Quantbot Multi-Manager (QMM) Setup
We provide a collaborative and supportive platform for experienced managers to run strategies and build alphas.
Our flexible environment allows QMMs to focus on developing their alphas, with the freedom to choose their tools and work location.
At Quantbot, you're never alone – our global team is always ready to offer help and guidance.
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Tailored For Seasoned Quantitative PMs
Our QMM setup is designed to cater to Portfolio Managers experienced in running strategies, building alphas, and attributing PnL when deployed in production.
Many of our QMMs have previously worked at larger multi-manager hedge funds or bank proprietary desks but were dissatisfied with rigid risk allocation, trading performance bottlenecks, or limited growth prospects for their strategies.
We specifically seek individuals with proven expertise in fully automated systematic trading and generating sustainable PnL based on quantitative models.
Key Features of Our QMM Setup
Attracting talented portfolio managers is a priority for us, and we achieve this through our collaborative and supportive platform:
Collaborative Platform
Seamless infrastructure that frees you to focus purely on alpha- Support for data acquisition, automated processing, and comprehensive cleansing.
- Handling of daily operations, trade reconciliations, and automated batch jobs.
- Real-time 24/7 monitoring of production trading activities across US, European, and Asian sessions.
- Global expansion opportunities in the US, EU, and Asian electronic markets.
- Continuous development of strategies across cash equities and electronic futures.
In-House Research Team
World-class quantitative colleagues and HPC engineering- Direct access to skilled in-house researchers proficient in portfolio optimization, algorithmic execution, and strategy attribution.
- Advanced expertise in machine learning, feature engineering, and high-performance computing clusters.
- Collaborative knowledge sharing that preserves separate, independent alpha implementations.
Extensive Data Resources
Petabytes of institutional, alternative, and tick-level datasets- Free access to existing and newly onboarded datasets across global cash and derivatives markets.
- Dedicated data engineering team ready to procure, clean, and integrate new datasets when required.
- Substantial, ongoing investment in high-end computing grids with massive parallel storage and cloud burst capabilities.
Support and Guidance
Fair IP ownership, co-investment options, and partner support- Full empowerment for QMMs to focus on developing alpha through independent, unconstrained research.
- We prioritize the protection and retention of intellectual property, ensuring researchers and portfolio managers maintain ownership.
- Expert help and guidance available upon request from founding partners and chief officers.
- Proven improvement in QMMs’ return characteristics through incorporation of freely provided ideas and risk factor insights.
What Sets Quantbot Apart
We believe in genuine partnership, aligned incentives, and transparent mutual growth.
Flexibility and Fairness
- Complete flexibility in computing platform tools and preferred programming languages (C++, R, Python).
- Geographical flexibility with the option to work from any global location.
- IP policies and non-competes specifically designed to be fair and equitable.
- Co-ownership of IP developed at Quantbot and deployed production strategies.
- Option for qualified QMMs to co-invest directly in a fund managed by Quantbot.
Joint Venture Partnership
- The QMM model operates as a true joint venture and partnership between the Portfolio Manager and Quantbot.
- Quantbot manages research infrastructure, risk controls, trading operations, and execution.
- Substantial committed capital for every Portfolio Manager’s approved strategy.
- Thorough, transparent interview process, clear term sheet, and straightforward employment agreement.
Communication & Knowledge
- Direct, open, and constant communication channels available to all functional teams.
- Access to a global pool of quantitative knowledge while maintaining strictly separated alpha implementations.
- Encourages QMMs' long-term success and cultivates a supportive, high-conviction environment.