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    Jason C. Mercurio, MFE

    Jason C. Mercurio, MFE (He/Him)

    Quantitative Investor | AI-Driven Research | Public & Private Markets | ETF Development | Venture & Equity Research

    Quantitative investor with 10+ years of experience across public and private markets.

    Business Analyst Houston University of Califor...
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    Experience
    Independent Equity Trader
    Independent Equity Trader
    Independent Equity Trader 2016 - Present (over 10 years)
    • Built an AI-driven research platform scanning 2,000+ securities to generate signals, visualizations, and support discretionary long/short equity research
    • Conducted... more discretionary and systematic equity research focused on growth, momentum, and asymmetric opportunities
    • Applied technical, fundamental, and macroeconomic analysis to position sizing, trade execution, and risk management
    • Performed post-earnings and trend-following analysis using CANSLIM-inspired frameworks
    Ageless Partners®
    Ageless Partners®
    Founder 2021 - Present (over 5 years)
    • Conducted investment due diligence for private AI and biotechnology companies
    • Screened 100+ biotechnology firms across pre-clinical to Phase III development to identify... more high-potential investments
    • Evaluated venture capital and private equity investments across pre-seed to late-stage companies
    • Sourced and evaluated early-stage investment opportunities in AI and longevity biotech
    • Closed 5 private SPV investments, driving financial and legal diligence
    VitaDAO
    VitaDAO
    Venture Analyst 2023 - 2024 (over 1 year)
    • Advised company leadership on high-impact investment decisions for a blockchain-based crypto-asset VC fund
    • Led due diligence on biotech startups, assessing IP and product... more viability to drive investment decisions
    • Sourced new financial deals for the company through networking and hosting virtual events with startup founders
    O'Neil Global Advisors
    O'Neil Global Advisors
    Quantitative Analyst II 2019 - 2023 (almost 4 years)
    • Produced 10+ quantitative reports leveraging time-series forecasting, data manipulation, and preprocessing in Python
    • Led the development and deployment of an ETF growth... more index product using Python, SQL, and VMs
    • Applied multivariate regression, decision trees, k-means clustering, and SVMs for financial engineering
    • Developed and implemented 30+ trading signals for algorithmic long/short portfolio management
    • Produced 10+ quantitative reports using data manipulation, cleaning, and preprocessing in Python
    • Leveraged S3 buckets, REDSHIFT, PostgreSQL, AWS, CI/CD, Docker, and Version Control
    • Worked with 5+ data scientists to release an expectations module on our production GUI
    • Directed the quant internship program with 5 interns producing 25+ intraday trading signals
    • Managed the UCLA MFE Applied Finance Project for 3 years with 4 interns
    Ikigai Asset Management
    Ikigai Asset Management
    Quantitative Analyst 2018 (3 months)
    • Acquired 2+ years of sentiment, GitHub activity, and Google Trends data through RESTful APIs
    • Analyzed 12+ million hourly prices from 100+ exchanges processed from DynamoDB... more to Amazon S3
    • Applied SQL queries to acquire prices data for 1000+ digital assets in S3 using Athena
    • Performed statistical analysis on alternative data sets for the top 50 digital assets
    • Generated PDF, JPEG and Excel files to visualize 300+ time-series plots using Python
    Gelber Group
    Gelber Group
    Algorithmic Trader 2017 - 2018 (8 months)
    * Backtested mean-reversion strategies across 100+ futures contracts over a 3-year period in Python * Applied machine learning for classification (neural networks) to predict... more which pairs to trade using SciKit-Learn * Acquired, cleaned, transformed, visualized, and modeled minute-level data sets using Pandas and NumPy
    Spot Trading
    Spot Trading
    Data Science Intern 2016 (2 months)
    • Extracted, cleaned, merged, and distributed data from proprietary databases for stock option valuation
    • Designed and deployed production quality automated software using... more Python and SQL
    • Implemented k-means clustering in SciPy and SciKit-Learn to analyze liquidity of 100+ stocks
    • Utilized Agile methods, object-oriented programming, and version control systems (GIT)
    ProspectWise
    ProspectWise
    Quantitative Analyst Intern 2015 (about 1 month)
    • Developed financial models from existing data sets to lower labor costs by 50% using Excel
    Sagepoint Financial
    Sagepoint Financial
    Financial Analyst Intern 2013 (2 months)
    • Analyzed risk/profitability metrics of 40+ mutual funds and allocated assets to 50+ high-valued portfolios
    IT Department at UC Merced
    IT Department at UC Merced
    Student Technology Consultant 2010 - 2012 (over 1 year)
    Founder
     
    Employee
    ProspectWise, IT Department at UC Merced, Sagepoint Financial, Spot Trading, Gelber Group, Ikigai Asset Management, O'Neil Global Advisors, VitaDAO, Ageless Partners®, Independent Equity Trader
    Investor
     
    Incubator
     
    Advisor
     
    Attorney
     
    Board Member
     
    Mentor
     
    Member
     
    Acquired
     
     
    Projects
    OpenClaw AI Agent System
    Deployed OpenClaw onto VPS
    Systems Engineer · AI-Agent System deployed on a VPS

    I deployed open-source software called OpenClaw onto a Virtual Private Server. I… · More performed DevOps Engineering to ensure the system was secure and effective. I worked with docker containers and bash scripting extensively.
    Automated Cryptocurrency Volume Breakout Algorithm
    Volume Breakout Algorithm
    This system checks for specific volume levels across multiple digital assets and sends out emails if certain thresholds are passed.
    Blockchain Data Tracking
    Bitcoin Tracking
    Quantitative Analyst, Python, Python Anaconda, Jupyter Notebook , Pandas · • Tracked real-time blockchain data algorithmically (e.g. a transaction of… · More 109736 Bitcoins for height 550156)
     
    Education
     
    About
    Achievements

    Quantitative investor and analyst with 10+ years’ experience across public markets, developing systematic investment strategies, financial data pipelines, and AI-assisted research workflows across equities and alternative asset classes. Background spans factor modeling, signal generation, and discretionary long/short equity research with a focus on growth investing and asymmetric opportunities. Experienced in building scalable tools for market analysis, evaluating emerging investment themes, and combining technical, fundamental, and macroeconomic analysis across public and private markets.

    Describe the most impressive thing you've done.
    Skills
    Quantitative Finance Investment Stategy Statistical Modeling Portfolio Management Machine Learning Forecasting Python Biotechnology Venture Capital Due Diligence Github Statistical Analysis SQL Version Control Artificial Intelligence AI
    Locations
    Remote United States Silicon Valley Costa Rica Dallas San Francisco
     
    Q&A
    What's the best way for people to get in touch with you?

    Email me at [email protected].

    What aspects of your work are you most passionate about?

    I'm passionate about teamwork, collaboration, and learning. I love learning new tools to be more efficient and effective.

    What was the most impactful class you took in school?

    Writing was very impactful for me.

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