Why We Succeed?
Why We Succeed?
As a modern company we very much rely on strong information technologies which works in close synergy with our human resources.
Data-driven decision-making is what ensures our success. We base our decisions on advanced credit scoring models. By deploying state-of-the-art models we are able to gather data quickly and effectively.
Our corporate values, ambitions and our good reputation have attracted the greatest minds from the industry and led great people from other areas of the economy to join our team.
Risk Technology
As a modern company we very much rely on strong information technologies which works in close synergy with our human resources.
Data Science
Data-driven decision-making is what ensures our success. We base our decisions on advanced credit scoring models. By deploying state-of-the-art models we are able to gather data quickly and effectively.
People
Our corporate values, ambitions and our good reputation have attracted the greatest minds from the industry and led great people from other areas of the economy to join our team.
Solutions
Credit Scoring
Our Credit Scoring service is the cornerstone of financial decision-making. By leveraging advanced analytics and the latest in predictive modeling, we provide a comprehensive score that reflects the nuanced reality of an individual’s creditworthiness. Our models are continuously refined to interpret vast of your available data points, ensuring that lenders and borrowers alike can rely on a score that encapsulates fiscal responsibility and potential risk, paving the way for sound financial futures.
Bank Statement Transactional
Data Risk Models
Tailored Fraud
Prevention Models
Tailored Limit
Assignment Models
Support with Other Lending
Service Analysis
Credit Portfolio
Analysis
Credit Portfolio
Monitoring
Credit Scoring
Our Credit Scoring service is the cornerstone of financial decision-making. By leveraging advanced analytics and the latest in predictive modeling, we provide a comprehensive score that reflects the nuanced reality of an individual’s creditworthiness. Our models are continuously refined to interpret vast of your available data points, ensuring that lenders and borrowers alike can rely on a score that encapsulates fiscal responsibility and potential risk, paving the way for sound financial futures.
Bank Statement Transactional
Data Risk Models
Tailored Fraud
Prevention Models
Tailored Limit
Assignment Models
Support with Other
Lending Service Analysis
Credit Portfolio
Analysis
Credit Portfolio
Monitoring
Use cases
A Scandinavian lending
company succeeds after use
of our services
When Company X, a forward-thinking lending entity, sought to expand its market share without incurring additional risk, they turned to our sophisticated data science models. Our collaborative endeavor began with an overhaul of their credit scoring system, utilizing bespoke analytics that tapped into a wellspring of historical and transactional data. The results were nothing short of transformative. The precision of our scoring models unearthed creditworthy individuals who had previously been overlooked, leading to an 8% surge in loan approval rates. This uptick was not just a quantitative triumph but also a qualitative success story of data science’s predictive power enhancing financial inclusivity.
The adoption of our Credit risk Models by Company X marked a turning point in their risk management strategy. By integrating these models, which applied advanced machine learning techniques to identify and predict customer behavior, Company X saw a significant reduction in its non-performing loan (NPL) level, dropping by an impressive 15%. This decrease not only protected the bottom line but also instilled a newfound confidence among their clientele, further solidifying their position in the competitive lending market.
Use cases
A Scandinavian lending
company succeeds after use
of our services
When Company X, a forward-thinking lending entity, sought to expand its market share without incurring additional risk, they turned to our sophisticated data science models. Our collaborative endeavor began with an overhaul of their credit scoring system, utilizing bespoke analytics that tapped into a wellspring of historical and transactional data. The results were nothing short of transformative. The precision of our scoring models unearthed creditworthy individuals who had previously been overlooked, leading to an 8% surge in loan approval rates. This uptick was not just a quantitative triumph but also a qualitative success story of data science’s predictive power enhancing financial inclusivity.
The adoption of our Credit risk Models by Company X marked a turning point in their risk management strategy. By integrating these models, which applied advanced machine learning techniques to identify and predict customer behavior, Company X saw a significant reduction in its non-performing loan (NPL) level, dropping by an impressive 15%. This decrease not only protected the bottom line but also instilled a newfound confidence among their clientele, further solidifying their position in the competitive lending market.
Customer feedback
Girts Rudzitis
Thanks to Lendiscore, we are able to assess our clients’ solvency, analyze the risk, and offer them the smallest possible initial instalment. We appreciate that by providing Lendiscore with anonymized information about our clients, we receive a detailed scoring overview within just a few seconds. Therefore, we can provide our clients with swift service, allowing them to seamlessly continue with their daily agenda afterward.
Liga Emma Gulbe
As the founder of a new fintech company in Spain, I was faced with the immense challenge of establishing a credible and effective operation in a highly competitive market. Consultations with Lendiscore team on how to best utilise data transformed our approach, enabling us to quickly develop a sophisticated transactional data model. This model has been pivotal in accurately assessing credit risk and tailoring our products to meet the unique needs of the market. The insights gained from this partnership have not only accelerated our business setup but also positioned us strongly for future growth, thanks to a more informed and data-driven strategy.
Felipe Sanhueza
Customer
feedback
Collaborating with Lendiscore has enabled us to develop a successful business strategy, as they provide us with advanced customer analysis based on various factors, including region, credit history, income, financial habits, and more. As our business network spans clients in diverse areas, Lendiscore’s analysis facilitates an understanding of various customer behaviours.
Girts Rudzitis
Thanks to Lendiscore, we are able to assess our clients’ solvency, analyze the risk, and offer them the smallest possible initial instalment. We appreciate that by providing Lendiscore with anonymized information about our clients, we receive a detailed scoring overview within just a few seconds. Therefore, we can provide our clients with swift service, allowing them to seamlessly continue with their daily agenda afterward.
Liga Emma Gulbe
As the founder of a new fintech company in Spain, I was faced with the immense challenge of establishing a credible and effective operation in a highly competitive market. Consultations with Lendiscore team on how to best utilise data transformed our approach, enabling us to quickly develop a sophisticated transactional data model. This model has been pivotal in accurately assessing credit risk and tailoring our products to meet the unique needs of the market. The insights gained from this partnership have not only accelerated our business setup but also positioned us strongly for future growth, thanks to a more informed and data-driven strategy.
Felipe Sanhueza
We know how to work with data from
such data providers
We know how to work with data from such data providers
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Collaborating with Lendiscore has enabled us to develop a successful business strategy, as they provide us with advanced customer analysis based on various factors, including region, credit history, income, financial habits, and more. As our business network spans clients in diverse areas, Lendiscore’s analysis facilitates an understanding of various customer behaviours.