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Register and save 70%



Register and save 70%

Learn New Skills with AI for Finance Tools

Quantitative Finance is a necessity for any institution looking to be a major player in the industry. From chatbot assistants to fraud detection and task automation, the machine learning-enabled transformation in finance requires serious software engineering. These projects of the future promise to be some of the most exciting jobs in software engineering.

A Quantitative Analyst works at the intersection of finance and data science. At ODSC, learn essential quantitative modeling frameworks as well as how to use machine learning and reinforcement techniques to invest, trade, and manage risk in finance.

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What You'll Learn

Talks + Workshops + Special Events on these topics:


  • Recommendation System for Trading

  • Machine Learning for Algorithmic Trading

  • Deep Reinforcement Learning for Quant Trading

  • Streaming Analytics for Quant Trading

  • Alternative Data For Quant Trading

  • Sentiment Analysis for Quant Trading

  • Artificial Intelligence in Finance

  • and more…

Past AI for Finance Speakers

Why Attend

Immerse yourself in talks and workshops on AI in Quant Finance

With numerous introductory level workshops, get hands-on experience to quickly build up your skills

Post-conference, get access to recorded talks online and learn from over 100+ high-quality recording sessions that let you review content at your own pace 

Take time out of your busy schedule to accelerate your knowledge of the latest advances in data science

Learn directly from world-class instructors who are the authors of and contributors to many of the tools and frameworks used in quant finance today

Meet hiring companies ranging from hot startups to Fortune 500s looking to hire professionals with data science skills at all levels

Get speaker insights and training in AI frameworks such as TensorFlow, MXNet, PyTorch, Spark, Storm, Drill, Keras, and other AI platforms

Get access to other focus area content, including ML/DL, Data Visualization Big Data, and Open Data Science

More Reasons To Attend?

Download the why attend guide

Who should attend

  • Data scientists looking to model, monitor, measure, and attribute financial risk

  • Data scientists seeking to build robust quantitative tools

  • Anyone interested in learning how to understand, maintain, and improve infrastructure supporting investment process 

  • Business professionals and industry experts looking to understand data science ethics in practice

  • Software engineers and technologists who need to develop algorithms to solve algorithmic trading problems

  • CTO, CDS, and other managerial roles that require a bigger picture view of data science

  • Technologists in the field of Quant Finance and others looking to develop and enhance quantitative and statistical models using Python, R, and SQL

  • Students and academics looking for more practical applied training in data science tools and techniques

ODSC EUROPE Conference - April 5-6th, 2024

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Participate at ODSC Europe 2024

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More Info
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As part of the global data science community we value inclusivity, diversity,  and fairness in the pursuit of knowledge and learning. We seek to deliver a conference agenda, speaker program, and attendee participation that moves the global data science community forward with these shared goals. Learn more on our code of conductspeaker submissions, or speaker committee pages.

ODSC Newsletter

Stay current with the latest news and updates in open source data science. In addition, we’ll inform you about our many upcoming Virtual and in person events in Boston, NYC, Sao Paulo, San Francisco, and London. And keep a lookout for special discount codes, only available to our newsletter subscribers!

Open Data Science




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