Jess Song, CFA, FRM

Jess Song, CFA, FRM

Cash Management, Preferred Stock

Followers of Jess Song, CFA, FRM2000 followers
location of Jess Song, CFA, FRMNew York City Metropolitan Area

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  • Timeline

  • About me

    Portfolio Manager, Global Quant Equity, Statistical Arbitrage, ML/DL/NLP

  • Education

    • Stony Brook University

      -
      Master's Degree Computer Science

      Activities and Societies:  Teaching Assistant in Introduction in Mechanical Engineering lab class

    • New York University

      -
      Master's Degree Mathematics in Finance, Courant Institute of Mathematical Science

      • Risk-Neutral Valuation, Monte Carlo Methods, GARCH, ARIMA, PCA, regression, CAPM, factor model, Random Forest, Machine Learning, Mean-Variance Optimization, Black-Litterman model.

  • Experience

    • StoneCastle

      Jan 2012 - Jan 2015
      Cash Management, Preferred Stock

      - Managed analysts on the execution of projects.- Key contributor to the company’s core cash allocation optimization algorithm.- Built a proprietary mobile application for rating and information of all 8000+ banks in the US.- Built from scratch and in charge of the company’s business reporting system; generated and presented reports to C-level executives, clients and business partners.

    • J.P. Morgan Asset Management

      Jan 2015 - Jan 2016
      Multi Asset Allocation, Fund of Fund

      - Lead a team of eight VPs as project manager to create portfolio allocation framework and tools.- Designed and developed a highly flexible and feature-rich portfolio management system for multi-asset fund-of-fund investing.Hosted training sessions on modern portfolio theories for audiences from diversified backgrounds.- Monitored risk exposure of multi-asset fund-of-fund portfolios.- Multi-asset management.- CIO office.- Portfolio asset allocation and portfolio construction. Show less

    • Acadian Asset Management

      Jan 2016 - now
      Portfolio Manager, Quant Equity Researcher

      - Global quant equity alpha research using market data, fundamental data and alternative data. Structured and non-structured datasets. - Statistical arbitrage(Equity Stat-Arb)- DM(develop market), EM(emerging market), China strategies.- Machine learning, and deep learning applications to create alpha signals and strategies.- Peer relationships and linkages modeling- Leading and mentoring research projects- Medium frequency and long-term strategies- Market neutral equity long/short strategies- Earnings event alphas- Modeling, portfolio attribution and portfolio construction research- Industry rotation model- Research presentation and client communication Show less

  • Licenses & Certifications

    • FRM

      GARP FRM Program
    • CFA

      CFA Institute