
Strategic Quantitative Innovator
2 weeks ago
We are seeking a highly skilled Quantitative Strategy Lead to join our team. As a key member of our organization, you will be responsible for overseeing a team of quantitative professionals and driving research and analysis on a diverse range of external fund managers and investment strategies.
- To develop the team's expertise in leveraging data, quantitative techniques, and AI/ML methodologies to deliver comprehensive, data-driven insights and evidence-based recommendations.
- To enhance and innovate across various stages of the investment process by applying quantitative and AI/ML tools, thereby expanding our capabilities in scale, depth, and performance.
Key Responsibilities:
- Serve as a strategic thought partner to department and investment leaders, leveraging data, quantitative techniques, and AI/ML methods to enhance investment processes, shape the department's analytical capabilities, and conduct research focused on capital allocations, portfolio construction, optimization, and risk management.
- Lead and manage quantitative research and analysis across the entire investment process, from manager screening and selection to strategy due diligence and portfolio construction, ensuring high research quality and timely delivery.
- Oversee and govern the implementation of models, analysis, and tools to ensure alignment with best practices and team-wide infrastructure, while managing the team's model and analytics operations.
- Facilitate the sharing and cross-pollination of quantitative applications, analysis, and tools across departments, while providing macro-level insights to the team.
- Education: A Master's or Doctoral degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Economics.
- Experience: 8-12 years of relevant experience in quantitative research and analysis, with a strong emphasis on applying quantitative methods and AI/ML techniques in capital allocation, portfolio construction, optimization, and risk management.
- Skills: Proficiency in programming languages such as R or Python, along with SQL.
The successful candidate will have the opportunity to work in a dynamic environment, collaborating with a talented team of professionals. We offer competitive compensation packages and opportunities for growth and development.
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