Experience

Okcoin

• United States
• Financial Services
• 100 - 200 Employee

• Senior Risk Data Analyst

  • Jun 2023 - Present

  United States

• Risk Rules & Strategy Specialist

  • Jan 2022 - Present

  San Francisco Bay Area

• Data Analyst intern

  • Jun 2021 - Dec 2021

  San Francisco Bay Area • Migrated the Excel-based Customer Risk Rating Model into Python and separated it into USA, Singapore, European and international entities. • Maintained and updated over 10+ risk relating dashboards • Handle all ad-hoc risk analytics requests and troubleshooting data error and deliver in accordance to agreed timeline to make sure vendors such as DataVisor could gain, process, and manipulate the data correctly



Deloitte

• Business Consulting and Services
• 700 & Above Employee

• Data Analyst

  • Nov 2019 - Jan 2020

  Beijing, China •Analyzed the key customer churn point following the AARRR model for the external procurement system •Conducted the root cause analysis in SQL and Excel and identified the main problem as the invoice problem •Collaborated with PMs to adjust the system and performed the simulation to ensure the customer experience •Tested the system in 2 perspectives and developed A/B test in order to compare between these two versions •Articulated and communicated meaningful insights to clients by… Show more •Analyzed the key customer churn point following the AARRR model for the external procurement system •Conducted the root cause analysis in SQL and Excel and identified the main problem as the invoice problem •Collaborated with PMs to adjust the system and performed the simulation to ensure the customer experience •Tested the system in 2 perspectives and developed A/B test in order to compare between these two versions •Articulated and communicated meaningful insights to clients by translating statistically robust analysis of business insights Show less



China Securities Co., Ltd

• China
• Investment Banking
• 200 - 300 Employee

• Summer Intern

  • Aug 2019 - Nov 2019

  Beijing, China •Extracted 20+ different hedge funds from database and simulated random combination by using Monte Carlo Simulations •Optimized the asset allocation plans for the $80 billion Fund based on the simulation results and predicted the future assets returns by using time series analysis (ARIMA) and Black Litterman Model, achieved 87.3% accuracy •Performed statistical analysis in Python to identify risk exposures and managers’ ability to generate alpha •Developed 2+ strategic allocation… Show more •Extracted 20+ different hedge funds from database and simulated random combination by using Monte Carlo Simulations •Optimized the asset allocation plans for the $80 billion Fund based on the simulation results and predicted the future assets returns by using time series analysis (ARIMA) and Black Litterman Model, achieved 87.3% accuracy •Performed statistical analysis in Python to identify risk exposures and managers’ ability to generate alpha •Developed 2+ strategic allocation framework and conducted 6+ private equity replication researches •Conducted due-diligence for target projects including company background, ownership structure, shareholders’ background, lawsuit situation, strategic development plan, credit standing, etc., offering 10+ due-diligence reports Show less



CCB Trust

• China
• Investment Banking
• 1 - 100 Employee

• Intern

  • Jan 2019 - Feb 2019

  Beijing, China •Forecasted the markets on box office of 2019 Chinese film market and performed quantitative analysis and by gathering 20 G+ data of target films, arranging data into structured data source as well as marked potential risk points •Performed the market research for Chinese film industry and monitored 5+ metric of financing and investment cases •Calculated earnings and valuations using P/E, P/S, DCF methods based on Bloomberg and WIND consensus •Utilized EViews and analyzed the… Show more •Forecasted the markets on box office of 2019 Chinese film market and performed quantitative analysis and by gathering 20 G+ data of target films, arranging data into structured data source as well as marked potential risk points •Performed the market research for Chinese film industry and monitored 5+ metric of financing and investment cases •Calculated earnings and valuations using P/E, P/S, DCF methods based on Bloomberg and WIND consensus •Utilized EViews and analyzed the correlation between box office and public opinions of Chinese films in 2018; summarized and presented findings in a 5- page report Show less