Jenny Chen

Business Analyst at Citadel

New York, New York, United States

About

Experience

  • Business Analyst at Citadel
    Jul 2025 - Present · 1 yr

  • Morgan Stanley (Full-time · 4 yrs)
    • Assistant Vice President
      Jan 2025 - Jul 2025 · 7 mos

      Lead Product Owner for Executive Compensation Analysis platform

    • Associate Product Owner
      Jan 2024 - Jan 2025 · 1 yr 1 mo

      Product Owner at Morgan Stanley building quantitative wealth & investment planning tools for Ultra High Net Worth clients

    • Wealth Management Rotational Analyst
      Aug 2021 - Jan 2024 · 2 yrs 6 mos

      - Cash Management Product Owner for Zelle on MSOnline, leading a team of 30+ offshore and onshore software developers to enhance and develop Zelle on MS and E*Trade - Acquired and/or partnered with FinTech startups to fill gaps in Morgan Stanley at Work's (MSAW) technology ecosystem - Prepared company valuations and financial models for upper-level management on potential acquisitions - Developed new bidirectional referral payments model that drove in 500+ clients with over $100M+ in assets - SIE, Series 7 & Series 63 Licensed

  • Data Scientist at Cornell Data Science
    Sep 2018 - Aug 2021 · 3 yrs

    Fall 2019 || Vaporfly - Analyzed the effects of the Nike Vaporfly 4% running shoes using statistical mixed-effects models - Web scraped image data for model usage - Paper written and published on ArXiv ("An Observational Study of the Effect of Nike Vaporfly Shoes on Marathon Performance") Spring 2019 || Knowledge Graphs - Constructed extractive and query-specific knowledge graphs into RNN models for question-answering tasks Fall 2018 || Visualizing Neural Networks - Researching methods in high dimensional data visualization and unsupervised learning - Analyzing and building tools to visualize the evolution of advanced neural networks using T-SNE and UMAP

  • Wealth Management Summer Analyst at Morgan Stanley
    Jun 2020 - Aug 2020 · 3 mos

  • Business Technology Intern at Pfizer
    May 2019 - Aug 2019 · 4 mos

    Founded initiative to address product shortages by developing algorithms using R and SQL to predict doctors' prescription behaviors. - Developed algorithms within Dataiku (DSS) that will be deployed in 150+ territories to 10,000+ Pfizer sales reps for use - Analyzed usage data and developed dashboard reports using Tableau to supply to business clients