Investment Risk Analytics Engineer

M&G; Greater London; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Pension up to 18%

Share Save/Share Incentive Plan

38 days annual leave + top-up days

Parental leave policy

Private Healthcare

Job summary

M&G is seeking an Investment Risk Analyst in London to develop and maintain production risk analytics, data pipelines, and dashboards supporting governance and reporting across private markets and funds.

You will work closely with Investment Risk, Technology, and other stakeholders to validate outputs, participate in model governance, and backtest risk models. Strong Python/SQL and DataBricks experience are required.

Qualifications

• 4+ years in investment risk or technical analytics at an asset manager or financial services
• Strong Python and SQL, production-quality code, data pipelines, and version control practices
• Understanding of VaR, stress testing, leverage and risk metrics
• Experience collaborating with technology through the full development lifecycle and leading UAT
• Background in asset management or quantitative finance with market knowledge
• DataBricks/Spark or cloud analytics and dashboards with PowerBI or similar tools
• Derivatives valuations and risk sensitivities understanding
• CFA/FRM or equivalent is desirable

Responsibilities

• Develop and maintain production risk analytics and risk-owned datasets
• Build and operate risk analytics pipelines and dashboards for governance and reporting
• Support risk model governance, backtesting, and model changes with BlackRock Aladdin
• Collaborate with Technology across the SDLC and lead business UAT
• Produce ad hoc risk analysis and dashboards for stakeholders and fund management

Skills

Python

SQL

Git/Azure DevOps

Data pipelines

Risk analytics

Education

CFA/FRM or equivalent

Tools

DataBricks

PowerBI

Aladdin

Job description

M&G is seeking an Investment Risk Analyst in London to develop and maintain production risk analytics, data pipelines, and dashboards supporting governance and reporting across private markets and funds.

You will work closely with Investment Risk, Technology, and other stakeholders to validate outputs, participate in model governance, and backtest risk models. Strong Python/SQL and DataBricks experience are required.