Money Lending App Development
A Comprehensive Guide
ScienceSoft combines 24 years of expertise in web and 18 years – in mobile development with 18-year practice in creating financial solutions to introduce robust money lending applications.
Money Lending Application Development: Summary
Money lending app development helps lending companies provide their customers with a secure, fast, and convenient way to access the needed funds and repay the loan. Custom lending apps support all required loan types, languages, currencies, and payment methods. They offer a unique visual style, seamlessly integrate with the required systems, and can be easily upgraded with new features.
- Key project steps: Market and TA analysis, application design, tech stack selection, project planning, development, quality assurance, deployment, integration, support and evolution of the money lending app.
- Timelines: 6–11 months on average.
- Cost: $120K–$400K+, depending on the solution’s complexity.
- Team: a project manager, a business analyst, a solution architect, a UX/UI designer, a DevOps engineer, a front-end developer, a back-end developer, a QA engineer.
Having 750+ experienced IT talents on board, ScienceSoft offers various cooperation models and can quickly provide all necessary competencies to cover the end-to-end development of your lending application.
Solutions that Integrate with a Money Lending App
To enable seamless loan origination and funds movement between the involved parties, a money lending app needs to integrate with a loan processing system of a lending company. Visit ScienceSoft's dedicated pages to learn about the capabilities and specifics of loan processing solutions a customer-facing loan app may connect to:
An all-in-one solution used by banks, credit unions, and independent lending services providers to manage a full scope of lending activities.
Software that automates the processing of mortgages and facilitates interactions between the parties involved in a mortgage deal.
A solution aimed to directly connect private lenders and borrowers without the involvement of financial institutions.
A blockchain-based market platform that enables seamless origination and servicing of cryptocurrency loans.
A Roadmap to Money Lending Application Development
Below, ScienceSoft describes the main steps we take to introduce competitive lending applications tailored to the clients’ unique requirements. Throughout the app delivery process, we maintain transparent, KPI-driven collaboration and advise our customers on cost optimization opportunities.
Our consultants thoroughly explore the important aspects that define functional and non-functional requirements for the app and lay the basis for creating a unique selling proposition. Particularly, we analyze:
- The client’s business specifics and the lending app vision.
- The app’s target audience, its pains, needs, and behavioral patterns.
- Key market players, their weaknesses and strengths.
- Recent market trends: popular business models, innovative technologies, UX and UI perks, etc.
- Global and local compliance requirements for the target markets where the client is planning to operate, e.g., KYC/AML requirements, PCI DSS standards, CCPA regulations for the US, GDPR for the EU.
ScienceSoft
- Defining the type of a money lending app (web, mobile, or both).
- (for mobile) Deciding on the approach to app development – native or cross-platform.
- Suggesting an optimal feature set for the application, including value-adding functions powered with advanced techs (e.g., AI, OCR, big data, blockchain).
- Prioritizing features based on their importance for the target audience and potential to drive a fast payback.
- Designing the scalable and sustainable architecture of the application.
- UX and UI design for the required user roles (borrowers, lenders, app admins, etc.), which covers UX research and prototyping, usability testing, and creating UI mockups.
- Introducing a plan of integrations with the required internal and third-party systems (e.g., loan processing software, accounting software, payment gateways, credit rating platforms, financial data marketplaces, etc.).
Tastes differ. And ScienceSoft always cares to deliver convenient UX and sleek UI to make borrower and lender journeys engaging and seamless. This is why our apps stand out among other market-available solutions, build customer trust, and drive a high retention rate.
ScienceSoft
We compare possible techs and tools in the context of the client's priorities (e.g., fast development, minimized project cost, etc.) and define an optimal tech stack with the client’s goals in mind.
To optimize project duration and costs, we rely on proven development frameworks, cross-platform mobile techs, and employ ready-to-use components (building blocks for the app logic, open-source APIs, OOTB UI components, prebuilt deployment scripts, etc.), if applicable.
ScienceSoft
An accurate, all-encompassing plan for app development helps significantly reduce project timelines and prevent operational and financial risks. A typical project plan by ScienceSoft comprises:
- Objectives, KPIs, and milestones for the project.
- Project deliverables, duration, and budget.
- Team composition and collaboration workflows.
- A strategy and a plan to mitigate possible project risks.
- TCO and ROI estimations for the lending app.
ScienceSoft
The development of a lending application with ScienceSoft usually includes the following stages:
- Establishing automation environment: configuring CI/CD pipelines, setting up container orchestration tools, introducing test automation, etc.
- Coding the app’s back end and developing APIs to integrate the app with the required systems.
- Creating role-specific user interfaces.
- Quality assurance of each app component in parallel with development.
- Eliminating possible vulnerabilities and logic errors and fixing the identified code defects.
Developing and launching an MVP allows for quick and cost-effective assessment of the solution’s viability and a faster payback from the app implementation. An MVP also helps avoid excessive investments associated with the app modification, which may potentially be required upon receiving the initial feedback from the app users.
We can deliver an MVP of a custom lending app in 3–5 months and consistently grow it to the full-featured solution with major releases every 2–3 weeks.
ScienceSoft
ScienceSoft configures the lending app’s infrastructure, backup and recovery procedures and deploys the solution in the production environment. After that, we integrate the app with the client’s corporate systems and relevant third-party tools and perform integration testing to guarantee proper functioning of the integrated solution.
ScienceSoft can also assist in designing a landing page for app promotion or uploading the money lending app to the required web or mobile app stores to streamline the app release.
As a part of our deployment service, ScienceSoft’s team establishes compliance procedures to meet the required standards and regulations. We also implement robust infrastructure security tools (authorization controls for APIs, DDoS protection algorithms, firewalls, IDSs / IPSs, etc.) to protect your application from cyberattacks.
ScienceSoft
ScienceSoft offers continuous monitoring and optimization of the money lending app to ensure its stable performance, top-flight security, scalability to serve a growing number of users, and ability to provide smooth user experience. We can create and release new functionality according to a lending company’s or end users’ evolving needs.
ScienceSoft
Consulting on lending app development
We design the optimal features, architecture, UX and UI of the app to meet your business specifics and the needs of your customers. You get expert advice on security and compliance and a detailed project plan with cost and time estimates for the risk-free app launch.
End-to-end lending app implementation
We develop and release a reliable, secure, and visually appealing loan app that ensures seamless lending experience for your target audience and drives a high ROI. You benefit from the top-flight quality and short time to market for your solution.
Why develop a money lending app with ScienceSoft
- Since 1999 in web development and since 2005 in mobile development.
- Since 2005 in building solutions for banking and financial services.
- Since 2003 in cybersecurity to ensure world-class protection of lending applications.
- In-house compliance experts to guarantee lending app compliance with relevant global and country-specific regulations.
- Quick project start (1–2 weeks) and frequent releases (every 2–3 weeks).
- Well-established Lean, Agile, and DevOps cultures.
Project manager
Plans the project (deliverables, schedule, budget), coordinates the team, monitors the project progress and reports it to the client.
Business analyst
Analyzes needs and expectations of a client’s target audience and translates them into functional and non-functional requirements for the lending application.
Solution architect
Architects the app and plans integration points for its components and required systems.
UX/UI designer
Designs the user experience and role-specific user interfaces of a lending app, conducts usability testing.
DevOps engineer
Configures the DevOps automation environment for facilitated app development, integration, testing, and release.
Front-end developer
Delivers UI of a lending app and fixes defects found by the QA team.
Back-end developer
Delivers the server-side code of a lending app, integrates the solution with relevant systems, and fixes defects found by the QA team.
Quality assurance engineer
Creates and implements a test strategy, a test plan, and test cases to validate the quality of a lending app, reports testing results.
NB! Depending on the project specifics, ScienceSoft can involve additional talents, for example, blockchain developers to build a crypto lending app.
Featured Success Stories by ScienceSoft
Mobile Lending App Development for an Online Credit Services Company
ScienceSoft created a mobile application for the provider of a lending platform matching banks and borrowers. Our team opted for cross-platform development to optimize project costs and make the app available on Android and iOS. We implemented functionality for:
- Navigating the banks’ cash loans and credit cards offerings.
- Automated creation and submission of loan applications.
- Contacting customer support to clarify loan-related information, and more.
Lending App Development for a US-Based Microfinance Company
ScienceSoft designed and built a full-featured lending application for the clients of a reputable financial services company with 50+ offices across the US. Our team created convenient app’s UX and clear UI to ensure smooth lending experience for borrowers. We introduced functionality for:
- Automated creation and submission of loan applications.
- Tracking the loan approval and repayment status.
- Scheduled payment reminders.
- User authentication, and more.
ScienceSoft’s Tech Stack for Money Lending Application Development
In lending app development projects, ScienceSoft’s team usually relies on the following tools and technologies:
Programming languages
Back end
Practice
19 years
Projects
200+
Workforce
60+
Our .NET developers can build sustainable and high-performing apps up to 2x faster due to outstanding .NET proficiency and high productivity.
Practice
25 years
Projects
110+
Workforce
40+
ScienceSoft's Java developers build secure, resilient and efficient cloud-native and cloud-only software of any complexity and successfully modernize legacy software solutions.
Practice
10 years
Projects
50+
Workforce
30
ScienceSoft's Python developers and data scientists excel at building general-purpose Python apps, big data and IoT platforms, AI and ML-based apps, and BI solutions.
Practice
10 years
Workforce
100
ScienceSoft delivers cloud-native, real-time web and mobile apps, web servers, and custom APIs ~1.5–2x faster than other software developers.
Practice
16 years
Projects
170
Workforce
55
ScienceSoft's PHP developers helped to build Viber. Their recent projects: an IoT fleet management solution used by 2,000+ corporate clients and an award-winning remote patient monitoring solution.
Practice
4 years
ScienceSoft's developers use Go to build robust cloud-native, microservices-based applications that leverage advanced techs — IoT, big data, AI, ML, blockchain.
Front end
Practice
21 years
Projects
2,200+
Workforce
50+
ScienceSoft uses JavaScript’s versatile ecosystem of frameworks to create dynamic and interactive user experience in web and mobile apps.
Front end Javascript frameworks
Practice
13 years
Workforce
100+
ScienceSoft leverages code reusability Angular is notable for to create large-scale apps. We chose Angular for a banking app with 3M+ users.
Workforce
80+
ScienceSoft achieves 20–50% faster React development and 50–90% fewer front-end performance issues due to smart implementation of reusable components and strict adherence to coding best practices.
ScienceSoft uses Meteor for rapid full-stack development of web, mobile and desktop apps.
By using a lightweight Vue framework, ScienceSoft creates high-performant apps with real-time rendering.
With Next.js, ScienceSoft creates SEO-friendly apps and achieves the fastest performance for apps with decoupled architecture.
When working with Ember.js, ScienceSoft creates reusable components to speed up development and avoid code redundancy.
Mobile
Practice
16 years
Projects
150+
Workforce
50+
ScienceSoft’s achieves 20–50% cost reduction for iOS projects due to excellent self-management and Agile skills of the team. The quality is never compromised — our iOS apps are highly rated.
Practice
14 years
Projects
200+
Workforce
50+
There are award-winning Android apps in ScienceSoft’s portfolio. Among the most prominent projects is the 5-year-long development of Viber, a messaging and VoIP app for 1.8B users.
Practice
11 years
Projects
85+
Workforce
10+
ScienceSoft cuts the cost of mobile projects twice by building functional and user-friendly cross-platform apps with Xamarin.
ScienceSoft uses Cordova to create cross-platform apps and avoid high project costs that may come with native mobile development.
ScienceSoft takes the best from native mobile and web apps and creates the ultimate user experience in PWA.
Practice
8 years
Projects
300+
ScienceSoft reduces up to 50% of project costs and time by creating cross-platform apps that run smoothly on web, Android and iOS.
ScienceSoft will save you from double or even triple expenses associated with platform-specific coding by creating cross-platform apps in Flutter.
With Ionic, ScienceSoft creates a single app codebase for web and mobile platforms and thus expands the audience of created apps to billions of users at the best cost.
Databases / data storages
SQL
Our Microsoft SQL Server-based projects include a BI solution for 200 healthcare centers, the world’s largest PLM software, and an automated underwriting system for the global commercial insurance carrier.
We’ve implemented MySQL for Viber, an instant messenger with 1B+ users, and an award-winning remote patient monitoring software.
Azure SQL Database is great for handling large volumes of data and varying database traffic: it easily scales up and down without any downtime or disruption to the applications. It also offers automatic backups and point-in-time recoveries to protect databases from accidental corruption or deletion.
ScienceSoft's team has implemented Oracle for software products used by GSK and AstraZeneca. We’ve also delivered Oracle-based SCM platform for Auchan, a retail chain with 1,700 stores.
ScienceSoft has used PostgreSQL in an IoT fleet management solution that supports 2,000+ customers with 26,500+ IoT devices. We’ve also helped a fintech startup promptly launch a top-flight BNPL product based on PostgreSQL.
NoSQL
Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.
ScienceSoft has helped one of the top market research companies migrate its big data solution for advertising channel analysis to Apache Hive. Together with other improvements, this led tо 100x faster data processing.
We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.
With ScienceSoft’s managed IT support for Apache NiFi, an American biotechnology corporation got 10x faster big data processing, and its software stability increased from 50% to 99%.
ScienceSoft used MongoDB-based warehouse for an IoT solution that processed 30K+ events/per second from 1M devices. We’ve also delivered MongoDB-based operations management software for a pharma manufacturer.
Cloud databases, warehouses and storage
AWS
We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.
We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.
Azure
Azure SQL Database is great for handling large volumes of data and varying database traffic: it easily scales up and down without any downtime or disruption to the applications. It also offers automatic backups and point-in-time recoveries to protect databases from accidental corruption or deletion.
We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.
Google Cloud Platform
We use Google Cloud Datastore to set up a highly scalable and cost-effective solution for storing and managing NoSQL data structures. This database can be easily integrated with other Google Cloud services (BigQuery, Kubernetes, and many more).
Real-time data processing
DevOps
Containerization
Automation
CI/CD tools
Monitoring
The major factors that affect the lending app implementation budget and duration are the following:
Core cost factors
- The type of a lending app – web or mobile.
- (for mobile apps) Supported mobile platforms (iOS, Android, cross-platform).
- The scope and complexity of the app’s functionality.
- The number and complexity of integrations.
- The number of user roles, UX and UI requirements for each role.
- Performance, scalability, availability, security requirements.
- The chosen sourcing model and team composition.
Operational cost factors
- Fees for the required cloud services, ready-made app components (e.g., credit rating services, KYC/AML verification services, messaging services), integration APIs (banking APIs, financial market data APIs), and security tools.
- Maintenance of compliance with the required regulations, including periodical compliance audits.
- Lending application support services.
From ScienceSoft’s experience, building a mobile lending app of average complexity costs around $120,000–$180,000, while developing a comprehensive web-based money lending solution may require $400,000+ in investments.
Want to understand the cost of your money lending application?
About ScienceSoft
ScienceSoft is an international IT consulting and software development company headquartered in McKinney, Texas. We provide end-to-end application development services to help companies design and build reliable and secure money lending apps. In our projects, we employ robust quality management and data security management systems backed up by ISO 9001 and ISO 27001 certifications.
More from ScienceSoft
Services
Guides