ML in Finance

7 Ways Fintechs Use Machine Learning to Outsmart the Competition:

Applications for Machine Learning in Finance
– Fraud prevention
– Risk management
– Investment predictions
– Customer service
– Digital assistants
– Marketing
– Network security
– Loan underwriting
– Algorithmic trading
– Process automation
– Document interpretation
– Content creation
– Trade settlements
– Money-laundering prevention
– Custom machine learning solutions

Machine Learning in Finance – Present and Future Applications

Machine Learning in Finance – Current Applications

  • Portfolio Management
  • Algorithmic Trading
  • Fraud Detection
  • Loan/Insurance Underwriting

Future Value of Machine Learning in Finance

  • Customer Service
  • Security 2.0
  • Sentiment/News Analysis
  • Sales/Recommendations of Financial Products

Relevant Companies
Below is a short list of organizations relating to the application areas above:

Portfolio Management – Betterment, Schwab Intelligent Portfolios

Algorithmic Trading – Renaissance Technologies, Walnut Algorithms

Fraud Detection – Kount, APEX Analytics

Loan / Insurance Underwriting – Compare.com

Customer Service – Kasisto

Security 2.0 – FaceFirst, Cognitec

Sentiment / News Analysis – Hearsay Social