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Lending Software Development Services
ScienceSoft applies 19 years of experience in engineering software for financial services to help lending companies build reliable loan management solutions.
Lending software development services are a way for credit providers to get efficient and secure software tailored to their specific workflows across loan management, risk assessment, debt collection, customer service, and more.
ScienceSoft offers full-cycle commercial and consumer lending software engineering services to create robust solutions that help innovate and improve lending processes.
Lending Software Use Cases ScienceSoft Specializes In
Consumer lending
- Instant processing of consumer loan applications.
- Fast, analytics-based loan decision-making.
- Facilitated payment collection and debt recovery enabled by robust process automation.
- Convenient omnichannel communications with borrowers.
Commercial lending
- Streamlined origination and servicing of various business loans, including syndicated and multi-entity loans.
- Intelligent assessment of business credit risks.
- Full traceability of commercial lending operations.
- Simplified compliance with the required regulations.
- Fast generation, secure sharing, and scalable storage of large-volume mortgage documents.
- Automated calculation of mortgage-associated fees.
- Streamlined collateral management, mortgage close, servicing, and foreclosure processes.
- Automated mortgage loan trading.
Alternative lending
- Highly accessible and cost-effective peer-to-peer loans with no middleman services.
- Fast access to funds for borrowers and attractive investment opportunities for lenders.
- Automated microlending and microfinance.
- Support for DeFi loans to reach the global audience, ensure lending transparency, and simplify repayments.
Explore ScienceSoft's Featured Success Stories
Lending Solutions ScienceSoft Delivers
We provide full-cycle consulting and engineering services to help companies build single-purpose lending solutions or implement full-featured loan management systems to drive high ROI across the entire lending process.
- Automated borrower onboarding and pre-qualification.
- RPA- and AI-based processing of borrowers’ paper and digital documents.
- AI-powered assessment of borrower credit risks.
- Configurable loan terms (max amount, duration, interest rate, collateral type, etc.) for various borrower segments.
- Automated loan limit and collateral management workflows.
- Intelligent recommendations on loan approval or decline.
- Automated generation of loan agreements.
- E-signing of the lending documents.
- Automated transfer of the approved funds to borrowers.
Value: over 2–25x faster loan origination, 15–20% increase in the loan origination volume with no additional staff, 20% decrease in operational costs, improved accuracy of loan-related decisions.
- Template-based creation of loan amortization schedules.
- Automated calculation of monthly principal and interest amounts and other loan-associated fees.
- Scheduled generation of invoices on due loan repayments and sending them to borrowers.
- Real-time tracking of loan repayments by status (received, due, past due).
- AI-supported assessment of loan portfolio risks.
- Automated workflows for loan extension, restructuring, refactoring, etc., upon the request from a borrower.
- Automated loan reporting to the required regulators in the compliant format (e.g., Metro2 format).
Value: Up to 300% increase in the productivity of loan servicing teams, 30%+ shorter loan cycle, minimized credit risks, compliant loan reporting.
- AI-based suggestions on the optimal collection strategies for particular debtors and debtor segments.
- Scheduled and ad hoc omnichannel reminders on due loan repayments.
- Rule-based assignment of debt collection tasks to the debt recovery team members.
- Monitoring the debt collectors’ performance and debt recovery progress in real time.
- Forecasting cash inflow and delinquency rate based on the analysis of borrower performance.
- (for mortgage providers) Automated forbearance and foreclosure workflows in case of a mortgagee’s inability to repay debts for a particular period.
Value: Up to 65% reduction in debt collection costs, 8x faster debt collection processes, 40%+ cut in DSO, 20% decrease in bad debt.
- Scenario modeling and what-if analysis for various loan pricing strategies.
- Real-time monitoring of competitors’ loan prices across relevant public sources.
- AI-powered analysis and optimization of loan prices.
- Automated calculation of prices for various types of loans based on a user-defined pricing strategy.
- User-defined rules for loan price segmentation.
- Scheduled and ad hoc updates of loan prices across the customer-facing platforms.
Value: 1–8% increase in profitability, more than 3x faster loan repricing, enhanced visibility of the loan price performance.
- Criteria-based search of the best-fitting loan offerings for borrowers and investment opportunities for lenders.
- A comprehensive loan calculator for borrowers.
- Automated loan underwriting and servicing processes.
- Instant processing of loan-related payments, including payments for the platform services.
- End-to-end traceability of P2P lending activities.
- Trend-based forecasting of P2P lending demand and financial gains from the platform operations.
- (for blockchain-based P2P lending software) Immutable record and full traceability of lending transactions.
Value: An opportunity for P2P lending companies to achieve prompt and high ROI with a highly demanded lending solution.
- Automated generation and submission of loan applications.
- Automated loan repayments via the selected payment method.
- End-to-end audit trail of the user account activities.
- Geography-based KYC/AML verification for the app users.
- Multi-factor authentication, including biometric authentication (e.g., facial or fingerprint recognition).
- AI-powered fraud detection.
- Instant messaging.
- An AI-powered chatbot to help users solve technical, transactional, and security issues.
Value: Increased customer satisfaction and the opportunity to expand the client base, which results in higher financial gains from lending activities.
AI-powered lending software proved to bring up to 70% reduction in operational expenses, an 80%+ improvement in fraud detection and credit risk assessment accuracy, and up to 35% increase in loan origination volume. To help our clients reap these amazing benefits, we augment lending solutions with advanced analytics, AI-based assistants, natural language processing, generative AI, image analysis capabilities, and other AI-supported technologies.
Lending Software Integrations ScienceSoft Helps Establish
Corporate systems
- CRM.
- Accounting software.
- Customer-facing apps (e.g., a customer portal, a company website).
- A BI solution.
- Case-specific systems, such as core banking software.
External data sources
- Credit rating platforms of the selected credit bureaus (e.g., Experian, Equifax, or TransUnion for the US).
- Bank accounts.
- Financial data marketplaces.
Third-party services
- Payment gateways of banks or independent payment service providers (e.g., PayPal, Stripe).
- Messaging services.
- Authentication services.
- Reporting and productivity tools.
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NB! We can also develop ready-to-use APIs to enable seamless integration of lending software products with the internal systems of their end users. |
Why Choose ScienceSoft as Your Technology Partner
- Since 2005 in engineering software for the financial services industry.
- Practice-proven expertise in building lending software with complex financial logic that smoothly handles the most complicated and specific lending operations and ensures 100% accuracy of loan-related calculations.
- IT consultants and project managers with experience in long-term digitalization projects for Fortune 500 companies.
- In-house compliance experts with 5–20 years of experience to guarantee lending software compliance with CCPA, CECL, CCAR, FCRA, FCBA, ECOA, FDCPA, GDPR, other required global and region-specific regulations.
- Proficiency in advanced techs: AI, blockchain, big data.
- Since 2003 in cybersecurity to ensure world-class protection of lending software.
- Quality-first approach based on a mature ISO 9001-certified quality management system.
- Robust security management supported by ISO 27001 certification.
What makes ScienceSoft different
We achieve project success no matter what
ScienceSoft does not pass mere project administration off as project management, which, unfortunately, often happens on the market. We practice real project management, achieving project success for our clients no matter what.
ScienceSoft USA Corporation Is a 3-Year Champion in the Financial Times Rating
Three years in a row (2022–2024), the Financial Times has included ScienceSoft USA Corporation in the list of 500 fastest-growing American companies. This is the result of our dedication to driving project success despite any constraints and disruptions.
Our Project Management Practices to Drive Lending Software Development Success
With 60+ certified PMs and project management practices shaped through 35 years in software engineering, ScienceSoft ensures achieving lending project goals despite time and budget constraints and changing requirements. You’re welcome to check the descriptions of our practices backed by examples from our success stories.
If you want to know how our approach will work for your particular case, don’t hesitate to turn to our consultants for the required information.
Project planning
Explore our approach to requirements-based scope mapping, creating a detailed WBS, and planning collaboration flow. We also share our practices to arrange an optimal development team and pick the best-fitting talents.
Get an idea of the variables we factor in to accurately estimate project timelines and costs. The page features our sample cost estimates using various techniques and outlines ScienceSoft’s cost optimization best practices.
Collaborative controls
Check our criteria to measure development success and learn how we organize transparent progress controls in Agile projects. You can also see our sample project health and software quality reports.
Discover the main stages and principles of our structured change request management process, which aims to avoid artificial scope limitation, ensure high-value changes, and prevent scope creep.
Starting from project inception and throughout the entire development journey, we constantly recognize and monitor potential risks. Visit the page to learn our specific risk control and mitigation procedures at each SDLC stage.
Understand ScienceSoft’s intuitive knowledge management process and check the techniques and tools our teams employ for consistent knowledge sharing. You can also explore examples of software documents our clients receive.
Our Clients Share Their Experience with ScienceSoft
What always set ScienceSoft apart is their resistance to mediocre results and their proactive advice on meaningful improvements. Their early suggestions helped improve software usability and avoid costly changes.
When challenges arose, ScienceSoft problem-solved and elicited maximum potential with every system improvement. Ultimately, they took the project to the heights I never expected it to reach.
We are impressed with ScienceSoft’s pragmatic project management, quality-first mindset, and transparent communication. They are strongly motivated to deliver maximum value with their services.
Lending Software Development Process
Lending software development covers a range of important steps aimed to establish smooth and predictable project flow, ensure excellent software quality, and prevent any potential risks.
At ScienceSoft, lending app development process usually looks as follows:
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In-depth analysis of a customer's business and end user needs, eliciting requirements for lending software (incl. regulatory compliance requirements).
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Project planning: deliverables, success measures, scope of work, team composition, cost and time estimates, risk management procedures, etc.
4
Lending software development: setting up and configuring IT automation environment, back-end and API coding, creating role-specific user interfaces, implementing data storage.
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(optional) Designing, training, and tuning ML models for lending data analytics.
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Quality assurance in parallel with coding.
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Establishing integrations with the required internal and third-party systems, running integration testing.
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Configuring lending solution's infrastructure, setting data backup and recovery procedures, establishing app and network security mechanisms, and deploying software to the production environment.
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Knowledge transfer: delivering comprehensive lending software documentation, drawing user training materials, conducting user training in a preferred format.
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(optional) Continuous support and evolution of lending software.
Get a Cost Estimate for Your Lending Software
Want to know how much your custom lending solution will cost? Please answer a few questions about your needs to help our experts calculate your quote quicker.
Thank you for your request!
We will analyze your case and get back to you within a business day to share a ballpark estimate.
In the meantime, would you like to learn more about ScienceSoft?
- Project success no matter what: learn how we make good on our mission.
- 19 years in financial IT services: check what we do.
- 4,000 successful projects: explore our portfolio.
- 1,300+ incredible clients: read what they say.
Technologies & Tools We Use
In our projects, we rely on the following reliable techs and tools to create top-quality consumer and commercial lending software.
Benefits of Lending Software Engineering with ScienceSoft
Optimal cooperation model
You can choose the cooperation model that suits your needs best: full outsourcing of lending software development, a dedicated team to take over a part of your development project, or team augmentation with our best talents.
Software longevity
We rely on flexible architectures (SOA, microservices) and prioritize maintainable techs that enable easy lending software evolution and provide scalability to process growing transaction volumes. You receive an adaptable, future-ready solution your business won’t outgrow.
High ROI with advanced techs
Having proficiency in cloud, AI, big data, blockchain, we are eager to share our expertise and assist in selecting and implementing cutting-edge technologies that can deliver additional value across your unique lending management processes.
Prompt development
We can provide an MVP of lending software in 3+ months and consistently grow it to a fully featured solution with major releases every 2–4 weeks. We guarantee a quick project start (1–2 weeks) and apply our established Agile and DevOps practices to ensure fast implementation of your software.
Focus on security
We implement intelligent fraud detection algorithms, multi-factor authentication, authorization controls for APIs, and other powerful cybersecurity mechanisms to ensure the protection of your lending solution and the sensitive data it stores.
Frequently Asked Questions about Lending Software Development
What loan types does lending software help automate?
Custom lending software helps automate all required types of commercial and consumer loans. Some examples are:
- Commercial loans: business lines of credit, term loans, invoice financing and factoring, merchant cash advances, SBA loans (for the US), and more.
- Personal loans: personal lines of credit, unsecured and secured loans for personal needs (e.g., education), Buy Now Pay Later loans, and more.
- Business and consumer mortgage loans.
- P2P crypto loans.
What is the difference between commercial lending and corporate lending?
Commercial lending refers to granting loans to businesses of various sizes and industries to support their operational needs and capital expenditures. Corporate lending is a subset of commercial lending that focuses on providing credit facilities to large enterprises. It typically deals with financing large-scale projects and involves large loan amounts and complex credit agreements.
What impacts lending software development cost and timelines?
Major factors that affect the budget and duration of lending software engineering are:
- The chosen sourcing model (full outsourcing, partial outsourcing, or all in-house).
- The scope and complexity of software features, including AI-powered functionality.
- Non-functional requirements: performance, scalability, availability, security, regulatory compliance.
- The number and complexity of integrations.
- Role-based requirements for UX and UI.
Use our online calculator to estimate the cost for your case.
What is required from a client’s side?
The short answer is, your willingness to communicate openly and share your challenges and needs. We offer tailored collaboration models for various stages of a lending software development life cycle and welcome individually-paced communication forms to meet our clients’ individual expectations. Visit our dedicated page to learn about ScienceSoft’s mature approach to collaboration in IT projects.
Choose Your Service Option
ScienceSoft’s lending management software engineering services are customized to your business needs and can include:
Consulting on lending software implementation
We introduce the optimal feature set, architecture, and toolkit for your digital lending software and advise on the project cost optimization opportunities. You also get consulting on security and compliance and a detailed implementation plan to minimize project risks.
Lending product consulting
We define a unique selling proposition for your lending product and deliver a clear solution concept. You get convenient UX and sleek UI design to ensure high product value for end users and an interactive prototype to quickly test technical feasibility and usability of your lending software.
End-to-end lending software development
We promptly design and engineer your lending software, run the necessary quality assurance procedures, and provide after-launch support. You benefit from the software's smooth integration with the required systems. Also, we can conduct user training in a convenient format.
Lending software modernization
We advance the functional and non-functional capabilities of your existing lending solution to help you generate more value with a legacy tool. Compared to software engineering from scratch, you get a modern lending solution faster and at a lower cost.