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Armand Morin Email & Phone Number

DeFi Quant Trader at Blockchain
Location: New York, United States 10 work roles 6 schools
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✓ Verified August 2026 3 data sources Profile completeness 86%

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Current company
Role
DeFi Quant Trader
Location
New York, United States
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Armand Morin is listed as DeFi Quant Trader at Blockchain, a with 589 employees, based in New York, United States. AeroLeads shows a matched LinkedIn profile for Armand Morin.

Armand Morin previously worked as Quantitative Trader (Master's/PhD) at Tower Research Capital and Blockchain Data Scientist at Openblock Labs. Armand Morin holds Master Of Science - Ms, Financial Engineering from University Of California, Berkeley, Haas School Of Business.

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Blockchain

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Profile bio

About Armand Morin

I'm interested in bringing innovation and technology (FinBERT, FinRL) to algo trading on the buy side.I am starting a master's degree in MFE at UC Berkeley in March 2023. I have strong theoretical skills in mathematics and statistics as well as technical skills in python programming. I am passionate about data science in general and how technology in general is able to transform the world. I develop cutting-edge trading algorithms using the latest AI technology. I enjoy applying the most innovative mathematical models of machine learning to market finance.I am passionate about the world of blockchain and digital assets. I am excited by perspectives offered in this ecosystem. I keep track of decentralized finance and as an engineer I develop many innovative financial products on different blockchain. Some projects available here : github.com/Armand-Morin

Current workplace

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Blockchain
Blockchain
DeFi Quant Trader
Paris, FR
Employees
589
AeroLeads page
10 roles

Armand Morin work experience

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Quantitative Trader (Master'S/Phd)

New York, Ny, Us

- Designed, implemented, and deployed ML algorithms for time-series analysis, pattern recognition and LLM processing- Built innovative solutions using deep learning to explore trading ideas by analyzing market data

Blockchain Data Scientist

Palo Alto, Ca, Us

- Developed incentive models at protocol and user levels on the Linea and Sui blockchains.- Implemented a point system to promote sustainable growth for the Linea ecosystem and manage Sui Foundation allocations.- Created a scalable and modular framework to analyze market depth and identify wash trading behavior in liquidity pools across v3 DEXs, including Turbos, Cetus, SuiDex, and Ekubo.- Monitored the effectiveness of allocations by assessing their impact on ecosystem TVL and the protocols growth following allocations.

Mar 2024 - May 2024

Founder

Berkeley, Ca, Us

- Building a DeFi protocol to improve profitability of LP strategies- Automated Liquidity Providing strategies to end Impermanent Losses and reduce Loss-Versus-Rebalancing impact on pools.

Nov 2023 - Feb 2024

Quantitative Researcher

Old Greenwich, Ct, Us

- Developed quantitative techniques to analyze alphas and predict movements of worldwide financial markets, using proprietary research framework.- Applied advanced machine learning techniques to data analysis, algorithm development and alpha research- Increase efficiency in the development of quantitative models by investment process automation- Production in C++ and research of alpha signal using ML/AI techniques to improve the macro combinaison of alphas signals.- Developed systematic equity strategies using statistical worldwide financial markets signals and proprietary backtest framework.- Engineered advanced quantitative trading modules (combinaison and operation) using machine learning techniques, substantially boosting trading efficiency and profitability

Oct 2023 - Dec 2023

Quantitative Researcher - Global Markets - Data & Ai Lab Paris

Paris, France, Fr

• Developed an AI model for boosting trend and mean reversion quantitative investment strategies signals using Metalabeling techniques. Backtested over a period of 15 years• Calibrated Neural Networks models on trading signal to optimize sharpe ratio and leverage market data.• Created high quality categorical symbolic features to reduce overfitting and improve training of tree models. Enhanced accuracy of daily return sign prediction models by 2% to 55%• Produced optimal gamma trading algorithms for delta neutral hedging strategy optimization. Improved pnl performance of previous oracles by 6% deploying innovative genetic algorithms• Found optimal weekly hedging strategy for the SPX and G10 on the 15 minute timeframe based on parabola and parabola log options.

Jul 2022 - Jan 2023

Research Assistant

Palo Alto, California, Us

- Developed Auto ML algorithms improving neural network structure of algorithms pricing American options on energy market to achieve up to 9% performance gains- Researched on Quantum Machine Learning for Time Series prediction, clustering of customers based on electricity consumption

Sep 2021 - Jun 2022

Portfolio Optimization & Risk Management

Volga Technologies

• Implemented technically the modern portfolio management theory using python and backtested on 10 years of market data• Benchmarked correlation performances of several portfolio running different rebalancing rules with the Markowitz portfolio on 5 different types of sectors (Tech, Commodity, Finance, Health, Real Estate)• Optimizated sharpe ratio (return/volatility) by taking into account transaction costs in the overall portfolio performance.• Updated weights under constraints of: maximum total volatility, asset weighting limit and monthly position variation limit

Jan 2022 - May 2022

Kaggle Competitor

San Francisco, California, Us

Data mining and visualisation, Machine Learning, Deep Learning competitions. (NLP ...)

Jan 2021 - Jun 2021

Engineering Project In Machine Learning

Milan, Lombardy, It

• Generated a database (containing 10,000 lines of news) of market sentiment signals on social medias (Twitter, Redit) to enhance the performance of prediction models• Bitcoin tweets sentiment analysis project generating data signal for a bitcoin trading bot.• Design, development and deployment of a market sentiment analysis trading software (AI, NLP, language processing)

Nov 2020 - Jun 2021
6 education records

Armand Morin education

Master Of Science - Ms, Financial Engineering

University Of California, Berkeley, Haas School Of Business

Master'S Degree

Centralesupélec

Classes Préparatoires Aux Grandes Écoles (Cpge), Mpsi/Mp*

Lycée Janson-De-Sailly

Baccalauréat Scientifique

Lycée Louis-Le-Grand

Diplôme National Du Brevet Des Collèges

Lycée Français De Moscou

Education record

Lycée Français De Damas
FAQ

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What company does Armand Morin work for?

Armand Morin works for Blockchain.

What is Armand Morin's role at Blockchain?

Armand Morin is listed as DeFi Quant Trader at Blockchain.

Where is Armand Morin based?

Armand Morin is based in New York, United States while working with Blockchain.

What companies has Armand Morin worked for?

Armand Morin has worked for Blockchain, Tower Research Capital, Openblock Labs, Berkeley Skydeck, and Worldquant.

How can I contact Armand Morin?

You can use AeroLeads to view verified contact signals for Armand Morin at Blockchain, including work email, phone, and LinkedIn data when available.

What schools did Armand Morin attend?

Armand Morin holds Master Of Science - Ms, Financial Engineering from University Of California, Berkeley, Haas School Of Business.

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