Lead Quantitative Researcher - Investment Risk


New York
Permanent
USD200000 - USD300000
Quantitative Analytics Research and Trading
PR/551563_1756129199
Lead Quantitative Researcher - Investment Risk
Title: Lead Quantitative Researcher - Investment Risk
Location: New York, Los Angeles, or San Francisco
A leading global asset manager with multi-trillion dollars in assets under management is seeking a senior quantitative researcher to lead investment risk initiatives within a high-performing, collaborative team of 40 researchers. This role is central to shaping the firm's long-term risk strategy across equity, fixed income, and multi-asset portfolios.
You'll be responsible for advancing the firm's risk analytics through rigorous research, innovative modeling, and strategic collaboration. The position offers a unique opportunity to influence investment decisions and governance by embedding sophisticated risk insights into the investment process.
Core Responsibilities:
  • Lead Risk Research & Development: Build and refine models and frameworks that assess and monitor portfolio risk across asset classes.
  • Generate Strategic Insights: Conduct deep analytical work, both quantitative and qualitative, to uncover new approaches to evaluating investment risk.
  • Shape Investment Oversight: Work closely with investment professionals and governance teams to integrate risk thinking into portfolio construction and oversight.
  • Collaborate Across Functions: Partner with business, client, and technology teams to develop tools and initiatives that enhance the firm's risk capabilities.
  • Promote Transparency & Education: Represent the firm's risk practices in internal and external settings, helping stakeholders understand methodologies and align with industry standards.
  • Contribute to Leadership & Culture: Mentor peers, influence strategic direction, and actively engage in the firm's values-driven culture.
Candidate Profile:
  • At least 10 years of experience in investment risk research, modeling, and analytics.
  • PhD strongly preferred (or equivalent advanced degree) in a quantitative discipline such as Financial Engineering, Economics, Statistics, or Mathematics.
  • Demonstrated expertise in developing innovative risk models and exploring complex, open-ended research questions with clarity and rigor.
  • Hands-on experience with industry-standard platforms (e.g., MSCI BarraOne, BlackRock Aladdin), statistical tools, and programming languages (e.g., Python).
  • Strategic mindset with the ability to anticipate emerging risks and translate analysis into actionable recommendations.
  • Strong communicator who can distill complex technical insights into clear narratives for diverse audiences.
  • Collaborative leader who thrives in agile, cross-functional environments and can influence across levels.
  • Proactive problem solver with a passion for advancing risk analytics and contributing to a culture of excellence.

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