Mengjiao Wang

Mengjiao Wang

Assistant to Manager

Followers of Mengjiao Wang517 followers
location of Mengjiao WangLondon, England, United Kingdom

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  • Timeline

  • About me

    Data Scientist VP at JPMorgan Chase & Co.

  • Education

    • UCL

      2020 - 2021
      Master's degree Business Analytics
    • University of Oxford

      2018 - 2019
      Master of Science Statistical Science
    • University of Bristol

      2015 - 2018
      Bachelor of Science Economics and Mathematics
  • Experience

    • Shanghai Pudong Development Bank

      Jun 2016 - Sept 2016
      Assistant to Manager

      - Promoted investment services to new clients by introducing basic economic concepts such as interest rate and inflation rate- Facilitated major transactions for individual and company clients - Targeted potential customers of specific financial products by analyzing their risk assessment reports

    • 联想(北京)有限公司

      Jul 2017 - Aug 2017
      Test Engineering Intern

      - Constructed linear programs to minimize cost while exceeding capacity requirements through analyzing prices and capacities of system configurations; Solved linear programs with Simplex Method in R- Developed creative solutions to provide optimal product portfolio with minimum cost under the constraints of available capacity

    • Towers Consulting, London & New York

      Oct 2018 - Dec 2018
      Parttime Assistant

      - Assisted in a service optimization project of a transport company in the UK, applied multivariate linear regression with R to explore influential factors to company’s ridership based on two-year records of traffic data with 47 features; proposed recommendations on service arrangements to increase ridership- Assisted in a Mozzarella Cheese market entry strategy in the UK through conducting desk research and summarizing information about product portfolios, the food safety certifications, contact information and companies’ latest news of 15 Mozzarella Cheese manufacturers and 6 Mozzarella Cheese distributors in the UK Show less

    • IQVIA

      Sept 2019 - Mar 2020
      Management Consulting Intern

      - Work within the consulting team on projects of helping our clients to determine the optimal position, price, and marketing strategies of new drug or treatments for diseases such as lymphoma, pneumonia, and myeloma - In charge of proposal preparation, primary and secondary market research, questionnaire design, and interview report summarisation- Processed the raw data collected from effective questionnaires; constructed data-driven models such as random forests, logistic regressions, and conjoint analysis in R and Excel- Extracted effective and rational insights from the data-driven models Show less

    • Shanghai Jiaotong University, School of Medicine

      Mar 2020 - Jul 2020
      Statistician
    • Tokio Marine Kiln

      Apr 2021 - Aug 2021
      Master Thesis Project
    • JPMorgan Chase & Co.

      Jun 2021 - Sept 2021
      Off-Cycle Intern in the Applied AI & ML
    • JPMorganChase

      Nov 2021 - now

      Cross Asset Systematic Strategy Team, CIB Global Research Cross Asset Systematic Strategy Team, CIB Global Research CIB Global Research

      • Data Scientist, VP

        Feb 2025 - now
      • Data Scientist, Associate

        Jul 2022 - Jan 2025
      • Applied AI & ML Associate

        Nov 2021 - Jul 2022
  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Mengjiao Wang
      1st Runner-up team under the AI for Critical Care track 2019 NUS-NUH-MIT Healthcare Analytics Datathon Jul 2019
    • Awarded to Mengjiao Wang
      The Dean’s International Intern Scholarship University of Bristol, Faculty of Social Sciences and Law Oct 2017
    • Awarded to Mengjiao Wang
      Ede and Ravenscroft Prize University of Bristol, Faculty of Social Sciences and Law Aug 2017 Awarded to students with excellent academic performance (top 1% of the Faculty of Social Sciences and Law)
    • Awarded to Mengjiao Wang
      Meritorious Winner 2017 Interdisciplinary Contest in Modeling Apr 2017 Awarded to the top 8.88% performers from 17,000+ teams around the world