Investment Risk Analyst - Risk Analytics & Modelling

Posted 6 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Fintech • Financial Services
The Role
Develops and maintains investment risk analytics, datasets, data pipelines, models, and Power BI reporting. Supports VaR backtesting, model governance, risk validation, mandate and instrument onboarding, regulatory reporting, and ad hoc analysis. Collaborates with Technology on requirements, solution design, software development, and user acceptance testing. Requires strong Python, SQL, investment risk, quantitative finance, financial markets, and fixed-income expertise, with Databricks, Spark, derivatives, Aladdin, and regulatory reporting experience preferred.
Summary Generated by Built In

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 experience.


M&G is proud to be Level 3: Disability Confident Leader under the UK Government Disability Confident employer scheme, and we welcome applications from candidates with disabilities and long-term health conditions. If you would like to participate in the initiative, you will have the opportunity to indicate this on your application.


We are committed to providing an inclusive recruitment process. All candidates have the opportunity to request reasonable adjustments when applying. If you need any additional support at any stage, please contact us at: [email protected]

Skills Required

  • 4+ years of experience in investment risk, investment quantitative analytics, risk technology, or technical business analysis within asset management or financial services
  • Strong Python and SQL skills, including production-quality code, data pipelines, query optimization, and large datasets
  • Experience with version control such as Git or Azure DevOps and disciplined development practices
  • Understanding of investment risk concepts, including VaR, stress testing, credit risk metrics, leverage, and performance attribution
  • Experience collaborating with technology teams through the development lifecycle, including business requirements, solution design, and UAT leadership
  • Background in asset management, quantitative finance, or a related field
  • Solid understanding of financial markets and fixed-income products
  • Experience with Databricks, Spark, or cloud-based analytics platforms
  • Experience developing dashboards and reports using Power BI or comparable tools
  • Understanding of derivatives, including rates, inflation, and credit products, valuations, risk sensitivities, and risk-model representation
  • Familiarity with AI-assisted development tools such as GitHub Copilot and interest in process automation
  • Experience with Aladdin or comparable enterprise risk platforms
  • Knowledge of UCITS or AIFMD regulatory reporting, leverage calculations, or fund oversight processes
  • CFA, FRM, equivalent qualification, or progress toward one

M&G Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about M&G and has not been reviewed or approved by M&G.

  • Retirement Support Pension support in the UK is presented as notably generous versus typical market norms and is positioned as a core part of total reward. Formal materials also highlight share plans and financial‑wellbeing tools alongside pension value.
  • Leave & Time Off Breadth Annual leave in the UK is described as substantially above statutory norms with the option to purchase additional days. Additional flexibility is referenced through policies such as “Time Off When You Need It.”
  • Parental & Family Support Parental policies (e.g., “Inspiring Families”) are characterized as extensive, including long fully paid leave and phased return‑to‑work support. External recognition is cited as reinforcing family support as a distinctive element of the package.

M&G Insights

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The Company
HQ: London
2,729 Employees

What We Do

M&G plc is a leading international savings and investments business, managing money for around 4.6 million individual clients and more than 900 institutional clients in 38 offices worldwide. As at 31 December 2023, we had £343.5 billion of assets under management and administration. Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, M&G plc has a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our three distinct operating segments, Asset Management, Life and Wealth, work together to provide access to balanced, long-term investment and savings solutions.

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