Why KYC Compliance is Crucial for Faster Merchant Onboarding
The merchant onboarding process sits at the crux of the payments segment, its efficacy the basis for or deterrent of growth for organizations in this soon-to-be $2-trillion industry. Rapidly evolving, the global payments industry faces challenges and opportunities brought on by regulatory changes, macroeconomic trends, and fintech’s foray into the payments business.
As payments organizations navigate the circumstances of the industry none are immune from the digital transformation that is sweeping financial services as a whole. Customers and merchants grow accustomed to speedier, more convenient service, turning payments providers to digital infrastructure improvements to gain advantages in speed and flexibility. Meanwhile, up and coming startups are bursting onto the scene with unprecedented agility.
“The transformation and disruption of the merchant services business is playing out right in front of our eyes – and in real time. I would characterize it as co-opetition on steroids right now as hardware, software, payments, processing services and new platforms all converge, consolidate and collide to reshape the merchant services supply chain in entirely new ways.”
Karen Webster, President of PYMNTS.com
Merchant Onboarding: Key Topics
This guide to faster merchant onboarding explores foundational themes within merchant onboarding while offering the resources to dive deeper into topics of interest such as:
Merchant acquisition is plagued by the same age-old challenges around regulations, trends, and competition that reflect the payments industry at large. However, where the industry dynamic once danced between the competitive margins negotiated by large retailers and the compliance headaches brought on by smaller merchants, the spectrum has spread to include the burgeoning marketplace economy. This is a world where everyone is a merchant, rendering merchant onboarding volume and transactional volume simultaneously opportunistic and challenging. A segment of innovative payments firms is navigating the risk and compliance gap that the marketplace economy has introduced.
As the payments industry evolves to serve ever growing commercial channels, organizations strive to improve around two major advantages: speed and compliance.
Some of the biggest disruptors in the payments segment have excelled with five-minute onboarding times in the face of an industry that traditionally accepted a 3-5 day, even up to weeks-long, merchant onboarding process. Shrinking onboarding cycles that automate compliance coupled with advanced analytical capabilities are contributing to simpler-than-ever merchant experience as processors and facilitators are able to handle the astounding volume.
CUSTOMER DATA VERIFICATION (KYC)
COUNTERPARTY CREDIT CHECK
Collection of all necessary documents, supporting information (ID, corporate registration documents)
Credit score (e.g. Fico, internal models)
Capture of all data
Verification static data such as address, location, account information
Merchant Industry Code (determines risk of non-delivery exposure) such as travel, leisure and non-physical goods
Upload of supporting documents
Commercial history (how long in business)
Assessment of transactions volume, geographic footprint, FX risk
Check if all data is complete, accurate
Merchant Industry (MIC)
Does KYC and Counterparty credit check both point to approval?
Basic KYC checks (OFAC, PEP checks)
Commercial background of managers and corporations (how long in business, in industry)
Activation of customer, ready to accept and transact payments in cards
In eCommerce: web crawler to detect negative traffic
The nature of each transaction and associated risk will determine its responsibility with regard to various global KYC statutes. For example, payments facilitators face regulatory requirements on either side of the decoupled transaction. They are subject to regulations as they charge customers, and again when they disburse funds to merchants. In some scenarios, payments providers are assuming additional risk on behalf of merchants and so KYC processes are integrated into complex credit risk workflows. Intricacy only increases when companies are engaging in cross-border activity or operating in particularly regulated industries.
While the KYC/AML component of the merchant onboarding process used to be highly manual, today’s foremost payments firms are adopting advanced automation technologies to support:
The integration and standardization of structured and unstructured data in support of OFAC and PEP checks, blacklist checks, and other due diligence resources.
Business rules and process workflows that automate cross-border or regional specialization, intelligently applying appropriate rules to ensure compliance in every case.
Implementation of traditional and machine learning techniques in the creation and native operationalization of analytical models.
Transaction Monitoring AML
Like every corner of the payments universe, transaction monitoring and AML/CFT compliance are being propelled forward by technological progression. In fact, three movements have most significantly impacted AML/CFT monitoring:
Proliferation and accessibility of data.
Enhanced processing power that supports unprecedented speed and volume.
Widespread acceptance of advanced data analysis techniques.
Proliferation and Accessibility of Data
Historically, AML exposure data has been centralized to a select group of firms – packaged and commercialized for global use. However, around the time we gained the ‘Big Data’ buzzword, payments firms gained accessibility to a whole slew of untapped data. Pair the variety and volume of data that has become available with enhanced analytical capabilities, and compliance professionals now hold the reigns when it comes to powerful, data-centric AML/CFT insight.
In this era of automation, transaction monitoring strategies have to acknowledge the need for efficient data aggregation — the ability to analyze data is no longer enough. Web crawling technologies and copious APIs have opened up the world of data, and forward-thinking companies are capitalizing on its availability.
“Data! Data! Data! … I can’t make bricks with clay!
Sir Arthur Conan Doyle, Adventures of Sherlock Holmes
Enhanced Processing Power
In the meta-story, processing power has seen exponential uplift since the day we put an abacus in a museum. Let’s be precise: We have seen a 1-trillionfold increase in processing power over the course of 60 years.
In parallel to improved computing performance, we have also experienced a shift from primarily bare metal environments to cloud or hybrid infrastructures which introduce new opportunities.
Widespread Acceptance of Advanced Data Analysis Techniques
Machine learning is the future. Machine learning is here. It’s everywhere and for good reason. But, it’s not new. Machine learning in theory and application has a long history in academia and computer science. Now, it’s making its way into the mainstream of, well, everything – financial services notwithstanding.
Payments firms are familiar with machine learning techniques in transaction monitoring and data sciences are only becoming more predictive with time. Many firms are exploring ensemble models like Random Forest and Gradient Boosting to increase stability and accuracy in predictive analytics.
Merchant Onboarding Solutions
Provenir’s unified risk analytics and decisioning Platform can automatically gather data from multiple systems and bureaus, standardize and analyze it to drive a decision. With Provenir, you can complete KYC, AML and other compliance processes in minutes, offering clients quick onboarding while improving compliance at lower cost.
Easily configured adapters facilitate fast integration with internal and external systems and bureaus to automatically aggregate all of the data required.
Dynamic business rules ensure only the right data is aggregated, eliminating expensive, unnecessary calls to bureaus and third-party systems.
Automated standardization creates data uniformity across multiple data formats, countries and currencies.
Automated workflow identifies, verifies and validates the customer, performs checks and flags areas of potential risk.
Adapters extend the value of current compliance systems as you can easily use Provenir to aggregate, standardize and pass data to existing systems.
Business-friendly configuration tools let users quickly create, test, modify and deploy rules, processes, user interfaces and integrations to increase business-level control and agility.
3 Unique Opportunities for Payments in the Sharing Economy
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors.
This cookie is installed by Google Analytics.
This cookie is installed by Google Analytics.
A variation of the _gat cookie set by Google Analytics and Google Tag Manager to allow website owners to track visitor behaviour and measure site performance. The pattern element in the name contains the unique identity number of the account or website it relates to.
Provided by Google Tag Manager to experiment advertisement efficiency of websites using their services.
This cookie is used for collecting information on users visit to the website. It collects data such as total number of visits, average time spent on the website and the pages loaded.
This cookie is used for collecting information on the users visit such as number of visits, average time spent on the website and the pages loaded for displaying targeted ads.
Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously.
Registers user behaviour and navigation on the website, and any interaction with active campaigns. This is used for optimizing advertisement and for efficient retargeting.
This cookie is set by Segment to count the number of people who visit a certain site by tracking if they have visited before.
This cookie is set by Segment to help track visitor usage, events, target marketing, and also measure application performance and stability.
Linkedin set this cookie to store information about the time a sync took place with the lms_analytics cookie.
This cookie is set by Typeform for usage statistics and is used in context with the website's pop-up questionnaires and messengering.
YouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data.
Registers statistical data on users’ behaviour on the website. Used for internal anyalytics by the website operator.
The pardot cookie is set while the visitor is logged in as a Pardot user. The cookie indicates an active session and is not used for tracking.
Generates an unique anonymous Id to identify a user and attach to a subsequent event.
To store a unique user ID for the purpose of Marketing/Tracking.
Scorecard Research sets this cookie for browser behaviour research.
Wistia sets this cookie to collect data on visitor interaction with the website's video-content, to make the website's video-content more relevant for the visitor.