At M&G, our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.
Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.
Through telling it like it is, owning it now and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.
We will consider flexible working arrangements for any of our roles and offer workplace adjustments to ensure you have the support you need to succeed in your role.
Role Context:
The Investment Risk Analyst - Risk Analytics & Modelling reports to the Head of Investment Risk For Private Markets within the Investment Risk function. The role involves working closely with the Investment Risk team, Technology, and other relevant departments to build and maintain the analytical infrastructure, risk models, and production reporting that underpin investment and credit risk oversight across M&G's funds and mandates.
The role holder will develop and maintain production risk analytics, manage risk data and platform infrastructure, and support the governance of risk models. This is a hands-on technical role that combines risk domain knowledge with modern data engineering and analytics development skills.
Key responsibilities include maintaining risk data pipelines and quality standards; developing and operating production analytics in Python and DataBricks; building and maintaining PowerBI dashboards for governance, CRO reporting, and regulatory obligations; supporting risk model validation and backtesting; and providing analytics advisory services to Investment Risk Specialists.
Key Responsibilities:
- Develop and maintain production risk analytics, risk-owned datasets, and PowerBI dashboards (supporting Investment Risk oversight processes, CRO reporting, and regulatory obligations), ensuring code quality, version control, data accuracy, and adherence to RAM development standards.
- Support risk model governance, including the annual model appropriateness review, monthly VaR backtesting, and impact assessment of Aladdin risk model changes released by BlackRock.
- Provide analytical support for new mandate and instrument onboarding, configuring risk analytics and validating outputs before go-live
- Collaborate closely with Technology to progress data and platform requirements through the software development lifecycle, including defining business requirements, participating in solution design, and leading user acceptance testing from a business perspective.
- Support the wider Investment Risk team in the production of periodic risk reports and dashboards, and undertake ad hoc risk analysis in response to queries from Investment Risk Specialists, fund management, or client/sales teams.
Skills, Knowledge & Experience: - Proven 4 years'+ experience in an investment risk, investment quant analytics, risk technology or a technical business analyst role at an asset management house or other financial services (asset management, banking, or insurance). [Essential]
- Strong Python and SQL skills, production-quality code, data pipelines, query optimisation, and working with large datasets. Experience with version control (Git/Azure DevOps) and disciplined development practices. [Essential]
- Understanding of investment risk concepts: VaR, stress testing, credit risk metrics, leverage, and performance attribution. [Essential]
- Demonstrated ability to collaborate with technology teams through the development lifecycle, writing business requirements, participating in solution design, and leading UAT. [Essential]
- Background in asset management, quantitative finance, or a related field, with a solid understanding of financial markets and fixed income products. [Essential]
- Experience with DataBricks, Spark, or cloud-based analytics platforms, and developing dashboards/reports using PowerBI or comparable tools. [Highly Desired]
- Understanding of derivatives (rates, inflation, credit) - their valuations, risk sensitivities, and how they are represented in risk models. [Highly Desired]
- Familiarity with AI-assisted development tools (e.g. GitHub Copilot) and an interest in applying automation to improve efficiency of risk processes. [Desired]
- Experience with Aladdin (BlackRock) or comparable enterprise risk platforms. Knowledge of UCITS/AIFMD regulatory reporting, leverage calculations, or fund oversight processes. [Desired]
- CFA, FRM, or equivalent qualification (or working towards). [Desired]
Experience Level: Experienced Colleague
Recruiter: Helen Simons
What we offer: We're dedicated to supporting your wellbeing and helping you thrive, both at work and beyond. Our benefits are designed to help you balance your professional and personal life
, and financially plan for the future.
Our UK benefits include:
- A valuable pension scheme of up to 18% (13% made up of employer contributions and 5% employee contributions).
- Access to our Share Save and Share Incentive Plan, alongside financial wellbeing and support services to help give you real confidence to put your money to work.
- Enjoy 38 days annual leave (including bank holidays), with the opportunity to purchase up to five extra days. Our Time Off When You Need It policy gives you the flexibility - to balance work and personal commitments.
- Our market-leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - because supporting families is an important part of our inclusive culture.
- Health & Protection cover includes Private Healthcare, Critical Illness cover and Life Assurance for you, with additional family options - for peace of mind.
To explore more about life at M&G and our full benefits offering, visit
Life at M&G At M&G we strive to have a diverse workforce and an inclusive culture, underpinned by our policies and employee-led networks that offer networking, support and development opportunities for the diverse communities our colleagues represent. We welcome applications from people of all backgrounds - across gender, ethnicity, age, disability, sexual orientation and more - including neurodivergent individuals, career returners and those with military service experi