Smile API Weblog

Employment background checks are essential for any organization to ensure they hire trustworthy and qualified employees. However, the traditional methods of conducting these checks can be time-consuming and labor-intensive. The manual process involves gathering paperwork, verifying references or education, and conducting criminal checks – all of which can take weeks or even months to complete. In a fast-paced business world, this can delay the hiring process and lead to missed opportunities. Fortunately, digital solutions can streamline the process of employment background checks, eliminating delays and reducing costs. In this blog post, we will explore how digital solutions can simplify and speed up the background check process while still ensuring accuracy and reliability. We will explore some of the innovative technologies that are available and how they can support HR professionals and recruiters in their hiring efforts. From identity verification tools to automated reference checking processes, these digital solutions have the potential to revolutionize the way organizations conduct employment background checks. With the use of these technologies, companies can improve their time-to-hire rates, reduce Digital solutions can automate the entire background check process, reducing the need for manual data entry and paper-based documentation. Digitizing employment background checks can revolutionize the entire process. With the help of digital solutions, the entire background check process can be automated, which helps to reduce the chances of errors, the need for manual data entry, and paper-based documentation. With digitization, it becomes easier to access, maintain and interpret information promptly. Furthermore, digital platforms can streamline communication between hiring managers, candidates, and third-party providers, ensuring everyone stays on the same page. By automating the process, the turnaround time for background checks can be significantly reduced, enabling companies to recruit new hires quickly and at a lower cost. Overall, the adoption of digital solutions can lead to greater accuracy, efficiency, and reliability in background screening, allowing companies to make informed hiring decisions with confidence. Online forms can be completed and signed electronically, expediting the process and reducing errors. Employment background checks can be a time-consuming and error-prone process, that can slow down hiring and onboarding for new employees. However, digital solutions like electronic signatures can streamline the process and reduce the risk of errors. Online forms can be completed and signed electronically, expediting the process and making it easier for both the employer and the candidate to submit and review information. Electronic signatures also ensure that all required fields are completed and all necessary documents are signed, reducing the risk of incomplete or missing information. By incorporating digital solutions like electronic signatures into the employment background check process, organizations can save time and reduce errors, enabling them to onboard new employees faster and with greater ease. Automated screening tools can quickly verify identity, employment history, education, and professional licenses, ensuring accuracy and consistency in the hiring process. In today's fast-paced business world, time is money, and every minute counts. Hir

On March 23, 3 PM, Smile API will release the third episode of their podcast series, #TheSmileAPIPodcast. In this episode, Jerome Eger, CEO of Smile API, talks to Jove Tapiador, the President of Rural Bank of Silay City and Co-founder of GoodTech, about the challenges and opportunities facing the Fintech industry in the Philippines. The podcast explores the latest trends and innovations in Fintech that can benefit Filipinos, from alternative data to open finance. Jove Tapiador shares his insights on the challenges facing the Fintech industry in the Philippines, including the issues of financial inclusion and access to credit for underserved communities. He also discusses how GoodTech is addressing these challenges by providing a mobile-first, cloud-native, neo-banking platform powered by financial scoring and education systems through its product GoodBank. During the podcast, Jove Tapiador also talks about the challenges and opportunities in rural banking in the Philippines. With his extensive experience in general consulting, electronic payments, rural banking, microfinance, and community development, Jove Tapiador provides valuable insights into the financial landscape in the Philippines and the potential for Fintech to make a positive impact on the lives of Filipinos. About Smile API Smile API provides employment data across different employment platforms and employers, all through a single API for credit decisions and loan underwriting. With Smile API, lenders can make better decisions, increase adoption and conversion, reduce cost, and lower risk. About GoodTech GoodTech is a financial technology provider focused on financial inclusion for millions of underserved communities in the Philippines. GoodBank is a mobile-first, cloud-native, neo-banking platform powered by financial scoring and education systems, which is a product of the Rural Bank of Silay City.

The world of credit and loan underwriting has changed drastically in recent years, particularly with the introduction of new technologies. In a constantly evolving industry, companies must keep up with the advancements in order to remain competitive and provide the best services to their customers. Technology can be a major enabler in both credit decisioning and loan underwriting, allowing companies to make decisions faster and more accurately, while reducing the risk of bad loan decisions. In this blog post, we will explore how specifically technology can help companies achieve rapid credit decisioning and less risky loan underwriting. We will examine the types of technologies available, the benefits they provide, and the considerations companies must make when implementing them. Through these insights, we hope to provide a comprehensive look at how technology can enable companies to make more informed and accurate loan decisions. Automation of manual processes As technology advances, it is becoming increasingly possible to automate manual processes in order to make credit decisioning and loan underwriting faster and less risky. Automation can reduce the time it takes to go through the application process and minimize the potential for human error. It can also provide more accurate and up-to-date data and analytics that can enable faster and more informed decisions. Automation can also reduce the need for manual labor and help to create a more efficient and cost-effective process. Automation can also reduce fraud and errors, thus minimizing the risks associated with loan underwriting. Access to massive amounts of data Having access to massive amounts of data is essential for rapid credit decisioning and less risky loan underwriting. Technology can easily facilitate the access, storage, and analysis of vast amounts of data, providing a comprehensive view of the potential borrower’s credit history and financial habits. This allows loan underwriters to quickly and accurately assess a borrower’s creditworthiness and identify any potential risks associated with the loan. This can help reduce the amount of time and effort required to assess a loan application, resulting in faster decisions and more informed underwriting. Advanced analytics for credit scoring Advanced analytics for credit scoring is becoming increasingly popular among lenders, as it allows them to quickly assess the risks associated with potential borrowers. This type of analytics uses a combination of machine learning and artificial intelligence techniques to analyze large amounts of data and determine a borrower's creditworthiness. It can also take into account a variety of external factors, such as demographic information and economic trends, to help lenders make more informed decisions. By using this technology, lenders can make more accurate choices and make faster decisions that are less risky. Automated credit decisioning systems Automated credit decisioning systems are one of the most effective ways to enable a more rapid credit decisioning process. These systems use algorithms to analyze an applicant’s credit score, financial history, and other relevant data to accurately assess the applicant’s ability to repay a loan. This automated process eliminates the need for manual underwriting, which is time-consuming and can lead to more risky loans. Automated credit decisioning systems can help reduce the pote

- Image Source: Melpomenenem from Getty Images via Canva Software development has come a long way since the early days of computing. Today's developers have access to an abundance of powerful tools and technologies that make it easier to build complex systems and applications. One such tool is the Application Programming Interface (API), which allows developers to connect different software components and systems to create seamless workflows and user experiences. Despite the many benefits of APIs, however, there are still many misconceptions surrounding their use. From thinking that all APIs are the same to underestimating the importance of security, these misconceptions can lead to ineffective implementations, security vulnerabilities, and other issues. In this article, we'll explore some of the most common API misconceptions and their implications. We'll also provide tips and best practices for avoiding these misconceptions and using APIs more effectively. Whether you're a seasoned developer or just starting out, this article will help you gain a better understanding of APIs and how to make the most of them. Misconception #1: APIs are not secure and are open to data breach issues One of the most common misconceptions about APIs is that they are not secure and are vulnerable to data breaches. While it's true that APIs can be vulnerable to security threats, this is not necessarily the case for all APIs. In fact, with the right security measures in place, APIs can be highly secure and protected from data breaches. It's important to understand that APIs are just like any other component of a software system and require appropriate security measures to ensure their protection. By following best practices for API security, such as strong authentication and authorization mechanisms, encryption of sensitive data, monitoring for unusual activity, and implementation of rate limiting to prevent DoS attacks, businesses can help ensure that their APIs are secure and protected from data breaches. In addition, many API providers are taking steps to improve the security of their APIs by implementing security features such as multi-factor authentication, API key management, and OAuth authorization. These features help ensure that only authorized users are able to access the API, and that sensitive data is protected from unauthorized access. Misconception #2: Only tech-savvy people or the IT department can handle APIs Another common misconception about APIs is that they require a high level of technical expertise to use and must be handled exclusively by the IT department. While it's true that some technical expertise is required to develop and maintain APIs, it's not necessary to be a tech expert to use them. In fact, many non-technical people are already using APIs without even realizing it. For example, when you use a mobile app to order food from a restaurant, the app is likely using an API to communicate with the restaurant's ordering system. Similarly, when you use a social media app to post a photo, the app is using an API to interact with the platform's image hosting and sharing system. For instance, let's say you're a loan underwriter looking to automate your credit decision-making process. You've heard about the Smile API, which provides employment data across different employment platforms and employers through a single API for credit decisions and loan underwriting. Even if

- The Smile API Podcast recently featured Gani Cuyugan, the Co-Founder and Chief Sales Officer of Kwik.insure. In this episode, Jerome Eger, CEO of Smile API, sat down with Cuyugan to discuss the future of the insurance industry and Kwik.insure's unique approach to financial inclusion. As the first and only locally founded insurtech company in the Philippines, Kwik.insure's mission is to accelerate insurance inclusion through technology and product design, catering to the different needs of all Filipinos. With a passion for serving the underserved, Cuyugan shared his insights on how Kwik.insure is changing the game in the insurance industry by making insurance accessible to everyone. During the podcast, Cuyugan discussed his years of experience in the insurance industry. Cuyugan shared how these experiences helped shape his vision for Kwik.insure and how the company's innovative approach is making a difference in the industry. Kwik.insure's unique approach to making insurance accessible to everyone through technology and product design is truly inspiring, and we are excited to see how they will continue to shape the industry. To listen to the full episode of The Smile API Podcast featuring Gani Cuyugan, visit our #TheSmileAPIPodcast on Spotify and YouTube! About Smile Smile believes that access to your own data is a basic right. They provide employment data across different employment platforms and employers, all through a single API for credit decisions and loan underwriting. Unlike traditional sources of credit data like credit scores, black lists, or manually submitted documents, Smile provides greater coverage, real-time access, and the most recent, comprehensive, verified, data about your users' identity, employment, and income that is available in the market today. Lenders can make better decisions, increase adoption and conversion, reduce cost, and lower risk through Smile API. About Kwik.insure Kwik.insure is the first and only locally founded insurtech company in the Philippines. Through it’s insurance online marketplace and partnerships with other companies both online and offline, it’s mission is to accelerate the insurance inclusion in the Philippines. It aims to make insurance available to everyone through technology and product design, catering to the different needs of all Filipinos.

Welcome to our quarterly product update blog post! As the leading API for secure and accurate data verification, Smile API is always looking for ways to improve and enhance the user experience. That's why we’re excited to share what we were working on in the last quarter of 2022. Our team has been hard at work preparing new features and improvements that we think you’ll love. So without further ado, let’s jump right in. New Customizable Web SDK That Increases Conversion Based on 90% worker coverage that Smile built in 2022, we're empowering our clients to provide services to these potential customers through the second version of our Wink Widget SDK. The new SDK focuses on many user experience improvements without compromising on performance, security, and its ease of embedding into any native fintech apps or finance applications. A lighter footprint, faster loading time, and flow improvements ensure that end users can quickly and easily engage with the Wink Widget -- enabling clients to get the data they need for critical underwriting and decisioning processes. - Smile has also focused on in-widget login support for the new Wink Widget, to ensure that end users have ample support when it comes to determining their login IDs and passwords without leaving the widget or app. In addition, we’ve integrated several new features that enable our clients to customize the Wink Widget even further. Wink Widget Templates let clients customize more of the experience, providing a seamless co-branded experience for end users that helps with conversion and trustworthiness. Reducing Non-Performing Loans Through Better Data Points Smile has helped underwriters reduce non-performing loans by over 60% through empowering end-users with sharing their employment and income data in a secure and user-permissioned manner. We've continued to make strides in improving our available data points to ensure you have the data you need. We've onboarded and deepened more data points in the last quarter of 2022 that assist in making better credit decisions for every underwriter. The additional data points and sources also open up other possible uses for this data, such as pre-employment screening and onboarding background checks. These data points include: NBI Clearance records Additional payroll systems Payslip data from available payroll systems Additional document type information on Documents data points Increased length of time to process archives We've also continued to improve on our estimated income data from government-mandated contributions, which we released earlier in 2022. We added derived data from Pag-IBIG contributions as well as ongoing improvements on income calculations. The various data points available and Smile's derived data help to unify and understand income data across all employment sectors. With this, risk managers and decision-makers can see a simple income per month data point as one solid basis for lending decisions. Development Tools to Make Life Easier We've made several updates to various developer tools and resources to speed up integration and onboarding. Smile is committed to making sure even your developers smile, and in that vein we've added three new sections to our Documentation: Solutions Onboarding Recipes - We've also beefed up our available webhooks to ensure you get the information you need when you need it. You can listen to the new TASK_STARTED and TAS