Fintech Company Makes Money By Selling Money

BookMyForex is an Indian Fintech company that allows customers to buy foreign currency online at a rate lower than that of the foreign exchange companies, banks, hotels, and airports. Customers can choose among options such as a foreign exchange card, hard currency, traveler’s cheques, or international remittances.

The company compares foreign exchange rates across foreign exchange companies and banks in real time, and it uses an algorithm to determine the best vendor to service a customer’s request. Once a vendor is selected, BookMyForex contacts the customer and fulfills the request within six hours. BookMyForex makes a profit through adding its own margin on top of the exchange rate.

I can see the appeal in simplifying the process of currency exchange. If I’m traveling, I would want the best rates. The current retail currency market has room for expansion; according to a Bloomberg report in 2016, the global currency market has an average daily volume of over $5 trillion. In order to be competitive in the online foreign exchange marketplace, BookMyForex and other similar companies must ensure the lowest rates, system stability, foreign expansion. With the rising use of e-wallets, BookMyForex should consider providing such an option, too.

Reference:  http://www.bloombergquint.com/business/2017/02/11/fintech-tracker-can-bookmyforex-make-money-by-selling-money

Users of Machine Learning in FinTech

A discussed in the previous post, the evolution of machine learning in FinTech, it is time to pin point prospective users to appropriate resources. As discussed before, the application of Machine Learning expands to –

  1. Predictive analysis for credit score and bad loans.
  2. Support accurate decision making.
  3. Information Extraction.
  4. Fraud Detection & Identity Management.
  5. Building Trading Algorithm
    and many more…

However, for organizations planning to work in the above mentioned areas of expertise (and having no knowledge of how things are done), I feel it is a good idea to seek help (at least in terms of consulting) from businesses who are into this domain.

  • Lending Club, Kabbage, LendUp specialize in Predictive analysis for credit scores and bad loans so according to me it is a great go to market option for lending organizations to seek their advice.
  • Affirm, ZestFinance, Billguard are into users of data that support decision making. They all consume and analyze vast amounts of data.
  • DataMinr, AlphaSense work to achieve real time information discovery and information de-fragmentation respectively.
  • Feedzai, Bionym, BioCatch are in different industries but have common interests towards fraud management and they leverage it my natural language processing and machine learning.
  • KFC Capital, Binatix are pure finance based firms and use state-of-the-art machine learning algorithms to support their trading algorithms. 

     

    Detailed List at – https://letstalkpayments.com/applications-of-machine-learning-in-fintech/

3 Steps Fintech Companies Need to Take In Order To Survive

Chris Myers, the contributor of this article, starts of by saying that he is a believer that the financial technology sector is failing to live up to the hype. He is right in the sense that fintech has not totally disrupted the traditional financial sector as stated in many sources however, I think the point is that fintech is positioned in so many of the areas that financial institutions source their revenue from, that there is potential for them to be legitimately threatened. Myers’ first point is to “Ensure you have the right investors”. Ultimately, because many investors have three to five year investment horizons, some fintech companies feel pressured to do too much in a short period of time which leads to short-sighted mistakes. The problem with this, is that because the Fintech industry is growing so quickly, if a company is not quick enough then it will get left behind. The second point Myers makes is “Stay lean and don’t act like a tech startup”. Fintech companies must not act like startups and make slow changes. Again, this may give competition and the traditional financial corporations to outpace them. Finally, the third point is to “Show respect for the incumbents, but hedge your bets”. Fintech companies may find it hard to partner with traditional financial institutions due to the regulated environment, so they must spread the risk by implementing their technology in other institutions that use their technology, which still allows them to grow.

Article Link : http://www.forbes.com/sites/chrismyers/2017/02/10/3-steps-fintech-companies-need-to-take-in-order-to-survive/2/#38b0c2d37d87

Blockchain technology and its possible applications

Blockchain technology consists of a network of computers to maintain a collective book keeping via the internet. The advantage of this is this is neither closed nor in control of any single party. It’s public and available in one digital ledger which is fully distributed across the network. Each node in a network owns a full copy of ledger.In blockchain, all transactions are logged including information of time, date, participants and amount of every single transaction. Based on mathematical principles the transactions are verified by bitcoin miners. These are also devised in a way that they agree on the current state of the ledger if anyone tried to tamper with the transaction there will be no consensus and hence will refuse to incorporate the transaction. of open forms a core of Bitcoin. This is how blockchain and bitcoin functions.

Bitcoin is one of the possible technologies for blockchain instead of bitcoin it can be an identity like a digital signature to verify the documents example companies: Onename. The basic unit might also be stocks, bonds, land titles, and frequent flyer miles. ex: NASDAQ, Chain, Openchain .

References:

https://www.quora.com/What-are-non-Bitcoin-applications-of-blockchain-technology

Move Over Cloud Computing, Welcome Microservices!

According to Steve Singh, CEO of Concur Technologies, despite cloud computing’s widespread utility and strength in current technologies, we should expect “microservices” as the next big thing. Concur was recently acquired by SAP, a multinational company that produces enterprise software to manage business operations and customer relations. SAP has an extensive list of cloud computing services, so it’s interesting that Singh believes that cloud computing will soon fall second to microservices. Microservices are apps developed in small, separate pieces rather than as one complete program. Singh gave an example of how microservices could benefit users: “When…your producer, sent me an email saying, ‘hey would you like to come on the show’…I said, ‘I’ll be there Thursday.’…it automatically decided that I should book travel for Steve out to New York…I don’t go into Concur. I just go about my normal daily routine and the [apps] start to take actions for me all seamlessly.”

I think that microservices could be helpful in automating processes in our daily lives. However, where does the human preference come in? What if someone joked to a friend through email about traveling, and the service began booking a flight out of state? How does the system know what is legitimate and what isn’t?

Source: http://www.geekwire.com/2017/sap-president-steve-singh-says-cloud-computing-yesterdays-news-microservices-future/

Wells Fargo Adding to Mobile Secuirty Measures

This article talks about the company Xero that is creating security measures for third party apps that use Wells Fargo financial data. For example, the personal finance application Mint requires users to enter their username and password for each account they want to keep track of. Banks in the past such as Chase and Charles Schwab have seen this as a significant security threat even cutting off access to account information via applications like Mint. These banks, including Wells Fargo, are already faced with the security issues of a digital financial future, but companies like Xero are making third party data access more secure. Xero’s solution is to reroute customers to a Wells Fargo controlled logon where they would be able to select the specific account information they want the third party app to have access to. Although this is a viable solution, I question if such a decision will weaken the mobile platform of Wells Fargo as users may be even more inclined to use Mint over the Wells Fargo app. Despite this, I think that Xero’s solution is step in the right direction to enhance financial security for mobile users.
http://www.bizjournals.com.libproxy.scu.edu/sanfrancisco/blog/2016/06/wells-fargo-mint-quicken-wfc-intu.html

SAP adds new enterprise information management

SAP adds new functions and features on enterprise information management(EIM) to help users to better manage and control data assets. The new EIM updates the following features:

  1. SAP Data Services: It extends the support and connectivity to integrate and load large data and different data types, it can transfer from Google BigQuery to data processing tools such as Hadoop, SAP HANA Vora, SAP IQ, SAP HANA or other cloud based tools. It also connects to Amazon Redshift and optimize data extraction from HIVE table.
  2. SAP  Information Steward: An enhanced metadata management capability provide data stewards and it is ealier to search metadata and discovery meaningful data.
  3. SAP Data Quality Management microservices: It also provide data cleaning serives and data validation and enrichment for address and geocodes

Reference: http://www.cio.com/article/3163464/it-strategy/sap-adds-new-enterprise-information-management.html

Visa’s Blockchain Bet Opens Up to Developers

The article is about Chain, a blockchain company that partners with banks and financial firms to integrate blockchain technology into financial services. In 2016, Chain released a version of its software on open source for all developers to access. Chain hopes that giving people access to its software will allow faster innovation of financial uses for blockchain.

On the one hand, this is a good move because it brings Chain back to the roots of blockchain’s origin. BitCoin started as an open source project that found great success. Opening up software allows for more collaboration and progress. On the other hand, not everyone understands the needs of the financial services industry. If Chain wants to use blockchain for banks and financial firms, it needs to be designed with that in mind. Random developers will bring new tweaks to the software, but not all of these changes will be useful for Chain’s goals. Time will tell if Chain gains enough innovation from realesing the software for it to be worthwhile.

 

 

 

http://fortune.com/2016/10/24/visas-blockchain-chain-open-source/

3 Reasons Why Fintech is Failing

According to the article, many fintech companies are have missed their targets set after elongated fundraising cycles, mounting losses and dropping stock prices. The first reason the article states fintech firms are failing is largely due to the fundamentally strategic contradiction between technology and finance. Fintech firms are pressured by investors to return investments quickly, however the finance sector is slow growing in nature. The second reason is that market realities encourage short-term thinking. Companies abandon long-term investment in innovation for quick growth using traditional sales techniques. Lastly, incumbents in the market are powerful and resistant to change. Financing and banking services are highly regulated and conservative, and do not see fintech companies as a current threat.

Although I agree that fintech firms still have a long way to go before replacing banking and financial services, if they ever do, I still believe they have succeeded in disrupting the market. While they may not replace traditional firms, they have pressured finance and banking companies to be more innovative and offer services incorporating technology to stay competitive. I believe in the future, the blend between finance and technology will be inseparable, so traditional firms will need to adopt and adapt to stay on top.

Source: 3 Reasons Why Fintech is Failing

Fraud Analytics in the Banking Sector

Frauds alone in the banking sector cause losses in billions every year. In the United States alone, this number has hit $12billion in losses with a staggering 15% increase from the year 2015. These numbers are pretty huge and pose the single biggest challenge to banks and their customers world wide. Apart from the risk of losing customers, direct financial impact for banks is turning out to be a significant factor. Listed below are a few business drivers that help detect and prevent fraud in retail banking:

  1. Risk of losing customers: Fraud generally erodes the trust customers place on their banking partners leading to higher churn rate making customer acquisition difficult. 
  2. Financial losses: Banks are generally charged with penalties in case a fraud occurs, not only are they liable for the transaction costs, merchant chargebacks but also have to pay regulatory charges.

Fraud Analytics: Fraud analytics combines technology analysis and techniques along with human interaction to help detect potential fraudulent transactions in a business process, either before the transactions are completed or after they occur. The process of fraud analytics involves gathering and storing relevant data and mining it for patterns, discrepancies, and anomalies. The image below displays the range of fraud analytics deployed by banks to help detect fraud.

Screen Shot 2017-02-08 at 6.03.20 PM

Benefits of Fraud Analytics in Banking:

  1. Analytics helps improve the ability of existing fraud experts to focus specifically on real threats by expanding the range of transactions that need to be monitored and reducing the number of fraud alerts. Fraud Analytics is done by pulling out data across various business processes onto a central system, helping create a enterprise wide view that makes it easier to trace back the origin of fraud
  2. Advanced analytics helps in recognizing patterns of fraudulent transactions, and play a key role in predicting the possibility of the next fraud that might occur with an intention to recommend preventive measures.

In conclusion, as transactions become virtual and their volumes grow rapidly, there is no stopping fraud. Rapidly growing technology is an enemy and opens up several avenues for fraudsters. Banks need to adopt emerging best practices to successfully operationalize fraud analytics. Designing self-learning algorithms that learn from the positive identifications they make and continuously updating and refining the models can help banks be one step ahead of fraudsters.

Reference:http://www.genpact.com/docs/resource-/fraud-analytics-in-retail-banking—detect–deter–and-prevent