Lead Quantitative Researcher
Studio Management | Hybrid / Remote (EST Hours)
About Us:
Studio Management is a technology-driven investment management firm focused on long-short equity strategies in technology and consumer retail. We combine traditional fundamental analysis with cutting-edge alternative data approaches to generate alpha. Studio has a proven track record of investing in public equities, posting 5-year returns that are in the top 1% of all hedge funds.
Role Overview:
We're seeking an exceptional Lead Quantitative Researcher to build and lead our quantitative research team. This role will be instrumental in developing our alternative data capabilities and creating scalable systems for data-driven investment decisions.
Key Responsibilities:
- Lead the development and implementation of quantitative research strategies, with a particular focus on alternative data applications in equity markets
- Build and manage a team of quantitative researchers and data scientists
- Design and oversee the development of robust research infrastructure and tools
- Collaborate closely with portfolio managers and fundamental analysts to integrate quantitative insights into the investment process
- Develop novel approaches to extract actionable signals from alternative data sources
- Create and maintain rigorous backtesting frameworks to validate investment hypotheses
- Guide the team in implementing production-quality code and maintaining research systems
Required Qualifications:
- Advanced degree in Computer Science, Mathematics, Physics, or related quantitative field from a top institution
- 8+ years of experience in quantitative research roles at leading investment firms
- Deep expertise in statistical modeling, machine learning, and financial markets
- Strong programming skills in Python and experience with high-performance computing
- Proven track record of leading successful quantitative research initiatives
- Experience managing and mentoring technical teams
- Excellence in communicating complex technical concepts to non-technical stakeholders
Preferred Qualifications:
- Experience with alternative data sources and web-scale data processing
- Familiarity with cloud computing platforms (AWS/GCP)
- Background in natural language processing and unstructured data analysis
- Experience with real-time trading systems
What We Offer:
- Opportunity to build and shape a quantitative research function from the ground up
- Competitive compensation package including base salary, bonus, and potential fund participation
- Health benefits including health, dental, vision, life, 401k
- Collaborative environment bridging quantitative and fundamental approaches
- Significant autonomy in research direction and team building
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