Patrick Ding

Patrick Ding Email and Phone Number

Graduate Student
Patrick Ding's Location
College Station, Texas, United States, United States
Patrick Ding's Contact Details
About Patrick Ding

Patrick Ding is a Graduate Student.

Patrick Ding's Current Company Details

Graduate Student
Patrick Ding Work Experience Details
  • Microsoft
    Data Scientist Intern
    Microsoft Jun 2021 - Aug 2021
    Redmond, Washington, United States
    • Evaluated double machine learning for estimating device specific causal effect of operating system update using AB test data• Processed terabytes of device telemetry data using internal SQL‑like tools and Spark to clean, merge, and engineer features for analysis• Shared problem findings throughout the team and to senior leadership, including a presentation for the Chief Product Officer
  • Adobe
    Data Scientist Intern
    Adobe May 2018 - Aug 2018
    Lehi, Ut
    • Implemented nested Monte Carlo estimators of KL divergence between MCMC, variational Bayes, and MAP posteriors of state space modelsusing R, Stan, and C++• Evaluated machine learning models for predicting loss of accuracy of approximate inference algorithms for state space models • Demonstrated viability of model for predicting when MAP gives accurate estimates
  • Ab
    Multi-Asset Solutions Rotational Associate
    Ab Jun 2015 - Jun 2017
    Greater New York City Area
    • Guided investment decisions in Emerging Markets Multi Asset Portfolio with more than one billion dollars in assets by developing factor regression model for emerging market equity and foreign exchange returns• Guided investment decisions for variance swap sleeves with tens of millions of dollars in assets by building Matlab tools for back testing timing and selection strategies and developing factor regression model for predicting variance swap returns• Expanded firm’s risk management and volatility forecasting capability by modeling option implied volatility surface with factor regression model• Enabled firm to fulfill more stringent requests for proposal by creating realistic option simulator in Matlab supporting complicated trading, expiration, and hedging behavior with multiple assets• Discovered errors in competitor’s analysis of a trading strategy using option simulator , leading group to take on more successful call selling strategy• Impacted firm’s option rolling implementation by discovering excess returns dependent on expiration date using option simulator• Accelerated team’s analysis and model building for other funds , including Real Return Portfolio with more than one billion dollars in assets by developing Matlab and SQL tools for data loading and formatting• Communicated model results to team through daily updating Excel reports by interfacing Matlab COM automation and SQLserver databases
  • Alliancebernstein
    Multi-Asset Solutions Intern
    Alliancebernstein Jun 2014 - Aug 2014
    Greater New York City Area
    Researched currency exchange rate volatility strategies to investigate income and protection potential• Collected and analyzed currency options data using Matlab and Excel• Examined returns from selling currency variance swaps calculated from options prices• Backtested factor-based timing strategies involving currency variance swaps

Patrick Ding Skills

Java C R Matlab Microsoft Excel Sas Microsoft Word Microsoft Powerpoint Python Latex Mathematica Statistics Javascript Node.js Sql Git Html Css Jade

Patrick Ding Education Details

Frequently Asked Questions about Patrick Ding

What is Patrick Ding's role at the current company?

Patrick Ding's current role is Graduate Student.

What is Patrick Ding's email address?

Patrick Ding's email address is pa****@****bal.com

What schools did Patrick Ding attend?

Patrick Ding attended Texas A&m University, Princeton University.

What are some of Patrick Ding's interests?

Patrick Ding has interest in Classical Music, Table Tennis, Tennis.

What skills is Patrick Ding known for?

Patrick Ding has skills like Java, C, R, Matlab, Microsoft Excel, Sas, Microsoft Word, Microsoft Powerpoint, Python, Latex, Mathematica, Statistics.

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