Schlossberg Technologies is a quantitative investment management company trading in global financial markets, dedicated to producing exceptional returns for its investors by combining the most sophisticated scientific methods of quantitative finance, machine learning and behavioural finance.
Schlossberg Technologies
- Founded in 2018
- Registered with FINMA and FINcontrol
- Significant employee investment in the funds we manage
- Intellectually vibrant culture of collaboration, discipline, critical analysis, and intense research
- PhDs in mathematics, physics, and related fields from ETH, EPFL and Imperial College
- Registered with FINMA and FINcontrol
- Significant employee investment in the funds we manage
- Intellectually vibrant culture of collaboration, discipline, critical analysis, and intense research
- PhDs in mathematics, physics, and related fields from ETH, EPFL and Imperial College
- Collective experience includes Millennium Management, UBS, Deutsche Bank, BlackRock
- Close collaboration with academia
- Culture embodies commitment to excellence, ambition, and transparency
- Uniform data-driven approach applied across all liquid asset classes
- Redundant computational facilities, each fully capable of supporting trading operations
Enigma Fund
- A multi-strategy, multi-asset quant fund
- Combines multiple proprietary quant models with low correlation
- Maintains a market-neutral stance
- Includes proven strategies from Dr. Magrino Bini (ex-Millennium Management)
- Applies concepts from physics (e.g. particle acceleration in turbulent flows)
- Utilizes latest machine learning techniques (e.g. convolutional neural networks)
- Designed to react quickly to different market regimes
- A multi-strategy, multi-asset quant fund
- Combines multiple proprietary quant models with low correlation
- Maintains a market-neutral stance
- Includes proven strategies from Dr. Magrino Bini (ex-Millennium Management)
- Applies concepts from physics (e.g. particle acceleration in turbulent flows)
- Utilizes latest machine learning techniques (e.g. convolutional neural networks)
- Designed to react quickly to different market regimes
- A research database with tick and order book data that grows by double-digit GBs a day
- Utilisation of latest generation CPU and GPU cores
- Lightning-fast sub-4ms connections to our brokers
- Utilisation of latest generation CPU and GPU cores
- Lightning-fast sub-4ms connections to our brokers
David D. Buehlmann, M.Sc.
Prof. Dr. Semyon Malamud
Dr. Magrino Bini
Lars Fasel, B.A.
Dr. Paola Apruzzese
Boris Kuznetsov, M.Sc.