Risk Analyst - Asset Management

Analyst (or Senior Analyst)

This role is ideal for someone who combines strong analytical skills, a sound understanding of capital markets and risk concepts, and the ability to engage with data and models at a technical level. 

Key Responsibilities:

1. Daily Risk Production Support

• Oversee the daily risk production cycle, including validation and investigation of portfolio exposures, sensitivities, and risk metrics.
• Troubleshoot data and model issues, liaising with technology, data, and investment teams as needed.
• Improve production processes and controls to enhance accuracy, efficiency, and transparency.

2. Risk Analytics Support

• Use the enterprise risk system to perform portfolio-level and asset-level analysis across asset classes.
• Partner with stakeholders to respond to ad-hoc risk analysis requests, provide quantitative insight into exposures, risk drivers, or stress results.
• Support recurring Total Plan or asset-class risk deliverables by performing deep-dive analytics using the risk platform, including scenario testing and factor decomposition.
• Contribute to the development and implementation of new risk methodologies or enhancements within the system.

3. Risk Model Implementation

• Support the onboarding and maintenance of risk models used in MSCI RiskManager or similar platforms.
• Collaborate with model owners and risk partners to ensure appropriate model selection and performance monitoring.
• Contribute to the design of model governance practices, issue tracking, and resolution procedures.

Qualifications & Experience:

• Education:

  University degree in a quantitative discipline (e.g., Finance, Engineering, Math, Statistics, Economics). Advanced degree or financial designation (e.g., CFA, FRM) is a strong asset.

• Experience:

  2–4 (analyst) 3-7 (senior analyst) years of relevant experience in risk management, quantitative analytics, or investment reporting, ideally in a pension fund, asset manager, or financial institution.

• Tools & Systems:

  • Strong proficiency with

    Python

    for data manipulation and testing analytics.
  • Working experience with various

    systems

    such as MSCI RiskManager,    Bloomberg, or Aladdin is highly valued.
  • Strong understanding of portfolio risk concepts including factor models, stress testing, VaR, and risk decomposition.

• Knowledge:

  • Strong understanding of capital markets and various financial instruments, including derivatives.