Pavel Pleskov — CEO
angel investor trouble maker problem solver
Stackforce AI infers this person is a Fintech expert specializing in quantitative research and data science.
Location: Limassol, Cyprus
Experience: 13 yrs 3 mos
Skills
- Quantitative Research
- Machine Learning
- Data Science
- Financial Services Consulting
- Teaching
- Product Control
- Equity Trading
- Financial Control
- Information Analysis
Career Highlights
- Expert in quantitative research and financial modeling.
- Proven track record in high-frequency trading.
- Strong background in machine learning and data science.
Work Experience
Fast Forward
Head of Quantitative Research (3 yrs 4 mos)
Exness
Senior Quantitative Researcher (9 mos)
Praxis Pioneering
Machine Learning Engineer (1 yr 7 mos)
H2O.ai
Data Scientist (3 mos)
Point API
Data Scientist (9 mos)
Kaggle
Competitions Grandmaster (2 yrs 4 mos)
ThunderBid
Head of Quantitative Research (2 yrs 2 mos)
AIM Fund
Quantitative Researcher (1 yr 7 mos)
Oliver Wyman
Financial Services Consultant (10 mos)
National Research University - Higher School of Economics
Teaching Assistant (9 mos)
Renaissance Capital
Product Control Group Intern (1 mo)
Troika Dialog
Equity Trading Desk Intern (1 mo)
Credit Europe Bank Russia
Financial Control Department Analyst (2 mos)
"Derivative Expert" Agency
Information and Analysis Department Specialist (2 mos)
Education
MA at New Economic School
Specialist at Lomonosov Moscow State University (MSU)
High School at Moscow School 57