Smile API Weblog

Navigating the world of credit can often seem complex and intimidating. Your credit score, a three-digit number that signifies your credit health, is a critical aspect of your financial life. Traditional credit data has long been the standard for assessing creditworthiness, but in today's dynamic world, alternative credit data presents a new frontier for those with limited credit histories. Smile API is a pioneering platform offering valuable insights into an individual's financial capabilities through real-time, consent-driven verification of employment and income. Let's dive into understanding the intricacies of credit scores and how Smile API is transforming the lending landscape. What is a Credit Score and Its Significance? A credit score is a numerical expression of your creditworthiness, derived from your credit history. It considers numerous factors, including payment history, credit utilization ratio, the age of credit accounts, and more. A favorable credit score can be your ticket to competitive interest rates and financial opportunities, whereas a poor score could hinder your access to essential financial services. Where does the Credit Score Come From? In the Philippines, a borrower's credit score usually comes from traditional credit reports which is managed by the Credit Information Corporation (CIC), a state-owned entity established under Republic Act No. 9510, also known as the Credit Information System Act (CISA). Partnering with credit bureaus like CIBI, CRIF, and TransUnion, the CIC consolidates data from financial institutions to provide a credit report, which is the input for most credit scores. What the credit bureaus do is to convert the report into a score to aid in faster and more efficient credit decisioning. Credit scoring just involves a statistical analysis of a consumer's credit report to ascertain their creditworthiness. The score is derived from various factors, including: Payment History: Lenders assess the punctuality of previous payments. Credit Utilization Ratio: The level of revolving credit in use is evaluated against total available credit. Length of Credit History: The duration of active credit accounts is considered. New Credit Inquiries: The frequency of credit applications is scrutinized. Credit Mix: The diversity of credit accounts is taken into account. Disadvantages of Traditional Credit Scoring Despite their vital role, these traditional bureaus face challenges. Predominantly, these systems depend heavily on an individual's credit history — a record of their borrowings and repayments over time. This reliance often disadvantages certain groups, notably the unbanked or underbanked individuals, who may not engage in traditional financial activities that would otherwise contribute to a credit trail. As a result, these individuals can find themselves with either a thin credit file or no credit report at all, rendering them virtually invisible to the mechanisms that govern the extension of credit. Additionally, the data used by traditional credit bureaus is inherently retrospective. It provides a snapshot of a person's past behavior but may not accurately capture their current financial health or potential. For instance, someone may have improved their financial habits or experienced a significant positive change in their circumstances, such as a pay raise or a new, stable job. Traditional credit scoring models

Smile API, a financial inclusion data provider for the fintech sector specializing in real-time access to income and employment data, has closed a funding round with the Up-Scaling program of DEG. DEG is the German Development Finance Institution. Through its Up-Scaling program, which is co-financed by the German Ministry for Economic Cooperation and Development (BMZ), DEG finances innovative FinTech and GreenTech companies in emerging markets. In December 2023, DEG has chosen to fund Smile API with its efforts in the Philippines and Southeast Asia, recognizing its vital role in enhancing financial inclusion across Southeast Asia. The investment is a testament to the ongoing collaboration between Germany and Southeast Asia promoting sustainable economic growth and development. Smile API, with its innovative technology, plays a crucial role in bridging the financial inclusion gap in the region, enabling individuals to take control of their own personal information to get access to financial services. "DEG's funding represents a shared vision of empowering the underbanked and unbanked populations in Southeast Asia," stated Jerome Eger, CEO of Smile API. "Our technology, supported by DEG's belief in our mission, will drive forward a new era of financial inclusivity, where access to credit and financial services is no longer a barrier to economic participation and growth." Smile API harnesses data from diverse sources, including employment documents, HR and payroll systems, gig platforms, social security systems, and more. This approach enables more nuanced and inclusive credit decision-making, which traditional methods based on bank accounts and credit card history often overlook. The Up-Scaling financing aligns with Germany's broader efforts in the region, focusing on economic cooperation, renewable energy, environmental technology, and climate change mitigation. This funding is a step towards realizing the shared goal of sustainable development and inclusive economic growth. Smile API's commitment to financial inclusion and DEG's support exemplifies the power of international cooperation in addressing global economic challenges and advancing the welfare of communities across Southeast Asia. ### About Smile API Smile API is at the forefront of employment data analytics for credit decisions. The company provides a single API that aggregates employment data from various platforms, empowering lenders with enhanced decision-making capabilities, thereby increasing adoption and conversion, reducing costs, and minimizing risks. About DEGInvest DEG, a subsidiary of KfW, offers financing, advice and support to private sector enterprises operating in developing and emerging-market countries. As an experienced partner, DEG supports their customers with in-depth market knowledge, impact and climate expertise and an international network to advance forward looking investments. Press Contact For more details about Smile API, contact Bianca Ulan, Marketing Director, email: info@getsmileapi.com.

MANILA, PHILIPPINES, [Date] - In an important step forward to refine their hiring process, Adventus, a distinguished Information and Communications Technology (ICT) Solutions and Services Provider with a broad footprint across Asia, has formed a strategic partnership with Smile Checks. This collaboration is poised to make Adventus's background investigation operations quicker and more secure, ensuring a smoother and safer onboarding experience. Smile Checks, brought to you by Smile API, stands as a leading provider of employment data services, offering real-time, user-consented access to a vast array of verified employment information. With direct links to reliable data sources in the Philippines, Smile Checks offers a solid solution for businesses seeking detailed background checks. Adventus is a pioneer in the ICT solutions and services space, dedicated to facilitating positive business changes through the smart use of innovative solutions and relevant services. With a firm belief in the role of technology in creating competitive edges and introducing business innovations, Adventus is devoted to preparing businesses for tomorrow, today. Their unparalleled customer care and focus on delivering intelligent IT solutions have positioned Adventus as a leader in customer satisfaction within the industry. The adoption of Smile Checks by Adventus signifies a noteworthy improvement in their capability to conduct detailed and dependable background investigations. With Smile Checks, Adventus now enjoys access to a centralized database of employment data, enabling quicker and more precise evaluations of prospective employees.  Reflecting on the collaboration, Paulo Demalata, the Human Resources Operations Specialist of Adventus, noted, "I recently had the chance to work with Smile Checks for our background investigation needs, and it went beyond our expectations. Smile API is swift, dependable, and provides the crucial employment data we require before the onboarding of employees. I strongly recommend Smile API to anyone looking for comprehensive and dependable background investigation services." We invite businesses and HR practitioners to discover the reliability and efficiency of Smile Checks! In line with our dedication to excellence in recruitment processes, Smile Checks is offering a special promotion: use the referral code "SmileChecksMarch" to receive 1 free background check credit.  For more information and to claim your free background check credit, please visit us at: https://smilechecks.getsmileapi.com/ ### About Smile Smile revolutionizes hiring by instantly verifying candidate backgrounds with our automated pre-employment screening solution, reducing risks and costs while empowering employers to make faster, fairer hiring decisions. Unlike traditional background checks, we aggregate employment and income data in real-time from multiple sources for comprehensive, accurate candidate profiles. About Adventus Adventus is an Information and Communications Technology (ICT) Solutions and Services Provider with a wide foot print in Asia that helps organizations bring about positive transformations to their businesses through the intelligent applications of innovative solutions and pertinent services. We believe strongly that the winners in a globalized and ultra-competitive marketplace of today are defined by how they are able to effectively leverage techn

The process of recruitment and selection has become more crucial than ever for companies looking to stay ahead of the game. This is especially true for Business Process Outsourcing (BPO) companies, where the success of their operations heavily relies on the quality and reliability of their employees. As the demand for skilled and qualified candidates continues to rise, BPO companies are facing increasing challenges in identifying the right candidates who possess the necessary skills, experience, and cultural fit for their organization. In order to mitigate these challenges, BPOs are turning towards digital pre-employment screening as a critical tool in their hiring process. This cutting-edge technology not only streamlines and expedites the screening process, but also provides valuable insights and data to make informed hiring decisions. In this article, we will delve into the importance of digital pre-employment screening for BPOs, and how it can help them build a strong and successful workforce. Mitigate risks with thorough screening An essential aspect of ensuring the success and security of a BPO (Business Process Outsourcing) operation is to mitigate risks through thorough screening of potential employees. In an industry where companies handle sensitive data, financial transactions, and customer information, it is crucial to establish a robust screening process that goes beyond traditional methods. By implementing digital pre-employment screening, BPOs can significantly reduce the chances of hiring individuals with fraudulent intentions or questionable backgrounds. Such screening enables the verification of credentials, employment history, references, and even criminal records, providing a comprehensive assessment of an applicant's suitability for a role. Furthermore, digital screening platforms offer the advantage of increased efficiency and accuracy, streamlining the hiring process and allowing BPOs to make well-informed decisions that align with their security objectives. By prioritizing thorough screening, BPOs can proactively safeguard their operations and reputation while fostering a secure and trustworthy work environment for both clients and employees. Streamline hiring process with technology In today's fast-paced business environment, BPOs (Business Process Outsourcing) must continually find ways to optimize their operations and stay ahead of the competition. One area where technology can play a crucial role is in streamlining the hiring process. By leveraging digital solutions, BPOs can automate and expedite various stages of recruitment, from candidate sourcing to assessment and onboarding. With the help of applicant tracking systems, companies can efficiently manage and track applicant data, ensuring a more organized and efficient hiring process. Additionally, video interviewing platforms enable remote interviews, saving time and resources while still allowing hiring managers to assess candidates effectively. By embracing technology in the hiring process, BPOs can improve their overall efficiency, reduce costs, and attract top talent to drive their success in the industry. Verify credentials for top candidates To ensure the quality and reliability of their workforce, BPOs must prioritize verifying the credentials of top candidates. This is essential to maintain a high level of trust and protect the reputation of the organization. Digital pre-e

Candidate Onboarding Form Gets a Revamp We are excited to announce the enhancement of our Candidate Onboarding Form. The newly designed form now includes a list of steps for each part of the process flow that updates as the candidate proceeds. This ensures a smooth, guided experience for candidates as they navigate through the form. In response to user feedback, we have also made adjustments to improve usability for keyboard-only input and mobile device users. To streamline data sharing, we have optimized the verification flow ensuring candidates can easily share all necessary data for processing their application. Finally, to further assist candidates in their busy schedules, we have introduced automated email and SMS reminders, prompting them to complete their background check requirements on time. In response to user feedback, we have also made adjustments to improve usability for keyboard-only input and mobile device users. To streamline data sharing, we have optimized the verification flow ensuring candidates can easily share all necessary data for processing their application. Finally, to further assist candidates in their busy schedules, we have introduced automated email and SMS reminders, prompting them to complete their background check requirements on time. Introducing the Self-Service DIY Portal In our pursuit to empower recruiters and HR personnel further, we have launched a self-service DIY portal for Smile Checks. This portal allows users to: Sign up to try out our service with 1 free Check Request Submit Check Requests Monitor the status of Check Requests Purchase credits for additional Check Requests This portal aims to make the verification process more intuitive and efficient by giving users direct control over their requests. Sign up and get free background check credits! We believe in the power of communities and networks in promoting valuable resources, and we want to extend this opportunity to interested companies and organizations. Sign up to our portal to get one background check credit: https://smilechecks.getsmileapi.com/signup We remain committed to continually enhancing our service to better serve our users. Stay tuned for more updates and improvements. Thank you for your ongoing support!

Traditional credit scoring models have been the go-to method for lenders to assess risk and make lending decisions. However, these models have some major limitations, especially when it comes to serving thin-file consumers with little to no credit history. In the Philippines, only around 20-30% of the adult population have sufficient credit information to generate a credit score. This results in a massive unserved segment that traditional models fail to evaluate properly. To expand access to credit and make better risk decisions, lenders need to look beyond traditional scoring and adopt alternative data sources. In this blog, we explore the top 5 alternative credit scoring models that leading lenders are using today. Limitations of Traditional Credit Scoring Traditional credit scoring relies solely on historical repayment behavior and credit bureau data to generate a credit score. This works well for consumers with a lengthy credit history. But those without existing loans or credit cards fall into a "thin file" segment that cannot be assessed properly. Some key limitations of traditional credit scoring models include: Need for historical credit usage - not feasible for first time borrowers Narrow focus on credit bureau data No insight into true income or payment capacity High rejection rates for thin file consumers Lag in score updates - only reflects historical behavior These drawbacks mean traditional scores fail to provide a complete risk profile, especially for thin file consumers like the unbanked, gig economy workers, and those without extensive bureaucracy records. The Rise of Alternative Credit Scoring To address these gaps, lenders are adopting alternative data sources that can evaluate a consumer's creditworthiness even without traditional credit history. Some fast emerging alternative credit scoring models include: Payroll Data Underwriting Payroll details directly reflect a person's income streams and payment capacity. Earned Wage Access providers like Savii allow lenders to verify employment and income data via API for thin file applicants. Using payroll data enables more accurate assessment of debt-to-income ratios. It also provides stability indicators like length of employment and frequency of pay. Telco, Utility Payment Tracking Timely utility and bill payments demonstrate financial responsibility even without formal credit history. Finscore, as an example, collects such alternative data and provide insights into telco usage and payment patterns not found in credit reports. It enables lending to consumers with limited bureau footprints. Bank Account Activity Analysis Analyzing income streams and spending patterns from bank account data provides a detailed view of an applicant's cash flows. This allows more accurate predictions of repayment ability, especially for gig economy and self-employed segments with variable incomes. An example of a company doing this is Brankas. Employment History Verification Longer tenures and more stable employment indicate lower income volatility risks. Verifying employment history through APIs like Smile provides income stability estimates for thin file consumers. Social Media and Online Footprint Scoring Alternative scores from startups