Quantitative Analyst – Risk Research – Analysis – And Measurement
| Company | Capital Group |
|---|---|
| Location | San Francisco, CA, USA, Los Angeles, CA, USA, Culver City, CA, USA, New York, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Expert or higher |
Requirements
- Minimum of 10 years relevant experience in investment risk research, analysis and modeling.
- Advanced degree (MFE, MSc, PhD) in Economics, Finance/Financial Engineering, Statistics, Mathematics or a related quantitative discipline.
- Demonstrated strong risk modeling experience and empirical skills using investment risk analytical platforms (e.g. MSCI BarraOne, BlackRock Aladdin), statistical packages (e.g. R) and coding languages (e.g. Python).
- Ability to anticipate emerging risks and translate complex analysis into clear, actionable recommendations.
- Collaborative leader who thrives in agile cross-functional teams and can influence stakeholders at all levels.
- Creative problem solver with a proactive approach, always looking for new ways to enhance risk analysis.
- Strong and open communicator who can distill complex risk insights into compelling narratives for investment and oversight teams.
Responsibilities
- Develop and enhance risk methodologies and frameworks, monitoring processes, and portfolio risk assessments across equity, fixed income, and multi-asset strategies.
- Conduct quantitative and qualitative analyses to inform investment risk decisions, proactively identifying new ways to evaluate risk.
- Work closely with investors and investment governance bodies to understand and incorporate risk metrics and methodologies in the Capital System TM.
- Partner with business management teams, client group, and technology teams to develop tools, frameworks, and strategic initiatives that advance risk capabilities.
- Represent Capital Group’s risk practices in internal and external meetings, educate stakeholders on risk methodologies, and ensure alignment with industry standards.
- Act as a thought leader within RAM and the larger Quantitative Research & Analytics group (QRA), stay up to date with academic and industry research, mentor colleagues and drive organizational growth.
Preferred Qualifications
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No preferred qualifications provided.