Ying Wang Email & Phone Number
@sunpower.com
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Who is Ying Wang? Overview
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Ying Wang is listed as Data science lead | ex-Amazon at Divisions Maintenance Group, based in Seattle, Washington, United States. AeroLeads shows a work email signal at sunpower.com and a matched LinkedIn profile for Ying Wang.
Ying Wang previously worked as Senior Data Scientist at Divisions Maintenance Group and Director of Data Science, Financial Product at Sunpower Corporation. Ying Wang holds Master'S Degree, Computational Finance & Risk Management from University Of Washington.
Email format at Divisions Maintenance Group
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AeroLeads found 1 current-domain work email signal for Ying Wang. Compare company email patterns before reaching out.
About Ying Wang
• 10+ years of experience in Data Science and Business Intelligence; 3+ years of experience as people manager and built Data/Analytics team from scratch.• Proficient in ML covering statistical models, timeseries models, optimization models and GPT models; data solution using Snowflake, Fivetran, DBT, S3, ETL, PowerBI; cloud computing using AWS services such as SageMaker, S3, Lambda.
Listed skills include R, Matlab, Vba, Statistics, and 8 others.
Ying Wang's current company
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Ying Wang work experience
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Director Of Data Science, Financial Product
I build the SunPower Financial (SPF) Data Science team with two main functionalities:1. Business Intelligence (BI).• Building centralized Snowflake data warehouse for SPF.• Integrating data from different sources using Fivetran, DBT, S3, Prefect, etc.• Developing automated Weekly Business Reports and interactive business dashboards.• Enabling self-service data need of the org.2. Analytical Modeling. It provides scientific solutions and services to optimize business and credit decisions for SunPower to offer financial products to customers. We design and deploy highly performant Statistical, Mathematical and Economic models and systems, as well as conduct relevant scientific analyses in depth to drive business growth, maximize economic profit, while optimizing portfolio risk and strong model governance. Main science area includes:• Business Growth Science: supporting customer acquisition and product offering by developing predictive models and dashboards to help make better business decisions. • Capital Markets Models: optimizing the allocation of Loans and Leases to different facilities by maximizing the portfolio revenue while meeting different concentration limits.• Risk Management: managing customer delinquency risk at the portfolio, segment and individual level, by developing Forecasting and Early Warning capabilities to monitor business risk outlook; monitoring dealer risk by developing dealer risk scores.• Credit Decision Science: building the best-in-class Credit Decision Models at the individual customer level, using science to drive optimized decisions based on credit risk and other characteristics through credit product lifecycle.
Sr. Data Scientist
Amazon Business Payment - Lending Invoicing. • Conducted credit product loss metric analysis and goal setting.• Led team to build Early Warning System to monitor portfolio risk.• Led team to forecast credit product volume and loss rate for business planning.• Led Model Risk Management guideline setup and implementation across research and engineering team.• Act as science consultant/reviewer in research team.
Data Scientist Ii
Amazon Business Payment - Lending Invoicing. • Built in-house credit assessment for Germany Amazon Business Pay-by-Invoice from ground.• Developed expected loss model for WW Amazon Business Pay-by-Invoice.• Built portfolio health monitoring and loss rate estimate during COVID pandemic period.• Causal analysis for credit assessment system delay on customer behavior.• Analyzed portfolio vintage loss rate and illustrated short-term and long-term loss effect.
Quantitative Analyst
• Develop factor models and market risk dashboard to aggregate and predict market information• Automate option data and strategy screening reports• Monitor tail risk hedging portfolio and provide volatility analysis as well as derivative strategies• Develop equity signal model using fundamental valuation factors• Research on algorithm trading strategies and develop systematic trading tools• Identify data needs and develop an extensive database for enhancing capital markets research• Build quantitative models and strategies with a framework for back-test using statistical programs across multiple asset classes
Quantitative Analyst Intern
• Streamline and automate volatility analytics, correlation analytics and option strategy analytics dashboard• Actively backtest and monitor currency hedging strategies• Monitor and apply scenario tests on tail risk hedging portfolio, and analyze the portfolio strategies• Analyze portfolio liquidity with different scenarios, and determine the alert zones.
Customer Manager Assistant Intern
• Assisted in preparing loan documents and loan report• Helped to take due diligence on customers guided by procedures• Maintained all credit documents and database, and did statistical analysis
Research Assistant
Professor Hengjin Cai, Supervisor• Led team to employ GARCH Monte Carlo exotic option pricing models and develop investment strategies• Led R&D Group to employ optimization programming methods to construct stock pools, and develop replicating algorithm with Copula Theory• Analyzed people's uploading and commenting activities on Chinese online video website with statistical models• A paper titled "Copula-Garch Analysis of Chinese Stock Market Dependence Structure" was published on Advances in Intelligent and Soft Computing, 2012Professor Hongfeng Peng• Analyzed the relationships among CO2, FDI and GDP in different provinces of China with the Panel Granger Causality Methodology
Ying Wang education
Master'S Degree, Computational Finance & Risk Management
Bs, Financial Engineering
Education record
Frequently asked questions about Ying Wang
Quick answers generated from the profile data available on this page.
What company does Ying Wang work for?
Ying Wang works for Divisions Maintenance Group.
What is Ying Wang's role at Divisions Maintenance Group?
Ying Wang is listed as Data science lead | ex-Amazon at Divisions Maintenance Group.
What is Ying Wang's email address?
AeroLeads has found 1 work email signal at @sunpower.com for Ying Wang at Divisions Maintenance Group.
Where is Ying Wang based?
Ying Wang is based in Seattle, Washington, United States while working with Divisions Maintenance Group.
What companies has Ying Wang worked for?
Ying Wang has worked for Divisions Maintenance Group, Sunpower Corporation, Amazon, Verus Investments, and Shanghai Pudong Development Bank.
How can I contact Ying Wang?
You can use AeroLeads to view verified contact signals for Ying Wang at Divisions Maintenance Group, including work email, phone, and LinkedIn data when available.
What schools did Ying Wang attend?
Ying Wang holds Master'S Degree, Computational Finance & Risk Management from University Of Washington.
What skills is Ying Wang known for?
Ying Wang is listed with skills including R, Matlab, Vba, Statistics, Eviews, C++, Quantitative Finance, and Bloomberg.
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