Skip to main content
EDIT

Austin Pollok

  • Assistant Professor of Clinical Data Sciences and Operations
  • Assistant Professor of Clinical Finance and Business Economics

Austin Pollok is an Assistant Professor of Clinical Data Science and Operations at the USC Marshall School of Business, with a joint appointment in Finance and Business Economics.

Austin's research applies machine learning, AI, and statistics across financial markets, including volatility and options markets, corporate credit, portfolio construction and ETF design, and decentralized finance. Outside of USC, he has worked as a quantitative researcher at Capital Group and as a consultant to investment and trading firms.

He teaches undergraduate and graduate courses in quantitative investing, deep learning, and AI, and has been recognized with USC Marshall's Teaching Excellence Award and the Golden Apple Award.

Austin Pollok
Press Inquiries: COMMUNICATIONS@MARSHALL.USC.EDU

Areas of Expertise

Analytics
Artificial Intelligence (AI)
Corporate Bonds
Credit Risk
Decentralized Finance (DeFi)
Deep Learning
Financial Derivatives
Investment
Machine Learning
Options
Volatility

Departments

Data Sciences + Operations
Finance + Business Economics

NEWS + EVENTS

COURSES

Spring 2026
  • FBE-499
    Quantitative Investment Analysis
    Prediction of asset returns for constructing profitable investment strategies. Build, test, and implement the types of models inuse today by quantitative asset managers.
  • FBE-551
    Quantitative Investing
    Build, test and implement the types of models in use by quantitative asset managers.
  • DSO-545
    Statistical Computing and Data Visualization
    Data cleaning and reshaping; good vs. bad graphics; univariate, bivariate, trivariate, hypervariate and time series graphics; interactive graphics; web-related computing.
  • DSO-593
    Independent Research in Data Sciences or Operations
    Independent research beyond normal course offerings. Proposal, research and written report/paper required. Graded CR/NC.
Fall 2025
  • DSO-464
    Deep Learning for AI and Business Applications
    Basics of deep learning technologies for AI and utilizing current technologies in deep learning that are reshaping and driving the modern business with Big Data.
  • DSO-585
    Data-Driven Consulting
    Hands-on application of descriptive, predictive and prescriptive analytics to a unique business problem. Use business intelligence, programming and available tools to implement analytics-based solutions.
Spring 2025
  • DSO-464
    Deep Learning for AI and Business Applications
    Basics of deep learning technologies for AI and utilizing current technologies in deep learning that are reshaping and driving the modern business with Big Data.
  • DSO-585
    Data-Driven Consulting
    Hands-on application of descriptive, predictive and prescriptive analytics to a unique business problem. Use business intelligence, programming and available tools to implement analytics-based solutions.
Fall 2024
  • DSO-545
    Statistical Computing and Data Visualization
    Data cleaning and reshaping; good vs. bad graphics; univariate, bivariate, trivariate, hypervariate and time series graphics; interactive graphics; web-related computing.
  • DSO-585
    Data-Driven Consulting
    Hands-on application of descriptive, predictive and prescriptive analytics to a unique business problem. Use business intelligence, programming and available tools to implement analytics-based solutions.
  • DSO-545
    Statistical Computing and Data Visualization
    Data cleaning and reshaping; good vs. bad graphics; univariate, bivariate, trivariate, hypervariate and time series graphics; interactive graphics; web-related computing.
  • DSO-464
    Deep Learning for AI and Business Applications
    Basics of deep learning technologies for AI and utilizing current technologies in deep learning that are reshaping and driving the modern business with Big Data.
Spring 2024
  • DSO-464
    Deep Learning for AI and Business Applications
    Basics of deep learning technologies for AI and utilizing current technologies in deep learning that are reshaping and driving the modern business with Big Data.
  • DSO-598
    Special Topics
    Selected topics reflecting current trends and recent developments in data sciences, operations management, supply chain management and/or decision support systems. Online registration open only to graduate business students. Graded CR/NC.
  • DSO-559
    Introduction to Python for Business Analytics
    Python programming for descriptive data analytics and technical tools for business applications. Solving business problems and formulating actionable business recommendations including their limitations.
  • DSO-459
    Business Analytics with Python
    Implement strategies and approaches for defining, performing and presenting business analytics. Analyze cases through the lens of descriptive, predictive and prescriptive tools. Uses Python programming.
Fall 2023
  • DSO-598
    Special Topics
    Selected topics reflecting current trends and recent developments in data sciences, operations management, supply chain management and/or decision support systems. Online registration open only to graduate business students. Graded CR/NC.
  • DSO-570
    The Analytics Edge: Data, Models, and Effective Decisions
    Decision making under uncertainty using real data applying the most advanced optimization, statistical and probability methods. Duplicates credit in former IOM 570.
  • DSO-459
    Business Analytics with Python
    Implement strategies and approaches for defining, performing and presenting business analytics. Analyze cases through the lens of descriptive, predictive and prescriptive tools. Uses Python programming.