying systems, as well as the end users of these tools. Producing regular market data reports, ensuring timely and accurate delivery to users across M&G. Updating the Solvency II Pillar 1 Group-wide Operating Standards for generating Solvency II Own Funds and regulatory capital, ensuring alignment with changes in the regulatory landscape. Supporting various asset-related reviews and projects.

Key Responsibilities

Collaborate effectively with colleagues and take ownership of enhancing controls to support improvements in the overall control environment, customer outcomes, and reduction of operational risk. Continue developing economic and market-related methodologies and assumptions for valuing options and guarantees, as well as calculating regulatory capital. Ensure proper governance is maintained. Generate innovative ideas, improve existing processes, and manage stakeholder expectations.

Required Knowledge, Skills & Experience

Bachelor's, Master's, or PhD in a quantitative discipline such as mathematics, computer science, or actuarial science. A minimum of 3 years' experience in quantitative modelling within the insurance, banking, or asset management sectors. Strong understanding of financial markets. Familiarity with multiple asset classes. Proficient in statistics and statistical methodologies (e.g., stochastic simulation, VaR methodology, and back-testing). Practical experience in development using Python or C++. Ability to implement innovative technical solutions that align with business needs and provide analytical support. Proven track record of successful delivery in high-pressure environments with the capacity to manage competing priorities. Experience in building productive relationships with key stakeholders. Proficient in presenting findings and results, with an understanding of audience-specific communication needs. Professional qualifications such as CFA, FRM, or FIA/FFA are advantageous. Experience in researching and developing stochastic models is a significant plus.

Work Level: Experienced Colleague

We pride ourselves on having a diverse workforce and an inclusive culture at M&G plc, supported by our policies and employee-led networks that offer networking opportunities, advice, and support for the diverse communities represented by our colleagues. We are committed to attracting, promoting, and retaining exceptional talent, regardless of gender, ethnicity, age, sexual orientation, nationality, or disability. We also welcome individuals who have served in the military and those returning from career breaks.


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