Banking

More than half of U.S. businesses say they discuss fraud management often, making fraud detection in banking top-of-mind. Banking fraud prevention can seem daunting, but with the proper tools, banks, credit unions, fintechs, and other financial institutions can frustrate and root out fraudsters while maintaining a positive experience for good customers. What is banking fraud? Banking fraud is a type of financial crime that uses illegal means to obtain money, assets, or other property owned or held by a bank, other financial institution, or customers of the bank. This type of fraud can be difficult to detect when misclassified as credit risk or written off as a loss rather than investigated and prevented in the future. Fraud that impacts financial institutions consists of small-scale one-off events or larger efforts perpetrated by fraud rings. Not long ago, many of the techniques utilized by fraudsters required in-person or phone-based activities. Now, many of these activities are online, making it easier for fraudsters to disguise their intent and perpetrate multiple attacks at once or in sequence. Banking fraud can include: Identity theft: When a bad actor steals a consumer’s personal information and uses it to take money, open credit accounts, make purchases, and more. Check fraud: This type of fraud occurs when a fraudster writes a bad check, forges information, or steals and alters someone else’s check. Credit card fraud: A form of identity theft where a bad actor makes purchases or gets a cash advance in the name of an unsuspecting consumer. The fraudster may takeover an existing account by gaining access to account numbers online, steal a physical card, or open a new account in someone else’s name.  Phishing: These malicious efforts allow scammers to steal personal and account information through use of email, or in the case of smishing, through text messages. The fraudster often sends a link to the consumer that looks legitimate but is designed to steal login information, personally identifiable information, and more. Direct deposit account fraud: Also known as DDA fraud, criminals monetize stolen information to open new accounts and divert funds from payroll, assistance programs, and more. Unfortunately, this type of fraud doesn’t just lead to lost funds – it also exposes consumer data, impacts banks’ reputations, and has larger implications for the financial system. Today, top concerns for banks include generative AI (GenAI) fraud, peer-to-peer (P2P) payment scams, identity theft and transaction fraud. Without the proper detection and prevention techniques, it’s difficult for banks to keep fraudsters perpetrating these schemes out. What is banking fraud prevention? Detecting and preventing banking fraud consists of a set of techniques and tasks that help protect customers, assets and systems from those with malicious intent. Risk management solutions for banks identify fraudulent access attempts, suspicious transfer requests, signs of false identities, and more. The financial industry is constantly evolving, and so are fraudsters. As a result, it’s important for organizations to stay ahead of the curve by investing in new fraud prevention technologies. Depending on the size and sophistication of your institution, the tools and techniques that comprise your banking fraud prevention solutions may look different. However, every strategy should include multiple layers of friction designed to trip up fraudsters enough to abandon their efforts, and include flags for suspicious activity and other indicators that a user or transaction requires further scrutiny.   Some of the emerging trends in banking fraud prevention include: Use of artificial intelligence (AI) and machine learning (ML). While these technologies aren’t new, they are finding footing across industries as they can be used to identify patterns consistent with fraudulent activity – some of which are difficult or time-consuming to detect with traditional methods. Behavioral analytics and biometrics. By noting standard customer behaviors — e.g., which devices they use and when — and how they use those devices — looking for markers of human behavior vs. bot or fraud ring activity — organizations can flag riskier users for additional authentication and verification. Leveraging additional data sources. By looking beyond standard credit reports when opening credit accounts, organizations can better detect signs of identity theft, synthetic identities, and even potential first-party fraud.     With real-time fraud detection tools in place, financial institutions can more easily identify good consumers and allow them to complete their requests while applying the right amount and type of friction to detect and prevent fraud.   How to prevent and detect banking fraud In order to be successful in the fight against fraud and keep yourself and your customers safe, financial institutions of all sizes and types must: Balance risk mitigation with the customer experience Ensure seamless interactions across platforms for known consumers who present little to no risk Leverage proper identity resolution and verification tools Recognize good consumers and apply the proper fraud mitigation techniques to riskier scenarios With Experian’s interconnected approach to fraud detection in banking, incorporating data, analytics, fraud risk scores, device intelligence, and more, you can track and assess various activities and determine where additional authentication, friction, or human intervention is required. Learn more

Customer acquisition in banking: Discover expert strategies, innovative solutions, and insights to grow and retain clients.

By leveraging an array of tools and technologies, businesses can tailor their fraud prevention strategies to suit the specific needs of their customers.

For banks, remaining competitive doesn’t just involve enhancing their processes — it requires investing in the future of their business: Gen Z.

Many financial institutions have made inclusion a strategic priority to expand their reach and help more U.S. consumers access affordable financial services. To drive deeper understanding, Experian commissioned Forrester to do new research to identify key focal points for firms and how they are moving the needle. The study found that more than two-thirds of institutions had a strategy created and implemented while one-quarter reported they are already up and running with their inclusion plans.1 Tapping into the underserved The research examines the importance of engaging new audiences such as those that are new to credit, lower-income, thin file, unbanked and underbanked as well as small businesses. To tap into these areas, the study outlines the need to develop new products and services, adopt willingness to change policies and processes, and use more data to drive better decisions and reach.2 Expanded data for improved risk decisioning The research underlines the use of alternative data and emerging technologies to expand reach to new audiences and assist many who have been underserved. In fact, sixty-two percent of financial institutions surveyed reported they currently use or are planning to use expanded data to improve risk profiling and credit decisions, with focus on: Banking data Cash flow data Employment verification data Asset, investments, and wealth management data Alternative financial services data Telcom and utility data3 Join us to learn more at our free webinar “Reaching New Heights Together with Financial Inclusion” where detailed research and related tools will be shared featuring Forrester’s principal analyst on Tuesday, May 24 from 10 – 11 a.m. PT. Register here for more information. Find more financial inclusion resources at www.experian.com/inclusionforward. Register for webinar Visit us 1 Based on Forrester research 2 Ibid. 3 Ibid.

Retail banking leaders want to incorporate more data into their business strategies.However, many companies don’t know how or where to start.

Below are some key strategies that will help financial institutions build and continue banking to millennials.

What will 2016 hold for our market and the economy in terms of demand deposit accounts

By: Kyle Enger, Executive Vice President of Finagraph Small business remains one of the largest and most profitable client segments for banks. They provide low cost deposits, high-quality loans and offer numerous cross-selling opportunities. However, recent reports indicate that a majority of business owners are dissatisfied with their banking relationship. In fact, more than 33 percent are actively shopping for a new relationship. With limited access to credit after the worst of the financial crisis, plus a lack of service and attention, many business owners have lost confidence in banks and their bankers. Before the financial crisis, business owners ranked their banker number three on the list of top trusted advisors. Today bankers have fallen to number seven – below the medical system, the president and religious organizations, as reported in a recent Gallup poll, “Confidence in Institutions.” In order to gain a foothold with existing clients and prospects, here is a roadmap banks can use to build trust and effectively meet the needs to today’s small business client. Put feet on the street. To rebuild trust, banks need to get in front of their clients face to face and begin engaging with them on a deeper level. Even in the digital age, business customers still want to have face-to-face contact with their bank. The only way to effectively do that is to put feet on the street and begin having conversations with clients. Whether it be via Skype, phone calls, text, e-mail or Twitter – having knowledgeable bankers accessible is the first step in creating a trusting relationship. Develop business acumen. Business owners need someone who is aware of their pain points, can offer the correct products according to their financial need, and can provide a long-term plan for growth. In order to do so, banks need to invest in developing the business and relationship acumen of their sales forces to empower them to be trusted advisors. One of the best ways to launch a new class of relationship bankers is to start investing in educational events for both the bankers and the borrowers. This creates an environment of learning, transparency and growth. Leverage technology to enhance client relationships. Commercial and industrial lending is an expensive delivery strategy because it means bankers are constantly working with business owners on a regular basis. This approach can be time-consuming and costly as bankers must monitor inventory, understand financials, and make recommendations to improve the financial health of a business. However, if banks leverage technology to provide bankers with the tools needed to be more effective in their interactions with clients, they can create a winning combination. Some examples of this include providing online chat, an educational forum, and a financial intelligence tool to quickly review financials, provide recommendations and make loan decisions. Authenticate your value proposition.  Business owners have choices when it comes to selecting a financial service provider, which is why it is important that every banker has a clearly defined value proposition. A value proposition is more than a generic list of attributes developed from a routine sales training program. It is a way of interacting, responding and collaborating that validates those words and makes a value proposition come to life. Simply claiming to provide the best service means nothing if it takes 48 hours to return phone calls. Words are meaningless without action, and business owners are particularly jaded when it comes to false elevator speeches delivered by bankers. Never stop reaching out. Throughout the lifecycle of a business, its owner uses between 12 and 15 bank products and services, yet the national product per customer ratio averages around 2.5. Simply put, companies are spreading their banking needs across multiple organizations. The primary cause? The banker likely never asked them if they had any additional businesses or needs. As a relationship banker to small businesses, it is your duty to bring the power of the bank to the individual client. By focusing on adding value through superior customer experience and technology, financial institutions will be better positioned to attract new small business banking clients and expand wallet share with existing clients. By implementing these five strategies, you will create closer relationships, stronger loan portfolios and a new generation of relationship bankers. To view the original blog posting, click here. To read more about the collaboration between Experian and Finagraph, click here.  

By: Mike Horrocks I was raised in an underbanked home! I have known this for a long time, but it feels great to say it and be proud of it.  I was raised in Neola, Utah, a small cattle ranching community of at the time 500 or so people.  I don’t recall as a kid ever feeling poor or on the edge financially, in fact it was quite the opposite.  When I was a freshman in college I got my own banking accounts and my first major credit card that gave cash back, it all just seemed normal. I recall showing my dad my new found financial life.  The concept of getting cash back for purchases was something he wanted in on.  He made the call to get his own card and within minutes the representative on the other end of the call asked if I was willing to co-sign for my dad because he did not have a thick enough credit file.   At this point of my dad’s life, he had developed and sold a couple of businesses, bought and managed a successful angus cattle ranch - but he had done most of it in cash and so he was “off the grid”.   When I co – signed for my dad, it hit me, in terms of the banking system that I was studying at the university, we were an underbanked family! So what are the lessons learned here for a banker today: Underbanked does not equal poor.  I never felt poor, the family business was going great, and my dad was always able to meet any obligation or need for the ranch and us kids. Bankers need to know their customers.   When my dad did need access to more capital, there was a great banker at Zions Bank that knew my dad and stood by him even though the traditional file was thin.  So know your customers by all means (traditional credit, alternative data, etc.) Don’t forget the family.  By this I mean the associated products and what they can mean to the overall customer picture and relationship. Know what risks and opportunities are there as you try to optimize the relationship. If you want to read some more, American Banker just published a great set of articles on including consumers and how to retain them - it is worth a quick review. Don’t let great customers like my dad go through your business development net.  Attract them, nurture them and build great relationships with them.

There are two sides to every coin and in banking the question is often to you want to chase the depositor of that coin, or lend it out? Well the Federal Reserve’s decision to hold interest rates at record lows since the economic downturn gave the banks’ in the United States loan portfolios a nice boost from 2010-2011, but the subsequent actions and banking environment resulted in deposit growth outpacing loans – leading to a marked reduction in loan-to-deposit ratios across banks since 2011. In fact currently there is almost $1.30 in deposits for every loan out there today.  This, in turn, has manifested itself as a reduction in net interest margins for all U.S. banks over the last three years – a situation unlikely to improve until the Fed hikes interest rates. Additionally, the banks’ have found that while they are now holding on to more of these deposits that additional regulations in the form of the CFPB looking to evaluate account origination processes,  Basel III Liquidity concerns, CCAR and CIP & KYP have all made the burden of holding these deposits more costly.   In fact the CFPB suggests four items they believe will improve financial institution’s checking account screening policies and practices: Increase the accuracy of data used from CRA’s Identify how institutions can incorporate risk screening tools while not excluding   potential accountholders unnecessarily Ensure consumers are aware and notified of information used to decision the account opening process Ensure consumers are informed of what account options exist and how they access products that align with their individual needs Lastly, to add to this already challenging environment, technology has switched the channel of choice to your smartphone and has introduced a barrage of risks associated with identity authentication – as well as operational opportunities. As leaders in retail banking and in addressing the needs of your customers, I would like to extend an invitation on behalf of Experian for you to participate in our latest survey on the changing landscape of DDA opportunities.  How are regulations changing your product set, what role does mobile play now and in the future, and what are your top priorities for 2015 and beyond?  These are just a few of the insights we would like to gain from experts such as you. To access our survey, please click here.  Our brief survey should take no more than seven minutes to complete and your insights will be highly valued as we look to better support you and your organization’s demand product needs.  Our survey period will close in three weeks, so please respond now. As a sign of our appreciation for your insights, we will send all participants an anonymous aggregation of the responses so that you can see how others view the retail banking marketplace. So take advantage of this chance to learn from your peers and participate in this industry study and don’t leave your strategy to a flip of a coin.

Cherian Abraham, our mobile commerce and payments consultant, recently wrote about the future of mobile banking in regards to the Apple Pay news out this week. The below article originally appeared in American Banker and is an edited version of his blog post. Editor's note: A version of this post originally appeared on Drop Labs. Depending on who you ask, the launch of Apple Pay was either exciting or uninspiring. The truth is far more complicated — particularly in terms of how it will impact the dynamics of Apple's relationship with banks. I would venture that most of the financial institutions on stage at the launch of Apple Pay earlier this week have mixed feelings about their partnership. They have had to sacrifice a lot of the room for negotiation that banks have retained with other wallet players such as Google Wallet and Softcard (the company formerly known as Isis). If you are an Apple Pay launch partner, having your credential or token on Apple Pay does not mean that you get to extend that credential into your own mobile banking app or wallet. For example, Bank A, with its credentials stored on Apple Pay, cannot leverage those credentials so that its own mobile banking app can use them to enable direct payments. Banks will have to accept that their credentials will be indefinitely locked to Apple Pay till deletion.  No bank wants its brand to be overshadowed by Apple, nor do banks want smartphone users to close their app and open up a different wallet to make a payment. But this was not up for debate with Apple, which wants to tightly control the payment experience. This should be a cause of concern for Apple Pay partner banks, for whom enabling payments outside of Apple Pay in iOS is now off the table. Banks' only hope of having an integrated payment experience is to focus on Android, which supports host card emulation technology. HCE uses software to emulate a contactless smart card and communicate with near-field communication readers. I would expect a lot of banks to revisit Android and HCE in upcoming months. That goes double for the institutions that were not chosen to partner with Apple, along with retailers who have not rejected contactless payments as a modality in stores. Given that Apple will reportedly collect fees from its partner banks when customers execute transactions on the mobile wallet, all banks should be thinking about ways that they can make their presence on other Apple offerings more lucrative. If I were them, I would begin segmenting customers who hold one of iTunes' 500 million active accounts to see which ones are affluent spenders and which cards have higher interest rates, then implement targeted customer incentive strategies to move Apple users to higher-rate cards. I would use the same tactic to convince customers to replace debit cards on file with iTunes with credit cards. But the big takeaway is that from here on out, banks can only gain incremental value from iOS. If they want to create a unified payment system that customers can use as part of their existing banking relationships, they'll have to focus on Android. Should that happen, I doubt that Apple could prevent such moves from diluting its merchant value proposition. But such moves on the part of issuers are hardly long-term strategies to incentivize frequent usage, merchant participation and overall customer value. Learn more about how Experian can help you with your mobile banking needs please visit: http://ex.pn/1t3zCSJ?INTCMP=DA_Blog_Post091214

by John P. Robertson, Senior Business Process Specialist As a Senior Business Process Specialist for the Experian Decision Analytics, John provides guidance to clients in the areas of profitability strategies for risk based pricing and relationship profitability. He assists banks in developing and implementing successful transitions for commercial lending that improve both the financial efficiency of the lending process and the productivity of the lending officers. John has 26 years of experience in the banking industry, with prior background in cash, treasury, and asset /liability management. For quite some time now, the banking industry has experienced a flat funding curve. Very small spreads have existed between the short and long term rates. Slowly, we have begun to see the onset of a normalized curve. At this writing, the five year FHLB Advance rate is about 2.00%. A simplistic view of loan pricing looks something like this: + Interest Income + Non-Interest Income - Cost of Funds - Non-Interest Expense - Risk Expense = Income before Tax The example is pretty simple and straight forward, “back of the napkin” kind of stuff. We back into a spread needed to reach breakeven on a five year fixed rate loan by using the UBPR (Uniform Bank Performance Report) national peer average for Non-Interest Expense of approximately 3.00%. You would need a pre-tax rate requirement of 5.00% before you consider the risk and before you make any money. If you tack on 1.00% for risk and some kind of return expectation, the rate requirement would put you around a 6.00% offering level. From a lender’s perspective, a 6.00% rate on a minimal risk five year fixed rate loan doesn’t exist. They might as well go home. CFO’s have been asking themselves, “What do we do with this excess cash? We get such a paltry spread. How can we put higher yielding loans on our books at today’s competitive rates? We’ve got plenty of capital even with the new regulation requirements so can we repo the securities and use the net spread for our cost of funds?” Leveraging the excess cash and securities in order to meet the pressing rate demands may be a way banks have been funding selective loans at such low rates on highly competitive, quality loan originations of size. But you have to wonder, what about that old adage, “You don’t short fund long term loans.” Won’t you eventually have to deal with compression and “margin squeeze”? Oh and by the way, aren’t you creating a mismatch in the balance sheet which requires explanation. Are they buying a swap to extend the maturity? If so, are they really making their targeted return? If this is what they are doing, why not just accept a lower return but one that is better than the securities? Share your thoughts with me.  

By: Teri Tassara “Do more with less” is a pervasive and familiar mantra nowadays as lenders seek to make smarter and more precise lending decisions while expertly balancing growth objectives and tightened budgets.  And lest we forget, banks must also consider the latest regulations and increased regulatory scrutiny from the industry’s governing bodies - such as OCC and CFPB. Nowadays, with the extensive application of predictive analytics in everyday lending practices, it makes sense to look to analytics to fine tune decision-making and achieve a greater return on investment in three common growth objectives for bankcard acquisitions: Profitable growth - How do I find the most profitable acquisition targets?  How do I know the borrowing characteristic of each consumer?  Are they high spend or high income?  Do they carry a balance but always make timely payments? Universe expansion - How many more consumers are there that meet my lending criteria? How can I effectively reach them? Customer experience - How do I offer the right product to the right customer? How do I communicate to my customers that I understand their lending needs? To that end, growth objectives vary by lender; as such, so should their bankcard acquisitions analytical toolkit. The analytical toolkit arsenal should enable lenders to develop refined bankcard campaign strategies based on their specific objectives. Look for upcoming posts on the essential components of the bankcard acquisitions analytical toolkit.  

By: Joel Pruis Times are definitely different in the banking world today.  Regulations, competition from other areas, specialized lenders, different lending methods resulting in the competitive landscape we have today.  One area that is significantly different today, and for the better, is the availability of data.  Data from our core accounting systems, data from our loan origination systems, data from the credit bureaus for consumer and for business.  You name it, there is likely a data source that at least touches on the area if not provides full coverage. But what are we doing with all this data?  How are we using it to improve our business model in the banking environment?  Does it even factor into the equation when we are making tactical or strategic decisions affecting our business? Unfortunately, I see too often where business decisions are being made based upon anecdotal evidence and not considering the actual data.  Let’s take, for example, Major League Baseball.   How much statistics have been gathered on baseball?  I remember as a boy keeping the stats while attending a Detroit Tigers game, writing down the line up, what happened when each player was up to bat, strikes, balls, hits, outs, etc.  A lot of stats but were they the right stats?  How did these stats correlate to whether the team won or lost, does the performance in one game translate into predictable performance of an entire season for a player or a team?  Obviously one game does not determine an entire season but how often do we reference a single event as the basis for a strategic decision?  How often do we make decisions based upon traditional methods without questioning why?  Do we even reference traditional stats when making strategic decisions?  Or do we make decisions based upon other factors as the scouts of the Oakland A’s were doing in the movie Moneyball? In one scene of the Movie, Billy Beane, general manager of the A’s, is asking his team of scouts to define the problem they are trying to solve.  The responses are all very subjective in nature and only correlate to how to replace “talented” players that were lost due to contract negotiations, etc.  Nowhere in this scene do any of the scouts provide any true stats for who they want to pursue to replace the players they just lost.  Everything that the scouts are talking about relates to singular assessments of traits that have not been demonstrated to correlate to a team making the playoffs let alone win a single game.  The scouts with all of their experience focus on the player’s swing, ability to throw, running speed, etc.  At one point the scouts even talk about the appearance of the player’s girlfriends! But what if we changed how we looked at the sport of baseball?  What if we modified the stats used to compile a team; determine how much to pay for an individual player? The movie Moneyball highlights this assessment of the conventional stats and their impact or correlation to a team actually winning games and more importantly the overall regular season.  Bill James is given the credit in the movie for developing the methodology ultimately used by the Oakland A’s in the movie.  This methodology is also referred to as Sabermetrics. In another scene, Peter Brand, explains how baseball is stuck in the old style of thinking.  The traditional perspective is to buy ‘players’.  In viewing baseball as buying players, the traditional baseball industry has created a model/profile of what is a successful or valuable player.  Buy the right talent and then hopefully the team will win.  Instead, Brand changes the buy from players to buying wins.  Buying wins which require buying runs, in other words, buy enough average runs per game and you should outscore your opponent and win enough games to win your conference.  But why does that mean we would have to change the way that we look at the individual players?  Doesn’t a high batting average have some correlation to the number of runs scored?  Don’t RBI’s (runs batted in) have some level of correlation to runs?  I’m sure there is some correlation but as you start to look at the entire team or development of the line up for any give game, do these stats/metrics have the best correlation to lead to greater predictability of a win or more specifically the predictability of a winning season? Similarly, regardless of how we as bankers have made strategic decisions in the past, it is clear that we have to first figure out what it is exactly we are trying to solve, what we are trying to accomplish.  We have the buzz words, the traditional responses, the non-specific high level descriptions that ultimately leave us with no specific direction.  Ultimately it allows us to just continue the business as usual approach and hope for the best. In the next few upcoming blogs, we will continue to use the movie Moneyball as the back drop for how we need to stir things up, identify exactly what it is we are trying to solve and figure out how to best approach the solution.