David Felsen

Business Analyst

New York, New York, United States16 yrs 5 mos experience
Highly Stable

Key Highlights

  • Expert in quantitative research and algorithmic trading.
  • Proven track record in cryptocurrency systematic trading.
  • Strong background in data science and machine learning.
Stackforce AI infers this person is a Fintech expert specializing in quantitative research and algorithmic trading.

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Skills

Core Skills

Quantitative ResearchAlgorithmic TradingMachine LearningQuantitative Analysis

Other Skills

AlgoAlgorithm DevelopmentAlpha researchAutomationBest Execution AnalysisBloombergCryptocurrencies systematic tradingCryptocurrencyData AnalysisData MiningData ScienceEquity TradingFinanceFinancial MarketsHigh Frequency Trading

About

Quant Researcher/Trader with a focus on crypto markets. Systematic trading | Data science | Machine learning | Python

Experience

16 yrs 5 mos
Total Experience
4 yrs 1 mo
Average Tenure
4 yrs 5 mos
Current Experience

Europa digital assets

Quantitative Researcher/Trader

Jan 2022Present · 4 yrs 5 mos

  • Cryptocurrencies systematic trading
Cryptocurrencies systematic tradingQuantitative ResearchAlgorithmic Trading

Green key partners

Quantitative Researcher/Trader

Jan 2020Jan 2022 · 2 yrs · New York, New York, United States

  • Cryptocurrencies systematic trading
Cryptocurrencies systematic tradingQuantitative ResearchAlgorithmic Trading

Pattern research (winklevoss capital management)

Quantitative Researcher

Jan 2019Jan 2020 · 1 yr · Greater New York City Area

  • Alpha research in a four-person team on stat-arb, funding strategies
  • Contributed to centralized infrastructure: execution engine, standardization, latency benchmarking
Alpha researchstat-arbfunding strategiescentralized infrastructureexecution enginestandardization+3

Stralem & co

Quantitative Analyst/Trader

Jan 2010Jan 2019 · 9 yrs · Greater New York City Area

  • Oversaw all firm trade execution for mid-cap and large-cap equities ($4bn AUM)
  • Developed and implemented rules-based rebalancing process for firm’s Asset Allocation Strategies across equities and mutual funds
  • Created and automated portfolio analytics for firm’s equity research process
  • Conducted Best Execution Analysis benchmarking the firm’s trading and brokerage performance
trade executionrules-based rebalancingportfolio analyticsBest Execution AnalysisQuantitative AnalysisAlgorithmic Trading

Education

EDHEC Business School

Bachelor — Finance

NYC Data Science Academy

Data Science Fellow — Data Science

Jan 2019Present

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