The Future of Banking - From FinTech to TechFin





In our data-driven world, the commodization of technology is a driving force behind the financial technology (‘FinTech’) space. Yet, for over 40 years, the mantra “follow the money” has been the traditional brick-and-mortar upon which financial firms stand. With the likes of Uber, Amazon, Samsung, and Ant Financial disrupting the financial services market, it’s time for banks to be ‘data-driven’ or risk falling by the wayside.

While the speed at which Big Data, analytics, machine learning, and artificial intelligence are making waves is impressive. It is the increasing number and variety of new entrants into the financial sector making the current period of FinTech stand out. It’s these new entrants, typically non-financial service organizations with customer bases on financial law and regulation, which have set the bar for data-driven businesses in the financial sector.

Loosely known as TechFins, established tech firms entering the world of finance can often be characterized by their ability to leverage data. They’re bridging the gap between immense amounts of data once gathered simply for marketing purposes toward a more customer-centric experience within the frameworks of their primary business and into financial services.

What TechFins Are and Are Not


It may seem logical to assume TechFins are simply an enhancement of FinTechs, but they’re progression is more complex. Rather, it is an entirely new type of market altogether. Originating in the tech space with a focus in e-commerce environments, these organizations are connected to a number of clients both consumers and business. Very often they have blended the roles of marketing and finance within the well of data available to them to enhance their customer experience offerings.

As TechFins grow, their established international networks and the data they already provide to financial services firms may showcase opportunities to offer services directly to their customers. Their ability to reduce transaction costs, provide a more comprehensive dataset, and thereby improve decision making results in increased inclusion for those previously outside the scope of larger institutions. This change in the financial services environment puts SMEs, consumers, and those in the developing and developed world who are struggling on a more even playing field.

In cautionary measures, TechFins may unwittingly put established regulations at risk. For example, discretion over client assets, taking deposits, pooling assets, or simply the solicitation of clients may fall out of the scope of financial service regulations within the TechFin sector creating confusion as to whom the rules apply.

Leveraging Data in the Financial Services Sector


While customers may balk at giving away information in some sectors, they give it freely in the world of TechFin. The value of traditional production is exceeded by the value of data in which data is the new currency. This new valuation creates a pressing need to adequately regulate ‘data intermediaries’ both in the TechFin and the FinTech space to protect current and future customers.

It is a balancing act, according to one thought leader in the digital space, who posits the digital world has the right infrastructure to manage data. But, financial institutions need to reinvent themselves by letting go of distribution through paper channels and moving to distribution of data.

Risk and Reward


Risk analysis from regulatory inquiry reveals systemic risk because TechFin data is essential for a financial institution or if it provides data for several institutions. To guard against leaks, hacks, and other reckless or criminal misuse of data, systemic risk prevention measures must be considered and applied.

For many banking institutions, a data-driven strategy may fall outside their comfort zone. However, many banking leaders understand what’s happening and what needs to happen to lead their institutions in the TechFin space. This includes recommending banks have a strong data management program behind the scenes.

Other thought leaders in the financial services industry know data and analytics insights are the defining piece of the space. They understand the need to map and capture customer’s intended and actual behavior across products and channels to improve the customer experience and design what it is the customer wants.

The sentiment of the changing face of the financial services and tech within the space, may best be defined by Anthony Thompson of Atom Bank who said, “Everything we do will be driven by data. Using data analytics and predictive technologies, we will help customers know what they want before they even think about. We are in the data business as much as we are in the banking business.”

While many thought leaders in the banking and financial industry, understand and are driving the conversation, it’s interesting so many institutions have not found consistent ways to create a data-driven culture. Do you want to help change that?

Take a look at our latest Credit Risk jobs here.

For the East Coast and Mid-West teams please call 212-796-6070, or email newyorkinfo@harnham.com.

For the West Coast team call 415-614-4999 or email sanfraninfo@harnham.com.

SHARE THIS PAGE

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our News & Blogs portal or check out our recent posts below.

Big Data and Analytics Insight into Employee Potential

In less than ten days, Silicon Valley’s Santa Clara Convention Center will be filled with speakers, panelists, and thought leaders from around the globe at the AI & Big Data Expo North America. Topics from the future of enterprise to spotting potential top talent, and everything in between will be covered.    But how important is it for the future of enterprise to be driven by not only digital transformation leaders, but also a solid data team?   Today’s data team must be a mix of the highly technically skilled and the soft-skill savvy, crossing what were once siloed departments across an organization. How do you spot top talent potential in your in-house team? What about those who perform better in person than on paper? What if you could see at a glance the possibilities of an employee’s performance?   Big Data Offers Instant Insight on How to Spot Top Talent   Digital transformation leaders and business executives have more detailed employee information at their fingertips than ever before. By combining people data with accurate algorithms using human capital management tools, organizations are armed with a robust picture of top talent. This offers instant insight into an employee’s potential. Estimation and guess work are a thing of the past, and armed with this type of information, organizations can put into motion succession plans, decide professional development opportunities, and future compensation as well as invest in their top talent for maximum potential.   But, before you can develop high-potential employees, you need to find them. This can be one of the most difficult challenges. Then, once you find and prime your potential leaders, how do you retain them? Having a strategic, proactive approach is an excellent first step towards a successful strategy, and may include some or all of the following:   Creating continuous learning opportunities.   Conducting a pulse check. How are they feeling about the company? Their role? Responsibilities? Like the nuanced role which combines savvy soft skills with highly advanced technical skills, cognitive assessments using NLP can offer instant insights. But, it’s important to conduct in-person pulse check interviews as well, if possible.  Offering mentoring or coaching opportunities.  It’s also important to note, a diverse data team with a variety of backgrounds, can add more perspectives for more innovative solutions in business.   The Competitive Advantage of Effective Data Analytics   Data surrounds us, and in our data-driven world, it’s important for business leaders to understand the impact of Big Data and Analytics when it comes to finding, developing, and planning for top talent. As much as we need to know where and how to find top performers, we need to identify our current potential talent, to support their growth, or risk losing them.   Current performance is only one way to gauge talent and isn’t always a good indicator of future potential. In fact, not having all the facts and relying on instinct could prove to be a liability. In other words, high-performing employees may not have high potential, but high potential candidates may stand out in different ways. Knowing the difference can save time, money, and resource. Losing a high-potential employee can cost over three times their salary, as well as their deep institutional knowledge. Like customer behavior insights gleaned from data, effective Data Analytics can give companies a big advantage over their competitors.    If you’re interested in Big Data and Analytics, we may have a role for you. We specialize in junior and senior roles.    If you’re attending the Big Data and AI Expo in Silicon Valley, November 28 and 29, stop by our booth and say “Hi”. We look forward to meeting you and can discuss opportunities on the spot. If you can’t make it, you can check out our current vacancies or contact one of our recruitment consultants to learn more.   For our West Coast Team, call (415) 614 4999 or send an email to sanfraninfo@harnham.com.    For our Mid-West and East Coast Teams, call (212) 796 6070 or send an email to newyorkinfo@harnham.com.

What Does the Future Hold for AI and Big Data in Enterprise?

Smart phone. Smart home. Business Intelligence. Artificial Intelligence. Each designed to improve our live. These smart devices know our favorite music, our favorite movies, the just right temperature for the house, and when we’re away, we can watch it all from our mobile phone. Elements of the four work together for convenience and peace of mind.  But, what about your business? What does the future hold for AI and Big Data when it comes to enterprise? As we round out 2018, and look to the new year, the Santa Clara Convention Center, Silicon Valley will be abuzz for two-days at the end of this month with its AI & Big Data Expo North America. Industry leaders will come together to deliver AI and Big Data for a smarter future.  A More Centralized Systems Focus We know Business Intelligence (BI), Customer Intelligence (CI), Artificial Intelligence (AI), and more. But, what about a more overarching turn of phrase for enterprise as a whole? The intelligent enterprise.  Imagine advanced analytics, intelligence applications, and machine learning seamlessly connected via the cloud for more flexible decision making based on data flow into business systems.  To do this, your business needs a strong data foundation and centralized team from all departments for an at-a-glance dashboard view of your business and its needs. Having the right data coupled with the right computing capabilities offers single view information at each customer touchpoint. Once siloed positions now molded into one unit with the right information can help you make better decisions, faster. AI Application Expectations for 2019 We’ve come a long way from the days of the Jetsons, in which AI is simply a robot programmed to do mundane tasks. Today, and looking toward the future, we’re in a real-time world closer to that of Bicentennial Man. In fact, much like our personal devices are extensions of ourselves, businesses are beginning to see AI as extensions of their business, contributing to their success.  AI is continuously evolving, and 2019 will be no different. As companies embrace and work to enhance machine and human relationships, we’ll begin to see and understand AI’s limitations, and when and how human interaction may be needed. Though evolution of AI is expected to triple in the new year, many businesses currently using its applications for mission-critical processes will grow more confidence in new technologies.  Businesses once on the sidelines will grow into their roles as digital leaders, advancing their industry, and while 16 percent of a recent survey said they are currently applying automation and AI to one or more mission-critical business processes, more than three times the amount are expect to do so by 2019.   We’ve barely scratched the surface with what we know will be a jam-packed agenda November 28 and 29 in Silicon Valley. We’ll be at the Expo and hope to see you there. Stop by, say hello, and if you’re interested in Big Data, analytics, and the future of business, we may have a role for you. If you’re a business seeking to grow your Data team, we’re available to guide you to hire and retain top talent. We specialize in junior and senior roles.  Check out our current vacancies or contact one of our recruitment consultants to learn more.   For our West Coast Team, call (415) 614 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 6070 or send an email to newyorkinfo@harnham.com.

Did the Data Get it Right? The 2018 US Mid-term Elections

Over the past few weeks, every lawn, street corner, email, and blog post touted the mantra to get out and vote. The 2018 US mid-term elections drew more attention than ever, and data has its stamp on every element.  With the Democrats taking the House, and the GOP increasing their hold on the Senate, both parties have claimed victory. But did things go as expected? For the details without the drama, it all comes down to what the data says. What History Says Voter registration, census taking, and good old-fashioned grass roots efforts across the country have fed information into the system. So, what did the numbers say? Let’s see what one of the most well-known poll tracking systems thought. Data collected since the 1934 elections, according to the American Presidency Project at UC Santa Barbara, provides historical information on seat swings and seats defended in both the House and the Senate. Though approval ratings factor in, data is collected in aggregate, and takes no account of candidates, issues, or political conditions. This is the closest information may get to being truly nonpartisan. Outside of this aggregation, two familiar factors also play a part, public assessment of the incumbent and the number of seats in Congress controlled by the President’s party. Though no matter which party the president favors, it has been historically proven, that their party loses seats and the opposite party gains seats. However, lower approval ratings usually mean more seats lost and the opposite party’s gain.  Predictions for 2018 were generally accurate regarding the number of flipped seats, although Republican Senate gains did buck the trend.  A Grass Roots Dive into House Races Across the US Though results are often based on the sitting president’s impact on midterm elections, and the state of the national economy, it’s important to note that control ultimately depends on voters. In today’s midterm climate, grassroots efforts in over 400 districts, have taken shape and were key to the midterm results. These key areas are shaped by five geographic regions collapsed into three “super regions”: The West/East Coast Alliance The New South/Heartland Alliance The Blue-collar Midwest Within these regions, four key indicators, which over the years have been the general consensus of where data might find its answers, also pointed in the direction we saw.  Key indicators prior to the 2018 midterm election included: Presidential approval rating Congress' approval rating Citizen’s satisfaction with the state of the union Current economic conditions All four indicators have strong statistical relationships with seat change for the president's party, such that when the indicators are worse, the president's party loses more seats. It may be the first and last of these that had the greatest impact in 2018, with a controversial President who leads a strong economy defining the campaign trail.  As the next few weeks unfold, analysts will continue to look at the data, determining what it might mean for the 2020 Presidential election. However, with mixed results, the events of the next two years may still have a dramatic effect on what to expect.  Predictive Analytics, Big Data, and Digital Analytics define the world, whether predicting elections or improving a business’ goals for the coming year. If data gets your vote, we may have a role for you. We specialize in junior and senior roles. Check out our current vacancies or contact one of our recruitment consultants to learn more.   For our West Coast Team, call (415) 614 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 6070 or send an email to newyorkinfo@harnham.com.

Who You Know Meets What You Know With Insight Marketing

“Life moves pretty fast. If you don't stop and look around once in a while, you could miss it,” quipped Ferris Bueller in the 1986 classic film Ferris Bueller’s Day Off. Today, over thirty years later, fast barely scratches the surface. Companies such as Netflix, Uber, AirBnB, and Google have redefined markets, and strongly influence how we travel, explore, shop, and communicate.  Using predictive modeling, behavioral analysis, and advanced analytics tools, these companies, and others like them can learn and disseminate insights into consumer behavior and respond as needed. Yes, life does move pretty fast in the digital age. Yet, as much as we’re connected online, we still need to connect in person from time to time. It’s this integration which is driving tomorrow’s marketing strategies and recruitment efforts. After all, what is job searching, but marketing yourself? And to that end, what is marketing, but expert presentation? As we round out the year and look to the next, let’s take a look at what 2019 has in store: Be Human With the rise of AI, machine learning, and automation, it can feel as though we’ve crossed a threshold into another world. But, we are still human and so want to interact as humans. People put their trust in brands they know and respect. Ultimately, they want and need helpful and relevant information that they can connect with. Be Helpful and Authentic Trolls disband. Consumers and candidates look to their peers, editorial sites, and reviews to make more informed decisions. Think Glassdoor and Yelp and add a personal touch. By building and maintaining relationships, whilst offering help whenever possible, brands can earn more consumer trust. If You’re Job Searching, Consider this: Virtual Reality (VR) and video submissions are starting to be used to assess candidate hard and soft skills. In the video, how you present yourself, act, and speak will weigh just as heavily as how well you perform tasks. Tell Your Story Every individual – candidate or consumer - is more than the paper they’re written on or the video in which they’re seen; there is a story behind who we are and how we got to this place. Hiring managers want to hear candidate’s stories. Both humans and ATS are able to sense personality through story. Marketers have been and will continue to tell stories about their products to build rapport and create an emotional connection to a brand. Both offer insights into the individual. Creativity, not Conformity is Key Find new ways to engage your audience. Consider integrated campaigns and get creative. What are your competitors doing? What could you do differently to stand out? Leverage Your Online Tools Today’s world is integrated and proactive. Use the internet and the tools it provides to leverage your brand such as your website, portfolios, and social media.  The way to communicate with candidates and consumers may have changed, but the necessity to do so hasn’t.  We want to hear from you.  If you’re interested in data and analytics, we may have a role for you. Check out our current vacancies or contact one of our recruitment consultants to learn more.   For our West Coast Team, call (415) 614 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 6070 or send an email to newyorkinfo@harnham.com.

Recently Viewed jobs