Pavel Pleskov

CEO

Limassol, Cyprus13 yrs 3 mos experience
Most Likely To Switch

Key Highlights

  • Expert in quantitative research and financial modeling.
  • Proven track record in high-frequency trading.
  • Strong background in machine learning and data science.
Stackforce AI infers this person is a Fintech expert specializing in quantitative research and data science.

Contact

Skills

Core Skills

Quantitative ResearchMachine LearningData ScienceFinancial Services ConsultingTeachingProduct ControlEquity TradingFinancial ControlInformation Analysis

Other Skills

AccountingAlgorithmsAnalytical SkillsC#CV and TS automated pipelinesData AnalysisDeep LearningDerivativesDifferential EquationsERM modelEconometricsEconomicsEnterprise Risk ManagementFinanceFinancial Modeling

About

angel investor trouble maker problem solver

Experience

13 yrs 3 mos
Total Experience
1 yr 5 mos
Average Tenure
3 yrs 4 mos
Current Experience

Fast forward

Head of Quantitative Research

Feb 2023Present · 3 yrs 4 mos · Limassol, Cyprus · Remote

  • quantum algos on fpga
quantum algosfpgaQuantitative Research

Exness

Senior Quantitative Researcher

Apr 2022Jan 2023 · 9 mos · Limassol Municipality, Limassol, Cyprus

  • Trading Anti-Fraud Research
Trading Anti-Fraud ResearchQuantitative Research

Praxis pioneering

Machine Learning Engineer

May 2020Dec 2021 · 1 yr 7 mos · San Francisco Bay Area

  • e-commerce automation, customer acquisition, data acquisition, valuation models, cltv
e-commerce automationcustomer acquisitiondata acquisitionvaluation modelscltvMachine Learning

H2o.ai

Data Scientist

Oct 2019Jan 2020 · 3 mos · Remotely

  • CV and TS automated pipelines
CV and TS automated pipelinesData Science

Point api

Data Scientist

Dec 2018Sep 2019 · 9 mos · Remotely

  • NLP email auto answering
NLP email auto answeringData Science

Kaggle

Competitions Grandmaster

Sep 2017Jan 2020 · 2 yrs 4 mos · Remotely

  • 1st (top 1%) - Quick, Draw! Doodle Recognition Challenge
  • 1st (top 1%) - IEEE's Signal Processing Society - Camera Model Identification
  • 3rd (top 2%) - Text Normalization Challenge - Russian Language
  • 4th (top 1%) - Google Landmark Recognition Challenge 2018
  • 8th (top 1%) - TalkingData AdTracking Fraud Detection Challenge
  • 9th (top 4%) - Google Landmark Recognition 2019
  • 10th (top 1%) - 2018 Data Science Bowl
  • 10th (top 1%) - Toxic Comment Classification Challenge
  • 10th (top 1%) - Humpback Whale Identification
  • 12th (top 2%) - Gendered Pronoun Resolution
  • 12th (top 3%) - Santa Gift Matching Challenge
  • 13th (top 1%) - Statoil/C-CORE Iceberg Classifier Challenge
  • 13th (top 2%) - Airbus Ship Detection Challenge
  • 13th (top 3%) - Google Cloud & NCAA® ML Competition 2019-Women's
  • 27th (top 2%) - Microsoft Malware Prediction
  • 28th (top 2%) - Avito Demand Prediction Challenge
  • 28th (top 9%) - The 2nd YouTube-8M Video Understanding Challenge
  • 31st (top 5%) - TrackML Particle Tracking Challenge
  • 34th (top 8%) - Inclusive Images Challenge
  • 39th (top 17%) - Google AI Open Images - Visual Relationship Track
  • 41st (top 19%) - Google Landmark Retrieval Challenge 2018
  • 45th (top 18%) - Text Normalization Challenge - English Language
  • 55th (top 9%) - Cdiscount’s Image Classification Challenge
  • 58th (top 13%) - Google AI Open Images - Object Detection Track
  • 85th (top 3%) - TGS Salt Identification Challenge
  • 85th (top 16%) - Passenger Screening Algorithm Challenge
  • 86th (top 7%) - TensorFlow Speech Recognition Challenge
  • 98th (top 14%) - Carvana Image Masking Challenge
  • 100th (top 7%) - RSNA Pneumonia Detection Challenge
  • 129th (top 3%) - Santander Value Prediction Challenge
  • 136th (top 2%) - Home Credit Default Risk
  • 158th (top 5%) - Zillow Prize: Zillow’s Home Value Prediction

Thunderbid

Head of Quantitative Research

Jan 2015Mar 2017 · 2 yrs 2 mos · Remotely

  • HFT, MOEX
HFTMOEXQuantitative Research

Aim fund

Quantitative Researcher

Jul 2013Feb 2015 · 1 yr 7 mos · Moscow, Moscow City, Russia

  • HFT, options
HFToptionsQuantitative Research

Oliver wyman

Financial Services Consultant

Jul 2012May 2013 · 10 mos · Moscow, Moscow City, Russia

  • Built a financial model of a top-10 Russian financial corporation
  • Improved and implemented PD model for a top-10 Russian retail bank
  • Developed ERM model for a largest Russian oil company
financial modelPD modelERM modelFinancial Services Consulting

National research university - higher school of economics

Teaching Assistant

Sep 2011Jun 2012 · 9 mos · Moscow, Moscow City, Russia

  • Conducted seminars on Statistics for the first-year students at ICEF
  • Took part in preparing examination problems
StatisticsTeaching

Renaissance capital

Product Control Group Intern

Jul 2011Aug 2011 · 1 mo · Moscow, Moscow City, Russia

  • Performed P/L reports for FICC & Treasury
  • Improved efficiency of daily reports preparation
P/L reportsefficiency improvementProduct Control

Troika dialog

Equity Trading Desk Intern

May 2011Jun 2011 · 1 mo · Moscow, Moscow City, Russia

  • Provided equity traders with market information
  • Booked deals
market informationdeals bookingEquity Trading

Credit europe bank russia

Financial Control Department Analyst

Jun 2010Aug 2010 · 2 mos · Moscow, Moscow City, Russia

  • Performed weekly and monthly internal accounting reports
  • Developed multipurpose approach for calculating credit tariffs
internal accounting reportscredit tariffsFinancial Control

"derivative expert" agency

Information and Analysis Department Specialist

Jun 2009Aug 2009 · 2 mos · Moscow, Moscow City, Russia

  • Developed a semi-automatic client positions managing system
  • Provided customers technical support
  • Designed software specification
  • Performed software testing
client positions managing systemtechnical supportsoftware specificationsoftware testingInformation Analysis

Education

New Economic School

MA — Economics

Jan 2010Jan 2012

Lomonosov Moscow State University (MSU)

Specialist — Mathematics

Jan 2005Jan 2010

Moscow School 57

High School — Mathematics

Jan 2001Jan 2005

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