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:
- 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.
- 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.
- 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.
