Xinyi Wang has a diverse work experience spanning various roles in the finance and education sectors. Xinyi'smost recent position was as a Quantitative Developer at Kbit, where they started in October 2022.
Prior to that, they worked at Apifiny as a Quantitative Researcher from September 2021 to October 2022. In this role, they conducted research using large datasets, designed trading models, and built low latency liquidity taking or market making strategies. Xinyi also provided high trading volume for different crypto exchanges and contributed to coding, testing demos, and writing explanation documents for a crypto trading product launch.
From June 2017 to August 2021, Xinyi worked at Tanius Technology, LLC as a Quantitative Trader. During their tenure, they gained experience in quantitative trading strategies and execution.
Xinyi gained research experience as a Research Assistant at Peking University from November 2015 to June 2016. Xinyi also interned as an Analyst at Shenwan Hongyuan Securities Research from August 2015 to March 2016. Additionally, they interned as a Customer Manager at China CITIC Bank International Limited in August 2014.
Xinyi's early work experience includes serving as a Teaching Assistant at New Oriental Education and Technology Group in July 2013.
Overall, Xinyi Wang has a strong background in quantitative finance, trading, research, and teaching, with a focus on crypto trading strategies and financial analysis.
Xinyi Wang's education history is as follows:
From 2006 to 2009, Xinyi Wang attended The Second High School of Beijing Normal University, where they focused on studying science.
In 2012, Xinyi Wang obtained a certification in ASA (Associate of the Society of Actuaries) from SOA (Society of Actuaries).
From 2012 to 2016, Xinyi Wang pursued a Bachelor of Science (B.S.) degree in Statistics at Beijing Institute of Technology.
In 2014, Xinyi Wang also attended a summer school program at the University of California, Berkeley, Haas School of Business, where they studied Marketing & Communication for Leaders.
From 2014 to 2016, Xinyi Wang simultaneously pursued a Bachelor of Arts (B.A.) degree in Economics at Peking University.
Lastly, from 2016 to 2017, Xinyi Wang pursued a Master's degree in the Mathematics of Finance program at Columbia University.
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Kbit
We trade millions of dollars of cryptos every hour, 24/7, via a globally distributed computational platform. We're applying software engineering, data engineering, and financial engineering to crypto trading. Our trading is systematic, quantitative, and automated. Using our proprietary technology platform we perform research,opportunity identification, market and counterparty risk management, and trade execution. Our strategies include market making, directional forecasting, and arbitrage.We take a scientific approach in identifying and capturing trading opportunities. We hypothesize, research, confirm, implement. And we've proven the ability to make profits in up and down markets.While you read this, we did several trades of several different cryptoassets on exchanges in several different countries.
