Risk Modelling Senior Analyst

M&G; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading financial services firm is seeking an experienced colleague for a permanent position in Risk Modelling. This role involves technical work, stakeholder collaboration, and a focus on quantitative modeling and economic analysis. Applicants should have substantial experience in finance, expertise in Python and C++, and a proactive approach to problem-solving in a fast-paced environment.

Qualifications

• 3+ years' experience in quantitative modeling.
• Knowledge of financial markets and multiple assets.
• Experience developing stochastic models is a plus.

Responsibilities

• Collaborate and maintain controls to support improvement.
• Develop economic and market methods for valuation.
• Generate new ideas and improve existing processes.

Skills

Quantitative modeling

Financial markets

Statistics

Python

C++

Stakeholder management

Education

CFA

FRM

FIA/FFA

Job description

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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.

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

• The annual calibration of market and credit risks, and the dependency structure between risks, including data collection, analysis updates, understanding changes, rationalising judgments, and presenting conclusions to senior stakeholders.
• The refresh of team-owned Solvency II Matching Adjustment policies and the performance of compliance and monitoring exercises required by these policies.
• Maintaining the methodology for valuing M&G’s lifetime mortgage business in base and stressed conditions.
• Undertaking ongoing development to the methodology and tools underpinning the calibrations, involving research, implementation, testing, and communication. Interaction with Finance, IT developers, and end-users is essential for implementing new risk models.
• The production of regular market data packs, ensuring accurate and timely reports for end users.
• The refresh of Solvency II Pillar 1 Group-wide Operating Standards for the production of Solvency II Own Funds and regulatory capital, keeping these standards current with regulatory changes.
• Supporting other asset-related reviews and projects.

Key Responsibilities for this role

• Collaborate with colleagues and maintain controls to support improvement of the control environment, customer outcomes, and reduce operational risk.
• Develop economic and market-related methods and assumptions used for valuing options, guarantees, and calculating regulatory capital.
• Generate new ideas, improve existing processes, and manage expectations.

Key Knowledge, Skills & Experience

• 3+ years’ experience in quantitative modelling within insurance, banking, or asset management.
• Good knowledge of financial markets and multiple assets.
• Understanding of statistics and methods such as stochastic simulation, VaR, and back-testing.
• Practical experience in Python / C++ development.
• Ability to implement pragmatic technical solutions aligning with business needs and supporting analysis.
• Proven track record of successful delivery under pressure with competing demands.
• Experience building relationships with stakeholders and presenting findings effectively.
• Professional designations such as CFA, FRM, FIA/FFA are advantageous.
• Research and development experience with stochastic models is a strong plus.

Work Level: Experienced Colleague

We value diversity and inclusion at M&G plc, supporting our policies and employee-led networks that promote networking, advice, and support for our diverse workforce. We welcome applicants regardless of gender, ethnicity, age, sexual orientation, nationality, disability, military service, or career breaks.