Selim Adyel โ CEO
๐ ๐จ๐ฎ๐ง๐๐๐ซ ๐๐ง๐ ๐๐๐ โ ๐๐ญ๐ฅ๐๐ฌ ๐๐ฎ๐๐ง๐ญ Building the missing layer in allocator infrastructure. Currently fundraising โ SEIS/EIS-approved For investments inquiries: investors at atlasquant dot io For media inquiries: media at atlasquant dot io Capital markets professional globally recognised for expertise in financial markets and quantitative finance and as an industry leader. Engineer, senior quantitative researcher, portfolio manager, and data scientist with more than a decade of cross-asset trading experience at top-tier institutions and a multi-year record of positive performance in challenging markets.
Stackforce AI infers this person is a Fintech expert with a strong focus on quantitative finance and algorithmic trading.
Location: London, England, United Kingdom
Experience: 12 yrs 10 mos
Skills
- Quantitative Research
- Data Science
- Quantitative Trading
- Portfolio Management
- Crypto Strategies
- Alpha Research
- Quantitative Analysis
- Algorithmic Trading
- Data Visualization
Career Highlights
- Founder of a globally recognized consultancy in systematic trading.
- Developed proprietary quantitative frameworks for investment strategies.
- Achieved consistent outperformance in challenging markets.
Work Experience
Atlas Quant
CEO - Co-Founder (8 mos)
Blueprint Finance
Lead Quantitative Researcher (via Alphubel) (2 yrs 4 mos)
GTS
Portfolio Manager (via Alphubel) (10 mos)
Alphubel
Founder, principal (6 yrs)
Caxton Associates
Quantitative analyst / portfolio manager (1 yr)
Morgan Stanley
Algorithmic trading - associate (1 yr 6 mos)
Algorithmic trading - analyst (1 yr)
UBS
Multi asset exotics derivatives trading (6 mos)
Morgan Stanley
Sales and trading summer analyst (2 mos)
Nomura
Equity derivatives volatility trading (6 mos)
LCF Rothschild
Mergers and acquisitions (6 mos)
Club finance Centrale Paris
Vice President (6 mos)
Salam Gaz
Blue collar work experience (1 mo)
CDG Capital
Summer Analyst (1 mo)
Forum Centrale-Supรฉlec
Sales and marketing (1 yr 4 mos)
Bouygues Construction
Investment analyst advisory (9 mos)
Education
Ingรฉnieur Centralien at CentraleSupรฉlec
Machine Learning (Prof. Andrew Ng) at Stanford University
Master of Science MSc in Financial Engineering and Engineering Degree (ing. fin. dipl. EPF) at EPFL
Bachelor of Science (B.Sc.) at Swiss Federal Institute of Technology Lausanne
Scientific Baccalaureate at Lycรฉe Descartes
Bitcoin and Cryptocurrency Technologies at Princeton University
Deep Learning Specialization (Prof. Andrew Ng) at deeplearning.ai
Summer school at Rabat American School