Liwen Ouyang

Data Analyst

https://www.opentalent.in/liwen-ouyang

Machine Learning R&D in FinTech

Bloomberg

Key Strengths

Extensive experience in quantitative research, machine learning, and data science roles at reputable companies like Bloomberg and American Express.
Strong academic background with a PhD in Industrial Engineering and Management Sciences from Northwestern University and a double major in Mathematics and Applied Mathematics.
Demonstrated ability to lead teams and projects, as evidenced by the 'Team Lead Enterprise Quantitative R&D' role at Bloomberg and 'Data Science Manager' at American Express.
Proficiency in developing and applying advanced machine learning models, feature engineering, and statistical analysis techniques.
Experience with large-scale data cleaning, modeling, and optimization problems, including SQL and SAS for data manipulation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's extensive experience across various data-intensive roles (AI Engineer, Quantitative Researcher, Data Science Manager) and industries (finance, insurance, academia) demonstrates a broad skill set and adaptability. Their academic background and continuous engagement in advanced technical roles align well with a culture that values innovation and deep analytical capabilities. The transition from AI Engineer to Data Analyst might indicate a desire for a more focused analytical role, which could be a good fit if the target role involves complex data analysis and strategic insights.

Soft Skills & Operational Fit

The candidate's experience as a Team Lead and Manager suggests strong leadership, project management, and potentially good communication skills. Their research background indicates problem-solving and analytical thinking. The diverse project descriptions imply adaptability and a structured approach to complex problems.

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Education

Northwestern University

PhD, Industrial Engineering and Manegement Sciences

January 1, 2010 – January 1, 2015

Zhejiang University

BS/BA, Mathematics&Applied Mathematics, double major English

January 1, 2006 – January 1, 2010

Experience

Bloomberg

AI Engineer

July 1, 2024 – Present

Bloomberg

Team Lead Enterprise Quantitative R&D

May 1, 2021 – June 1, 2024

Bloomberg

Quantitative Researcher, Machine Learning

August 1, 2017 – May 1, 2021

American Express

Data Science Manager

January 1, 2016 – August 1, 2017

NYC

CNA Insurance

Predictive modeling intern

June 1, 2014 – August 1, 2014

CNA Insurance

Predictive Modeling Intern

June 1, 2013 – August 1, 2013

Chicago

Northwestern University

Research Assistant

May 1, 2013 – December 1, 2015

Evanston

SONIC Lab at Northwestern

Research Assistant

June 1, 2011 – May 1, 2013

Evanston

ING Life Insurance Company

Intern

January 1, 2010 – February 1, 2010

Hongkong

Key Strengths

Extensive experience in quantitative research, machine learning, and data science roles at reputable companies like Bloomberg and American Express.
Strong academic background with a PhD in Industrial Engineering and Management Sciences from Northwestern University and a double major in Mathematics and Applied Mathematics.
Demonstrated ability to lead teams and projects, as evidenced by the 'Team Lead Enterprise Quantitative R&D' role at Bloomberg and 'Data Science Manager' at American Express.
Proficiency in developing and applying advanced machine learning models, feature engineering, and statistical analysis techniques.
Experience with large-scale data cleaning, modeling, and optimization problems, including SQL and SAS for data manipulation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Liwen Ouyang

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Education

Experience

Key Strengths

Cultural & Operational Fit