Overview

The Deep Learning in Finance Summit took place in Singapore on April 27-28 2017. Speakers included: Edouard D'Archimbaud, Data Scientist leading the Data & AI Lab at BNP Paribas; Edmond Chin, Data Analyst at NTUC Income; and Jackie Tan, Co-Founder of fundmylife.

Topics explored included: Deep Learning in Customer Analytics; Predicting Financial Markets; InsurTech; and Deep Learning for Compliance and Credit Scoring.

Featured Presentations

Watch our featured videos below for free. Scroll down to view the full library of presentations from the event and to purchase access to all the recorded sessions.

Applying Autoencoding in Finance

Scott Treloar, Founder at Noviscient

Autoencoders are neural networks that are trained to replicate input using less information. In this presentation we explore the use of autoencoding to learn about latent factors that drive security returns. We extend this approach to create a dynamic autoencoding model. We apply these approaches to both simulated and actual...

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Price Returns Prediction using Recurrent Neural Networks with Long Short Term Memory (LSTM) Units

Sujit Khanna, Quantitative Researcher - Algorithmic Trading at Edelweiss Financial Services

Traditionally RNNs have been used for text classification and sentiment analysis; in this paper, we extend the idea to price returns prediction. The primary objective of the models will be to accurately predict 5-minute price returns based on multiple price based features. In our network, we use stacked LSTMs instead...

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Learning to Trade with Q-RL and DQNs

David Samuel, Co-Founder at RKR Epsilon & Prediction Machines

Price changes in financial products are largely random, representing an efficient market, but are often supplemented by salient features that provide additional structure which can be exploited for trading profits. Experienced traders are skilled at identifying such features and deploying profitable exploits. We present some methods for learning such exploits...

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Interview with Edouard d'Archimbaud, BNP Paribas

Edouard d'Archimbaud, Data Scientist | Leading the Data & AI Lab at BNP Paribas

This interview took place at the Deep Learning in Finance Summit, Singapore 2017. RE•WORK sat down with Edouard to find out his opinion on the following questions: - What motivated you to start your work in deep learning? - Why is unstructured data important in banking? - Will Deep Learning...

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Chetna Goyal, Nanyang Technological University; Sujit Khanna, Edelweiss Financial Services; Richard Waddington, Sherpa Funds Technology; Julian Low, Vertex Ventures

Deep Learning in Finance Summit, Singapore 2017

8+

Hours of content

36

Speakers

7

Interviews

Overview

Featured Presentations

Full Presentation Library

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