Discover advances in AI & machine learning tools and techniques from the world's leading innovators across industry, research and the financial sector.

Join the conversation #REWORKFIN

Confirmed Speakers

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Laura McKiernan Boylan

Algorithmic Underwriting

Haven Life (Mass Mutual)

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Alberto Rossi

Associate Professor of Finance

University of Maryland

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Agnes Tourin

Industry Assistant Professor

New York University

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Jeffrey Yau

Global Head of Data Science

Alliance Bernstein

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Andrew Clark

Principal Machine Learning Auditor

Capital One

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Get to know the speakers

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Haven Life can offer the InstantTerm process, an innovation that means the startup can offer can underwrite a policy on behalf of MassMutual without a medical exam in minutes.

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In the move toward robo-advisors, with some clients entrusting their savings to fully automated investment tools, replacing human advisers altogether, Alberto Rossi, has been studying the rise of robo-advice and its role in the financial industry.

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Agnes applies her main areas of expertise in Mathematics - Stochastic Control, Hamilton-Jacobi equations, Partial Differential Equations, numerical and simulation techniques - to applications in Finance such as portfolio optimization, pairs trading, credit and liquidity risk and bank regulations. By conducting research in Quantitative Finance, Agnes aims to solve industrial problems.

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At Alliance Bernstein, Jeffrey Yau leads a data science team and is responsible for all of the data science initiatives.

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At Capital One, Andrew is establishing approaches for auditing and interpreting machine learning algorithms along with building machine learning tools to optimize the audit process.

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Why Attend

Speakers

Extraordinary Speakers

Discover advances in machine learning tools and techniques from the world's leading innovators across industry, academia and the financial sector. Speakers will share insights into recent breakthroughs in technical advancements and fintech applications including financial forecasting & compliance.

Tech

Discover Emerging Trends

Learn about machine learning applications in the financial sector from algorithms to forecast financial data, to tools used for data mining & pattern recognition in financial time series, to scaling predictive models, to stock market prediction, to using blockchain technology.

Network

Expand Your Network

A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the machine learning revolution. Learn from & connect with 200+ industry innovators sharing best practices to improve regulations, security and risk in the financial sector.

Who

Who Should Attend

  • Data Scientists
  • Data Engineers
  • Financial Regulators
  • CTOs
  • Founders
  • Directors of Innovation
  • Digital Finance Analysis Managers
  • Venture Capitalists
  • CFOs
  • CEOs
Speechbubbles

Join the discussion

  • 40 speakers
  • 200 leading technologists & innovators
  • Group brainstorming sessions
  • Interactive workshops
  • 7 + hours of networking
  • Access to all the filmed presentations
  • Discover technology shaping the future
Document

Downloads

View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.

Topics we cover

Stock Market Prediction
Stock Market Prediction
Financial Compliance
Financial Compliance
Financial Forecasting
Financial Forecasting
Blockchain
Blockchain
Retail Finance
Retail Finance
Robo Advisors
Robo Advisors
Insurance
Insurance
Fraud Detection
Fraud Detection

Previous Attendees Include

Accenture
Man AHL
ernst & young
white clarke group
jp morgan
hsbc
deutsche bank
raptor
rbc
barclays
amro bank
Northwestern Uni
Amazon
PwC
harvard uni
deloitte
citigroup
Universite de Montreal
Stanford University
DeepMind
kpmg
santander

Register

For general event enquiries, for information on not-for-profit or government rates, or to pay via invoice please contact the Customer Relationship Manager John McNicholas via john@re-work.co

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Previous exhibitors include:

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