Jiawen Wu, Frm
About Jiawen Wu, Frm
Jiawen Wu is a Big Data and Quantitative Analyst with a strong background in mathematics and statistics. He has worked in various roles across multiple companies, including SAP and FINRA, and holds several certifications in data processing and visualization.
Work at FINRA
Jiawen Wu has been employed at FINRA as a Big Data/Quantitative Analyst since 2020. In this role, Wu focuses on applying quantitative analysis techniques to enhance regulatory technology solutions. The position involves leveraging big data analytics to support FINRA's mission of protecting investors and ensuring market integrity. Wu's expertise in machine learning and deep learning contributes to the development of innovative solutions within the organization.
Education and Expertise
Jiawen Wu holds a Master’s Degree in Actuarial Science from Columbia University, completed from 2015 to 2017. Wu also earned two Bachelor’s Degrees in Applied Mathematics and Statistics from Xiamen University, studying from 2011 to 2015 and 2012 to 2014, respectively. Additionally, Wu participated in an exchange program at National Tsing Hua University, studying Mathematics from 2013 to 2014. Wu's educational background provides a strong foundation in quantitative analysis and data science.
Professional Experience
Prior to joining FINRA, Jiawen Wu gained diverse experience in various analytical roles. Wu worked as a Data Analyst at SAP from 2017 to 2018, and as a Software Development Engineer In Test at M&T Bank from 2018 to 2019. Wu also completed internships, including a Research Analyst Intern position at EXR in 2016 and a Reinsurance Pricing Summer Project at Crum & Forster in the same year. These roles contributed to Wu's expertise in data analysis and software development.
Certifications and Skills
Jiawen Wu holds several certifications that demonstrate proficiency in data analysis and programming. Wu is certified as an Associate Developer for Apache Spark and as a Tableau Certified Associate, indicating expertise in big data processing and data visualization. Additionally, Wu possesses certifications in Python Accessing Web Data, Data Structure, and Database, showcasing a strong foundation in programming and data management. Wu is skilled in using advanced machine learning frameworks such as Tensorflow and Scikit-learn.