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Machine Learning and AI for Financial Professionals

August 12, 2019 | 8:30 AM - 5:00 PM

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Please note that this course will reference Python and cloud-based technologies, but Python/technical experience is not required to attend.

Overview

Data science, machine learning and artificial intelligence (AI) are becoming more widely used in the investment industry to augment traditional investment decision making. This one day, hands on course brings clarity to how AI and machine learning are revolutionizing financial services. We will introduce key concepts and, through examples and case studies, will illustrate the role of machine learning, data science techniques, and AI. The curriculum will not teach attendees to write code or run experiments in Python, it will provide an intuitive understanding to machine learning with just enough mathematics and basic statistics.

Modules

ML and AI: An intuitive Introduction

  • Machine Learning vs Statistics: How has the world changed?
  • Key drivers influencing the adoption of Machine Learning and AI
    • Big Data, Hardware, Fintech, AI, Alternative Data
  • Key applications
    • Credit risk, Personalization, Predicting risk, Portfolio optimization and selection
  • A deep dive on Machine Learning and AI methods
    • Supervised Learning (Regression, Random Forest and Neural Network)
    • Unsupervised Learning (K-means)
    • Deep Learning (Keras)
    • Reinforcement Learning
    • Performance evaluation and tuning

Case study 1: Predicting interest rates and credit risk using Alternative data sets.

  • Exploring and Visualizing large datasets:
  • Building a Credit risk model using Regression, Random Forest and Neural Network Algorithms
  • Tuning your model
  • Automatic Machine Learning

Case study 2: Analyzing Earning calls using text analytics

  • Making sense of Text and Natural Language Processing- The Decalogue
  • Sentiment Analysis: How to interpret sentiments and use it in stock selection?
  • Comparing Amazon, Google, Microsoft APIs for Sentiment Analysis

Frontier topics

  • Key issues in adopting AI and Machine learning into investment workflows
  • How will Machine Learning and AI change the investment industry
  • Frontier topics
    • Anomaly detection
    • Reinforcement learning
    • Risk in Machine Learning and AI
    • Model governance, Interpretability and Model Management

Sponsorship Overview

For over 80 years, CFA Society New York—formerly known as New York Society of Security Analysts (NYSSA)—has been a leading forum for the exchange of information among investment professionals. Our mission is to raise standards of practice in the industry for the ultimate benefit of society. Towards that goal, CFA Society New York content is curated by volunteer practitioner interest groups that strive to shape the future of the industry. A bold line exists between the financial support by organizations to maintain the quality of our programming and the selection of speakers who contribute to dialogue in our community. To that end, a ceaseless commitment to transparency is something we consider foundational to our cause.

Please be advised of the following information related to Society sponsorship and support:

Through financial support and other means of in-kind support, each event sponsor, event partner, event co-host and organizational partner of CFA Society New York plays a valuable role in the furtherance of the range of forward-thinking initiatives that underpin the Society’s values, and toward our mission to deliver Society content and programming of the highest quality and standard.

CFA Society New York thanks all of its sponsors, event-related affiliates and organizational partners for helping us continue to shape the conversation of the investment community.

Legal Notice and Disclaimer

CFA Society New York (including its employees and agents) assumes no responsibility for presenters or consequences resulting from the use of information or content of such information presented, including (but not limited to) errors or omissions, the accuracy or reasonableness of factual or scientific assumptions, studies or conclusions, the defamatory nature of statements, ownership of copyright or other intellectual property rights, and the violation of property, privacy, or personal rights of others. The CFA Society New York is not responsible for, and expressly disclaims all liability for, damages of any kind arising out of use, reference to, or reliance on such information. No guarantees or warranties, including (but not limited to) any express or implied warranties of merchantability or fitness for a particular use or purpose, are made by CFA Society New York with respect to such information. CFA Society New York does not endorse, approve, or certify such information, nor does it guarantee the accuracy, completeness, efficacy, timeliness, or correct sequencing of such information. All presentations represent the opinions of the presenters and do not represent the position or the opinion of CFA Society New York or its members. Reference by the presenters to any specific commercial product, process or service by trade name, trademark, service mark, manufacturer, and corporation or otherwise does not constitute or imply endorsement, recommendation, or favoring by CFA Society New York.

CFA Society New York strives to be a community for diverse opinions and differing perspectives, and the views and opinions expressed by speakers, presenters and/or organizers at events do not necessarily state or reflect those of CFA Society New York.

CFA Society New York expects all attendees to comply with CFA Society New York’s Code of Conduct while attending CFA Society New York events or meetings. CFA Society New York expressly reserves the right, in its sole discretion, to grant or deny access to any individual, or to expel any individual from any CFA Society New York event or meeting.

Inclement weather

CFANY reserves the right to cancel or reschedule all in-person events within 48 hours when inclement weather has been forecasted and travel is restricted by city officials.  The program may also be produced solely via livestream in such circumstances.  Please note the cancellation policy regarding refunds and substitutions.

Refunds, Cancellations, and Substitutions

  • 72 HOURS ADVANCED NOTICE OR MORE:
    • Full refund issued
  • WITHIN 48 HOURS OR AFTER EVENT HAS STARTED:
    • No refund

All requests for cancellation or refunds must be sent to seminars@cfany.org.

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CFA Society New York, Inc. (“CFA NY”) is not a Registered Investment Advisor, Broker/Dealer, Financial Analyst, Financial Bank, Securities Broker, or Financial Planner. While CFA NY seeks to present accurate and reliable information, CFA Society New York does not endorse, approve, or certify such information, nor does it warrant or guarantee the accuracy, completeness, efficacy, timeliness, or fitness of such information for any particular purpose. Information presented may or may not be current as of the date of the presentation, and CFA Society New York has no duty to update and maintain the information, reports, or statements made during events.

The information presented is provided for information purposes only, and is not intended to be and does not constitute financial advice, investment advice, trading advice, or any other advice, is general in nature, and is not specific to you.

None of the information presented is intended as an offer or solicitation of an offer to buy or sell, or as a recommendation, endorsement, or sponsorship of any security, company, or fund.