Artificial Intelligence, Machine Learning, and Deep Learning are revolutionizing the financial technology industry.

Machine Learning and Deep Learning are growing and diverse fields of Artificial Intelligence (AI) that studies algorithms that are capable of automatically learning from data and making predictions based on data. Machine Learning and Deep Learning are two of the most exciting technological areas of AI today. Each week there are new advancements, new technologies, new applications, and new opportunities. It’s inspiring, but also overwhelming. That’s why we created this guide to help you keep pace with all these exciting developments. Whether you’re currently employed in the fintech industry, working with Produvia, or just pursuing an interest in the subject, there will always be something here to inspire you!

AI Research in FinTech

In order to take advantage of the exponential power of artificial intelligence, research is the first place to look. Luckily, we have done the hard work and compiled our favorite research papers as it relates to the financial industry.

Financial Forecasting

Financial Return Volatility

Stock Selection

Bankruptcy

Sentiment Analysis of Financial News

Bonds

Financial Microblogs and News

Behavioural Finance

Mortgage Risk

  • Predict mortgage risk based on housing prices, average incomes, and zip-code-level foreclosure rates, national-level prime and subprime mortgage rates using Deep Neural Network (DNN) (Sirignano et al. 2016)

Pratical AI In FinTech

There are many companies that are already using AI, machine learning, and deep learning in their products and services. Here are some of our industry favorites.

Financial Forecasting

  • Predict daily S&P 500 closing values based on historical S&P closing values, European and Asian/Oceanian indices using Deep Learning (Google)

Access Student Affordability and Creditworthiness

Credit Score & Loan Analysis

Accurate Decision-Making

Content/Information Extraction

Fraud Prevention

Building Trading Algorithm

Portfolio Management

  • Create chatbots, aka Robo-advisors, that calibrate financial portfolio based on goals and risk tolerance of the user (Betterment, Wealthfront)

Security 2.0

Sentiment / News Analysis

Customer Service

Financial Spending

  • Understand how account holders are spending, investing, and making their financial decisions (Venmo)

AI Ideas for FinTech

Want to explore your own fintech models? There are many artificial intelligence technologies that can be applied in the financial industry. Here are some ideas for your next data science project.

Financial Forecasting

Customer Service

  • Offer product or service recommendations by weighing previous account activities against current data provided by the client and from elsewhere using Machine Learning

Marketing

  • Predict the effectiveness of a marketing strategy for a given customer by analyzing web activity, mobile app usage, response to previous ad campaigns using Machine Learning

Financial Reports

Sales / Recommendations of Financial Products

Fraud Detection

Customer Segmentation

Asset Direction

Asset Affects

Asset Divergence

Asset Movement

Asset Prices

Asset Movement

Market Regime

Financial Event Occurrence

Market Stress

Noisy Data

Market Volatility

Article/News Sentiment

Article/News Topic

Financial Execution Speed

Quantitative Finance

Investment Portfolios

Risk Management

  • Predict creditworthiness by analyzing the applicant’s financial status, current market trends, and relevant news items using Machine Learning

Next Step

Do you work in the financial technology industry? Are you interested in developing artificial intelligence technologies to solve fintech problems?

Schedule a call with Slava Kurilyak, Founder/CEO at Produvia.