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Landmark Point Predictive Fraud Study Details Record Year for Auto Loan Fraud in 2020

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SAN DIEGO–(BUSINESS WIRE)–Apr 15, 2021–

Point Predictive Inc., the San Diego-based artificial intelligence and data science company that helps lenders predict the trustworthiness of loan application information, published research detailing increased levels of attempted loan fraud in 2020, which the company believes could continue through 2021.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20210415005688/en/

US Auto Loan Fraud Reaches $7.3 Billion in 2020 (Graphic: Business Wire)

The company’s Auto Fraud Report is the auto finance industry’s most comprehensive annual assessment of application fraud risk. The 2020 edition includes unique insights about income and employment misrepresentation, identity fraud, and collateral fraud for US auto lenders, as well as the impacts of the pandemic on this important sector of the economy.

“2020 was a pivotal year for fraud risk, with auto loan fraud reaching $7.3 billion of originations,” said Frank McKenna, Chief Fraud Strategist for Point Predictive. “The pandemic heightened fear and anxiety and likely made consumers more vulnerable to scams and frauds. The ensuing economic turmoil caused an immediate and dramatic rise in unemployment, increasing some people’s willingness to engage in loan fraud. Furthermore, a flood of stimulus money and generous lender forbearance programs simultaneously increased the level of fraud while delaying lenders’ ability to recognize it.”

Many lenders have praised Point Predictive’s research due to the breadth, detail, and scope of the analysis. This year’s analysis drew from the Point Predictive anti-fraud Consortium dataset, a secure and private data science collaboration among dozens of US lenders. The Consortium now includes over 94 million loan applications containing 85 individual fields of data on each application. Every month, activity from 45,000 dealerships contributes to a view of vehicle financing that spans nearly all 157,000 US auto dealers. This data set tracks over $2.7 billion in known early payment default and the company’s machine learning techniques have generated more than 10 billion risk attributes, offering unparalleled insight into mostly hidden risk trends and the ability to predict more fraud than ever before.

“Consortium data is deeper and more predictive of risk than any credit bureau or public records source,” said McKenna. He continued, “This vast and deeply-specific data on each loan application gave us incredible clarity into fraud risk that lenders are exposed to. And one thing is for sure: the risk of fraud to auto lenders rose dramatically as the pandemic unfolded.”

One of the most significant trends addressed by the analysis was the marked uptick in income and employment misrepresentation. As the lockdowns began, Consortium members were suddenly impacted by a 100% year-over-year increase of falsified income and employment claims on auto loan applications, a level of risk which continued throughout the year. Detected among the trend was the use of over 300 new, but bogus employers each month, used by applicants to fraudulently convince lenders of steady sources of income.

Completing a complex risk picture for fraud managers, the report notes that scams like synthetic identity creation, credit washing, and even lawful impacts of credit repair efforts complicate efforts by lenders to guard against fraud in order to more quickly serve trustworthy borrowers.

“As a lender, you have to keep your guard up at all times. No assumptions can be made about any loan application until every single one clears a satisfactory fraud review,” said Steve Christensen, Executive Vice President of Elite Acceptance Corp. “The analysis and outlook from Point Predictive is essential reading in order to be prepared. For Elite Acceptance, the crucial trends to get ahead of are the dealer implications, such as a sale price inflation of over 10% on the top 10 models,” said Christensen. He concluded, “I credit Point Predictive for exposing the truth behind what is presented to lenders by dealers and borrowers.”

Additionally, the analysis of auto loan fraud in 2020 covers other concerning trends, including clusters of fraud in certain states and metropolitan statistical areas (MSAs), new tactics used by self-employed borrowers, patterns of suspicious and ambiguous naming conventions for fake employers, synthetic identity centers, Social Security number manipulation tactics, vehicles subjected to inflated pricing, and the systematic disputing of multiple negative tradelines on a credit report in order to make the borrower appear to be more creditworthy. Power booking is also on the rise, wherein dealers inflate sale prices and falsify down payments to increase the chances of loan approval.

The Auto Fraud Report concludes with recommendations from Point Predictive’s fraud experts for staying ahead of fraud in 2021. Tim Grace, Chairman and CEO of Point Predictive, encourages lenders to bolster fraud defenses and staff. “In times of crisis, there is often a need to reduce costs to stay profitable amidst decreasing volumes. But this is a mistake. The rate of fraud and risk will increase over the next 18 months, making fraud prevention and staffing one of the most important investments you can make in maintaining the health of your portfolio. Resist the urge to cut costs where it matters most.”

Auto, mortgage, and student lenders who are interested in receiving a copy of Point Predictive’s 2020 Annual Auto Fraud Report should contact [email protected].

About Point Predictive Inc.

Point Predictive enables lenders to fund more loans simply with a unique combination of Artificial and Natural Intelligence™ (Ai+Ni™) to power machine learning technology solutions. Point Predictive helps automotive, mortgage, retail and personal loan finance companies to identify the consumer applications with truthful and reliable information without the intense interrogation and verification of data caused by lower tech solutions currently in use. Highly regarded as the most trusted fraud and misrepresentation analytic solution providers, Point Predictive has transformed that trust to enable lenders to fund more loans to more consumers simply. Point Predictive uses big data powerfully orchestrated from millions of examples of true and falsified loan applications, billions of derived proprietary data elements, and scientifically selected third-party data sources to build powerful machine learning models with the added natural intelligence of human experience.

Located in San Diego, California, more information about Point Predictive can be found at www.PointPredictive.com.

View source version on businesswire.com:https://www.businesswire.com/news/home/20210415005688/en/

CONTACT: Dennis Behrman

VP of Marketing & Growth, Point Predictive

858-227-6644

[email protected]

KEYWORD: UNITED STATES NORTH AMERICA CALIFORNIA

INDUSTRY KEYWORD: TECHNOLOGY FINANCE AUTOMOTIVE GENERAL AUTOMOTIVE SECURITY BANKING PROFESSIONAL SERVICES SOFTWARE DATA MANAGEMENT

SOURCE: Point Predictive Inc.

Copyright Business Wire 2021.

PUB: 04/15/2021 10:57 AM/DISC: 04/15/2021 10:57 AM

http://www.businesswire.com/news/home/20210415005688/en



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Can You Buy Crypto With a Credit Card? – MoneyWise.com

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Can You Buy Crypto With a Credit Card?  MoneyWise.com

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Ask Gareth Shaw: ‘I’m scared I’ll get rejected for credit card because of mistakes I made in the past’

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‘Credit-builder’ cards can be used to demonstrate that you are a responsible borrower

Answer: Well done to you for getting back on your financial feet. Climbing your way out of debt is a marathon – it takes sacrifices and planning, so you’ve taken some really important steps in your financial journey.

The good news is that the negative information – the records of missed payments, defaults and even county court judgments – won’t stay on your credit report forever. Details of your late payments can be viewed for six years after they were settled. Searches and rejections of credit typically disappear after 12 months. So this dark cloud won’t hang over you forever.

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Before we talk about applying for credit again, there are steps you can take to improve your credit health. Firstly, you should review your credit reports and make sure there are no errors that could be holding your score back. You can get your credit report for free from each of the three credit reference agencies – TransUnion, Equifax and Experian – and can ask them to investigate errors. Lenders and credit reference agencies have 28 days to respond to disputes.

Registering to vote by getting on the electoral roll can boost your credit score, while you may even be able to add the record of your monthly rent payments to your credit score by asking your landlord to report rental payments to firms like The Rental Exchange, CreditLadder or Canopy.

Experian has launched a new tool that allows you to share information about your banking habits and subscriptions – information which is not traditionally factored into your credit score – in order to increase your score. That means paying your council tax or even paying for Netflix and Amazon Prime could give your score a boost.

If you still want a credit card, your choice is likely to be limited to a particular set of cards designed for people with poor or ‘thin’ credit histories. These are known as ‘credit-builder’ cards, or sometimes ‘bad credit’ cards.

These cards have higher interest rates compared to the most competitive products in the market, to reflect the risk that a lender is taking in by providing credit to someone with a history of repayment problems. You can expect to find an APR of around 29 per cent. They also have lower limits, so when you apply, don’t be surprised to find that the lender will initially only give you £250 to £500.

However, these cards can be used to demonstrate that you are a responsible borrower, can repay on time and stay within your credit limit.

Here’s the golden rule – avoid borrowing money on these credit cards. Purchases tend to be interest-free for 55 days, after which you’ll be charged a considerable amount of interest. So limit the use of these cards, and when you do use them, try to pay them off in full. If you don’t pay on time, you will lose any promotional offer, be hit with a fee and your provider will report your missed payment to the credit reference agencies, reversing any good work you might have done. Set up a direct debit to ensure that your minimum payments are met in advance of the credit card payment date.

When you apply, use an eligibility checker first. This will ask for some basic information and carry out a ‘soft search’ on your credit file, returning a list of cards and the probability of your application being successful. That would be a helpful guide to find a card that is likely to accept you.

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Credit Repair Services Market to Scale New Heights as Market

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Credit Repair Services

Credit Repair Services

A Latest intelligence report published by AMA Research with title “Credit Repair Services Market Outlook to 2026.A detailed study accumulated to offer Latest insights about acute features of the Global Credit Repair Services market. This report provides a detailed overview of key factors in the Credit Repair Services Market and factors such as driver, restraint, past and current trends, regulatory scenarios and technology development. A thorough analysis of these factors including economic slowdown, local & global reforms and COVID-19 Impact has been conducted to determine future growth prospects in the global market.

Free Sample Report + All Related Graphs & Charts @: https://www.advancemarketanalytics.com/sample-report/9361-global-credit-repair-services-market

Definition:
Credit repair services is known as a kind of service to remove negative items from credit reports like late payments, foreclosures, liens, repossessions, and more. Credit repair normally involves fixing the bad credit in any of the way, shape or form. Credit repair is the best option if anyone is thinking about applying for finance in near future. This can make it much easier to attain the loan at the wanted rate. This will also increase the chances of being approved in the first place. The market of Credit Repair Services is mainly driven due to the escalating number of small size and large size organizations, rising focus on the safety & security related to financial documents of the company and strict norms and policies framed by government considering disclosure of the taxation and financial documents considering to the global scenario. Also, Lack of Skilled Professional is hampering the total market growth. Some of the Mandatory Norms & Policies framed by Governments related to the disclosure of Taxation and Financial Documents are creating lucrative growth opportunities for market growth.

Major Players in This Report Include,
Lexington Law (United States),CreditRepair.com (United States),Sky Blue Credit Repair (United States),The Credit People (United States),Experian PLC (Ireland),Ovation (United States),MyCreditGroup (United States),Veracity Credit Consultants (United States),MSI Credit Solutions (United States),The Credit Pros (United States),Pyramid Credit Repair (United States)

Keep yourself up-to-date with latest market trends and changing dynamics due to COVID Impact and Economic Slowdown globally. Maintain a competitive edge by sizing up with available business opportunity in Credit Repair Services Market various segments and emerging territory.

Market Trends:
• Personalization in the Credit Repair Services

Market Drivers:
• A Growing Number of Large Size and Small Size Organizations
• Rising Focus on Safety & Security-Related To Company’s Financial Documents

Market Opportunities:
• Mandatory Norms & Policies Related To Disclosure of Taxation and Financial Documents Creating Lucrative Growth Opportunities

The Global Credit Repair Services Market segments and Market Data Break Down are illuminated below:
by Application (Private, Enterprise), Service Mode (Online, Offline)

Credit Repair Services the manufacturing cost structure analysis of the market is based on the core chain structure, engineering process, raw materials and suppliers. The manufacturing plant has been developed for market needs and new technology development. In addition, Credit Repair Services Market attractiveness according to country, end-user, and other measures is also provided, permitting the reader to gauge the most useful or commercial areas for investments. The study also provides special chapter designed (qualitative) to highlights issues faced by industry players in their production cycle and supply chain. However overall estimates and sizing, various tables and graphs presented in the study gives and impression how big is the impact of PANDEMIC.

Enquire for customization in Report @: https://www.advancemarketanalytics.com/enquiry-before-buy/9361-global-credit-repair-services-market

Geographically World Credit Repair Services markets can be classified as North America, Europe, Asia Pacific (APAC), Middle East and Africa and Latin America. North America has gained a leading position in the global market and is expected to remain in place for years to come. The growing demand for Credit Repair Services markets will drive growth in the North American market over the next few years.

Report Highlights:
• Comprehensive overview of parent market& substitute market
• Changing market dynamics in the industry (COVID & Economic Impact Analysis)
• In-depth market segmentation (Trends, Growth with Historical & Forecast Analysis)
• Recent industry trends and development activity
• Competitive landscape (Heat Map Analysis for Emerging Players & Market Share Analysis for Major Players along with detailed Profiles)

Strategic Points Covered in Table of Content of Global Credit Repair Services Market:
• Chapter 1 – Executive Summary
• Chapter 2 – COVID-19 Impacts on Credit Repair Services Market
• Chapter 3 – Credit Repair Services Market – Type Analysis
• Chapter 4 – Credit Repair Services Market – Application/End-User Analysis
• Chapter 5 – Credit Repair Services Market – Geographical Analysis
• Chapter 6 – Credit Repair Services Market – Competitive Analysis
• Chapter 7 – Company Profiles
• Chapter 8 – Credit Repair Services Industry Analysis
• Chapter 9 – Industrial Chain, Downstream Buyers, and Sourcing Strategy
• Chapter 10 – Marketing Strategy Analysis
• Chapter 11 – Report Conclusion and Key Insights
• Chapter 12 – Research Approach and Methodology

Buy this research @ https://www.advancemarketanalytics.com/reports/9361-global-credit-repair-services-market

Key questions answered
• Who are the Leading key players and what are their Key Business plans in the Credit Repair Services market?
• What are the key concerns of the five forces analysis of the Credit Repair Services market?
• What are different prospects and threats faced by the dealers in the Credit Repair Services market?
• What possible measures players are taking to overcome and stabilize the situation?

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Asia.

Craig Francis (PR & Marketing Manager)
AMA Research & Media LLP
Unit No. 429, Parsonage Road Edison, NJ
New Jersey USA – 08837
Phone: +1 (206) 317 1218
[email protected]

About Author:
Advance Market Analytics is Global leaders of Market Research Industry provides the quantified B2B research to Fortune 500 companies on high growth emerging opportunities which will impact more than 80% of worldwide companies’ revenues.
Our Analyst is tracking high growth study with detailed statistical and in-depth analysis of market trends & dynamics that provide a complete overview of the industry. We follow an extensive research methodology coupled with critical insights related industry factors and market forces to generate the best value for our clients. We Provides reliable primary and secondary data sources, our analysts and consultants derive informative and usable data suited for our clients business needs. The research study enables clients to meet varied market objectives a from global footprint expansion to supply chain optimization and from competitor profiling to M&As.

This release was published on openPR.

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