Cindy Lin

Adjunct Instructor @Worldquant University

San Francisco, CA, US
EMAILS
c••••••••@wqu.edu
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Aug 2025 — Present

Adjunct Instructor @Worldquant University

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EDUCATION

N/A

Carnegie Mellon University

Master of Science (M.S.), Computational Finance

N/A

University of Toronto

Bachelor of Commerce and Actuarial Science, Commerce, Actuarial Science

SKILLS

MongodbBloombergTableauTime Series AnalysisMicrosoft ExcelFinancial ModelingOctaveStatisticsProject ManagementMandarinDerivativesFinancial AnalysisRegression AnalysisVbaJapaneseAssociate of Society of Actuaries (Asa) CandidateMarketingPortfolio ManagementMatlabFixed IncomeOptimizationCurve Building and OptimizationPythonRisk ManagementPrinciple Component AnalysisData AnalysisTradingActuarial ExamsProduct ManagementSqlQuantitative FinanceActuarial SciencePrincipal Component AnalysisBusiness AnalysisAnalysisVarData ScienceQuantitative ResearchValue at Risk (Var)Analytical Skills

ABOUT CINDY LIN

I am passionate about personalization, customization, and recommendation in investment, as well as using AI to help moms. I’ve built and designed recommendation systems and customizable investment products to help retail investors make better decisions and am committed to creating impactful solutions for moms as well.Career Highlights- Built product prototypes leveraging open source solutions- Designed algorithms that resulted in 6x improvements in revenue- Improved optimization model run time by 50%- Developed a process to unify transactional data across various vendors daily for reconciliation- Designed a proprietary recommendation system for similar stocks- Developed an optimization-based model to create personalized investment products- Created a system to generate a large variety of thematic investment products daily- Scaled a data science team from zero to one- Launched an online retail business that connected US makers with international customersSpecialties: Quantitative Investing. Portfolio Management, Risk Management, Machine Learning, Optimization, Trading, Financial Modeling, Statistical Modeling, Data Analysis, Data Mining, Time Series Analysis, Predictive Modeling, Recommendation SystemProgramming Language and Tools: Bloomberg, MSCI Barra, Microsoft Office, Python, R, SQL, AWS (Amazon Web Services),DBT, Snowflake, Metabase#investing #financialdata #aiinfinance #wealthtech #quantitativefinance #AIforMoms

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