At a Glance
- Tasks: Develop and maintain risk analytics, dashboards, and support investment risk oversight.
- Company: Join M&G plc, a leader in asset management with over 175 years of innovation.
- Benefits: Flexible working arrangements, wellbeing support, and a balanced work-life culture.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact in investment risk while developing your technical skills.
- Qualifications: 4+ years in investment risk or analytics, strong Python and SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
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:
- 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
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.
Investment Risk Analyst - Risk Analytics & Modelling - M&G plc. employer: eFinancialCareers
Quilter plc is an exceptional employer, offering a dynamic work environment in Southampton where innovation and collaboration thrive. With a strong commitment to employee growth, comprehensive benefits including a generous holiday allowance and a non-contributory pension scheme, Quilter fosters a culture of inclusivity and continuous improvement, empowering employees to make meaningful contributions to the financial futures of their clients and communities.
StudySmarter Expert Advice🤫
We think this is how you could land Investment Risk Analyst - Risk Analytics & Modelling - M&G plc.
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We think you need these skills to ace Investment Risk Analyst - Risk Analytics & Modelling - M&G plc.
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