Industry Related Events

Core Techniques and Applications in Finance 

Boston and Online
November 7-8, 2018

CFA Society Boston Members — Use code Affiliate to receive a 20% discount 

Day 1

On day one, we will review the core techniques in Machine Learning. Through examples we will understand the different machine learning techniques and review evaluation criteria

What you will learn
  • Machine Learning: An intuitive foundation
  • The Machine Learning pipeline
  • Supervised Learning: Classification and Prediction
  • Machine learning methods: Regression, KNN, Random Forests, Neural Networks
  • Evaluating performance
  • Case study 1: Predicting interest rates in Freddie Mac mortgage data
  • Case study 2: To give a loan or not using Lending club data
Day 2

On day two, we will discuss unsupervised learning techniques and discuss the role of Big Data and Deep Learning techniques for large-scale machine learning. We will also discuss best practices in scaling and using anomaly detection techniques.

What you will learn
  • Unsupervised learning: Clustering
  • Working with rare-class problems and Anomaly Detection
  • Machine Learning with Neural Networks: A deep dive
  • Deep Learning techniques
  • Wrap up and Best practices in Machine Learning
  • Case study 3: Using K-means for automatic clustering of stocks
  • Case study 4: Auto-encoder based Anomaly Detection for Credit risk with Keras and Tensorflow

Sri Krishnamurthy, CFA, CAP is the founder of, a data and Quantitative Analysis Company and the creator of the Analytics Certificate program and Fintech Certificate program. Sri has more than 15 years of experience in analytics, quantitative analysis, statistical modeling and designing large-scale applications. Prior to starting QuantUniversity, Sri has worked at Citigroup, Endeca, MathWorks and with more than 25 customers in the financial services and energy industries. He has trained more than 1000 students in quantitative methods, analytics and big data in the industry and at Babson College, Northeastern University and Hult International Business School. Sri is leading development efforts in creating a platform called QuSandbox for adopting open source and analytics solutions within regulated industries.


CFA Society Boston Members — Use code Affiliate to receive a 20% discount 

Harvard Kennedy School's Educational Programs
Investment Decisions and Behavioral Finance

November 14-16, 2018
Application Deadline: October 14, 2018

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Common biases. Irrational investment behaviors. Decision-trap situations. In today’s ever-changing and complex financial markets, senior executives responsible for managing client assets need to understand the factors that produce sub-optimal outcomes for investors. Led by a faculty of intellectual thought leaders and foremost practitioners, Investment Decisions and Behavioral Finance presents a revolutionary new science for investment decision making: behavioral finance. In two intensive days, you'll learn the central principles surrounding the psychology of decision making under conditions of risk and uncertainty, with a focus on practical applications for those responsible for managing assets and constructing portfolios for investment clients.

The Science Behind Investment Decision Making

Investment Decisions and Behavioral Finance will enable you to:

  • Understand the applied science of effective decision making.
  • Discover how our brains are not wired to deal with the decisions that modern financial markets require and ways to adjust for these shortcomings.
  • Learn how and why financial bubbles develop and strategies for recognizing them.
  • Identify the psychological reasons that lead investors to make severe investment errors.

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