We are looking for an Analyst (or Senior Analyst) to join our growing Risk Analytics team. This individual will play a hybrid role supporting:
Daily risk production support ensuring the timely and accurate delivery of risk metrics.Risk analytics support conducting in-depth analysis on portfolio and market risks using our enterprise risk platform (e.g., MSCI RiskManager).Risk model implementation contributing to product onboarding, governance, and enhancements aligned with investment strategies and asset characteristics.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: 24 (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.
