Deep Learning in Finance Summit, Singapore 2017

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8+

Hours of content

36

Speakers

7

Interviews

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.

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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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Full Presentation Library

Deep Reinforcement Learning for Optimal Order Placement in a Limit Order Book

Ilija Ilievski, PhD Student at National University of Singapore

Interview with the Founders of I Know First

Yaron Golgher, I Know First; Lipa Roitman, I Know First

Aspect Extraction for Opinion Mining with a Deep Convolutional Neural Network

Sandro Cavallari, PhD Student at Nanyang Technological University

How Machine Learning is Transforming Finance

Sonam Srivastava, Quant Analyst at HSBC

Who Says You Can Trust Deep Learning Now?

Jie Fu, PhD Student at National University of Singapore

Joint Q&A with Edelweiss & HSBC

Soner Teknikeller, Lion & WSU; Sujit Khanna, Edelweiss Financial Services; Sonam Srivastava, HSBC

PANEL: How Will the Fintech Sector in Asia by Affected by AI?

Rasmi Ranjan Mohapatra, OCBC; Varun Mittal, EY; Gabriel Lundberg, SeedPlus

PANEL: How will Artificial Intelligence impact Financial Services?

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

Connecting Customers and Financial Advisers using Deep Learning

Jackie Tan, fundMyLife; Wesley Goi, fundMyLife

From Forecast to Trading System: Reinforcement Learning vs Supervised Learning

Lipa Roitman, I Know First; Yaron Golgher, I Know First

Artificial Neural Network (ANN) based Fraud Detection & Prevention in FinTech Industry

Ratnakar Pandey, India Head Analytics and Data Science at Kabbage

Deep Learning for Stock Market Prediction

Yue Zhang, Assistant Professor at Singapore University of Technology and Design

Fighting Fraudulent Claims with Deep Learning

Edmond Juin Fung Chin, Data Analyst at NTUC Income

Building Smart Chatbots with Deep Learning: From Retrieval-Based to Generative Models

David Low, Co-founder & Chief Data Scientist at Pand.ai

ML for Financial Markets: A Tool, Not a Magic Recipe

Joel Guglietta, Macro Quantitative Strategist at Graticule

Predictive Scoring Models

Alexey Pogrebnyak, Head of Analytics, APAC at Finstar

From Unstructured Text to Knowledge Graphs: How to Leverage Dark Data

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

Interview with the Founders of fundMyLife

Jackie Tan, fundMyLife; Wesley Goi, fundMyLife

Interview with Sonam Srivastava, HSBC

Sonam Srivastava, Quant Analyst at HSBC

Predicting Foreign Exchange Market Turbulence using Thick Neural Networks

Soner Teknikeller, Commercial Analyst (Rev.Strat.) and Economist at Lion & WSU

Transforming Insurance through Machine Learning

Siddhant Tiwari, Data Scientist at AXA Data Innovation Lab

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