Sr. Quantitative Researcher - Investment Portfolio Risk
Team: Strategic Risk Research & Investment Analytics
Company: Leading Global Asset Manager
A leading global asset manager is seeking a Senior Quantitative Researcher to join its Strategic Risk Research & Investment Analytics team. This is a high-impact role for a quantitative expert who thrives on solving complex, open-ended investment problems and building innovative frameworks that shape how risk is understood and managed across portfolios.
- Design Strategic Risk Frameworks: Develop and implement forward-looking, theory-based frameworks that support investment decision-making across equity, fixed income, and multi-asset portfolios.
- Partner with Investment Leaders: Collaborate directly with portfolio managers and investment teams to understand strategies, identify risk-related challenges, and co-develop practical, scalable solutions.
- Lead Quantitative Research Initiatives: Conduct rigorous, peer-reviewed research to uncover insights that inform portfolio construction, scenario analysis, and risk oversight.
- Advance Analytical Capabilities: Build and enhance tools and methodologies using platforms like BlackRock Aladdin and programming languages such as Python and MATLAB.
- Shape Risk Thinking Across the Firm: Represent the team in internal strategy discussions, contribute to the evolution of the firm's risk philosophy, and ensure alignment with industry best practices.
- Mentor and Influence: Serve as a thought leader within the broader quantitative research community, mentor junior talent, and help drive the team's growth and innovation agenda.
- 10+ years of experience in investment risk research, portfolio analytics, or quantitative research roles.
- Advanced degree (MFE, MSc, PhD) in a quantitative discipline such as Financial Engineering, Economics, Statistics, Mathematics, or related fields.
- Strong foundation in financial theory and portfolio risk concepts, with a proven ability to apply them in investment contexts.
- Proficiency in Python, MATLAB, and experience with investment risk platforms such as BlackRock Aladdin.
- Demonstrated ability to solve open-ended, unstructured problems and translate them into scalable, actionable frameworks.
- Excellent communication skills with the ability to distill complex quantitative insights into clear, compelling narratives.
- Collaborative and proactive mindset, with experience influencing cross-functional teams and senior stakeholders.
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