Investment Risk Analytics Engineer: Production Dashboards

Investment Risk Analytics Engineer: Production Dashboards

Full-Time 54000 - 66000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build and maintain risk models and dashboards using PowerBI.
  • Company: Join M&G, a leading investment firm with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on career advancement.
  • Why this job: Make an impact in investment risk analytics while developing your technical skills.
  • Qualifications: Experience in data engineering and analytics development is essential.

The predicted salary is between 54000 - 66000 Β£ per year.

M&G invites applications for an Investment Risk Analyst – Risk Analytics & Modelling in the UK.

The role focuses on building and maintaining analytical infrastructure, risk models, and production reporting across funds and mandates.

You will develop risk analytics pipelines, validate outputs, and produce governance dashboards in Power BI, working closely with Technology and Investment Risk teams.

A hands-on role with data engineering and analytics development responsibilities.

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Investment Risk Analytics Engineer: Production Dashboards employer: CFA Institute

At SMBC Group, we pride ourselves on being an excellent employer, offering a dynamic work environment that fosters professional growth and innovation. Our commitment to employee well-being is reflected in our competitive benefits, including hybrid working options, comprehensive health support, and extensive learning opportunities, all within a diverse and inclusive culture. Join us in London to be part of a team that not only drives financial success but also contributes to a sustainable future for our clients.

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Contact Details:

CFA Institute Recruitment Team

We think you need these skills to ace Investment Risk Analytics Engineer: Production Dashboards

Problem-Solving Skills
Communication Skills
SQL
Python
Data Pipeline Development
Automation
Attention to Detail