12 December 2017
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Jose Pierre

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Jose Pierre - Marketware International, Inc.

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Innovation in Financial Services

Innovation in Financial Services

A discussion of trends in innovation management within financial institutions, and the key processes, technology and cultural shifts driving innovation.

ARTIFICIAL INTELLIGENCE, AUTOMATION FOR FINANCIAL SERVICES

14 November 2017  |  4081 views  |  1

It is no longer a question that Emerging technology, such as robotic process automation (RPA) and, cognitive computing will have great impact on our businesses in years to come and, will undoubtedly transform the workforce of the future across the financial sector.  Today, RPA is at the forefront of human-computer technology and promises to provide those in the financial services industry with a virtual workforce that is rules -based and able to connect with a company’s systems similar to the way users do.   

RPA is expected to be part of the hybrid workforce of the future.  
Robotics Process Automation (RPA), a characteristic of intelligent process automation are logic-driven robots that can execute pre-programmed rules on structured and unstructured data. Overtime, robots are able to learn from prior decisions and data patterns to make decisions by themselves at machine-speed and, to perform a great number of repetitive operational functions 24 hours a day, seven days a week.  Recent reports have highlighted that RPA will result in more productive relationship between people and machines through deeper analytics and recommendation engines, strengthening client services and product needs. 

Looking back; when the internet was created there was no way to predict some of the impact to Financial Services and other industries that we take for granted today.  As an example, over the past decade we have seen quality improvements with speech recognition which has led to the creation of digital assistants Siri and Alexa. “speech is expected to replace touch-typing for input…” recently said Ruhi Sarikaya, director of Amazon Alexa.   For Financial institutions the key is to embrace the next wave of robotics technology to drive business outcomes and, to use these tools to automate a wide range of activity. 

With robotics, automation of recurring functions is possible at the front office and, back office freeing people to focus and work on high value tasks that are more complex.  These functions are achieved through software bots that interface in the same ways humans do with the same sets of applications.  Applying AI to front-office client interactions, such as client on-boarding - documentation requirements verification, compliance, legal and credit checks, portfolio allocation and rebalancing, operational activation of account in trading and settlement systems will significantly increase processing speed. 

Financial services institutions aiming to utilize RPA need to think differently. 
One of the great advantages of RPA is the speed and relatively low cost of implementation.  However, Institutions that are considering implementing RPA must first select the process candidates for automation and ensure that the operating model for RPA can be supported.  Having an effective governance in place that covers as example the standards, organizational buy-in from individuals and internal groups that will be affected by automation at the onset is critical to maximize value, placing a focus on developing the metrics, execution strategies and, change management are necessary. Financial Institutions that are able to adjust their organization and culture to take in intelligent automation as collaborators, rather than “people replacements”, could achieve significant success.

Recent marketplace research have identified areas for consideration for automation in Financial Services.  The following are some initial examples.  Each organization will have unique additional processes.

Banking and Capital Markets

  • New account entry across systems – moving data and doing multiple entries
  • Fraud detection
  • Account reconciliation 
  • Entitlement engine
  • Report generation across systems and generated
  • eForm extraction
  • Mortgage approval.  Refinancing processes for initial entry and updating records
  • Receive/track dividend, interest, and amortized principal payment information
  • Notification of delinquent loans – emails and letters to clients
  • KYC/AML authentication
  • Credit card order processing 
  • Audit support and validation
  • Inactive account purging

 

 

 

 

TagsArtificial Intelligence

Comments: (2)

Tayloe Draughon
Tayloe Draughon - CloudQuant - Chicago | 16 November, 2017, 13:41

Thoughtful post, Jose!

With the need for MIFID II to have automated kill switches, there is a lot of opportunity for RPA in electronic trading and trade monitoring. Both the Buy Side and the Sell Side could significantly improve their operations if they utilize better RPA.

For years I have been a proponent of smart kill switches, not just a simple switch that allows someone to push a button to stop someone from trading. Electronic trading needs to have RPA on order and trade monitoring such that when someone exceeds their limits it allows for orderly liquidation and closing of orders. RPA could also assist in "Rogue Algo" detection. If orders are sent to the market too fast, our in an unusual manner, or maybe in violation of marketplace rules, then the kill switch could alert the trader, the manager, and if necessary, stop any new trading.  So far I have only seen a few vendors in the space of RPA with trade and order monitoring. For example, Edge Financial Technologies in Chicago has a KillSwitchPlus product that operates in this space.

There are still a lot of opportunities for Sell Side and Buy Side trading firms to use RPA to improve their businesses. At my employer, CloudQuant, we are using increased RPA techniques to improve how much we can accomplish with a team of very busy technologists and portfolio managers.  

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Jose Pierre
Jose Pierre - Marketware International, Inc. - Holmdel | 16 November, 2017, 20:30

Many Thanks Tayloe for the comment.  I agree on the opportunities listed.

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ARTIFICIAL INTELLIGENCE, AUTOMATION FOR FINANCIAL SERVICES

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Tayloe Draughon