[Summary] Data-driven open scenario-based financial services platform
Quant Group is a financial big data company. Founded in February 2014 by returned overseas Chinese from Wall Street and senior scientists from Google, the company had received millions in angel investment before its establishment, and a few months later secured tens of millions in Series A funding from top-tier venture capital. The company's main business involves integrating internet and traditional data sources through risk pricing based on machine learning and internet-based approaches, and applying mature quantitative methods and financial experience from Europe and the US to help individuals and small and micro enterprises demonstrate their economic and financial status, thereby enabling them to quickly obtain low-cost loans and achieve inclusive finance with low-interest rapid financing. Quant Group has stood out from over 700 startups and was selected for the fifth cohort of the Microsoft Ventures Accelerator (19 companies were selected).
Core team members:
Founder & CEO Zhou Hao
Bachelor's in Physics from Peking University, PhD in Physics from Rice University, returned overseas Chinese from Wall Street. Holds a US patent in mathematical modeling. Previously served as a quantitative analyst at Morgan Stanley, Vice President at Barclays Capital, and Senior Statistician at *Capital. Led the construction of quantitative models and data mining systems used for risk asset management at the scale of hundreds of billions of dollars, established *Capital's billion-user market strategy based on transaction behavior, and led the team to efficiently build Barclays' risk model strategy frameworks, standards, and processes. Fields of expertise include credit, fixed income, and securities.
Co-founder & Chief Data Officer Wang Ni
Bachelor's in Electronics from the Special Class for the Gifted Young of the University of Science and Technology of China, PhD in Statistics from the Georgia Institute of Technology. Previously served as Senior Statistician at *Capital Headquarters and Senior Data Scientist at Google. Led the team to develop user browsing models, optimized the core search algorithm of Google Maps to improve search quality; developed dynamic advertiser user models to enhance product experience and front-end efficiency; and built anti-fraud models and strategies for credit card transaction behavior of tens of millions of users.
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