Full Stack Developer - Loan IQ
Summary
Full-stack developer building, customizing, and enhancing Loan IQ loan-management modules (deals, facilities, payments) within a fintech environment, integrating them via REST/SOAP APIs and optimizing Oracle/SQL Server queries. Core stack: Java, Spring Boot, Angular, Loan IQ SDK, plus AI-assisted tooling.
Summary
The Full Stack Developer for Loan IQ is primarily responsible for developing, customizing, and enhancing Loan IQ modules to facilitate efficient loan management processes within financial environments. The role supports the integration of advanced technologies and automation to streamline workflows and ensure high data integrity.
Main Responsibilities
LoanIQ Development: Build, customize, and enhance LoanIQ modules (deals, facilities, servicing, payments, and notices) using LoanIQ SDK, APIs, and batch execution frameworks.
AI Integration: Leverage AI-assisted engineering tools to accelerate coding, testing, and documentation.
Workflow Automation: Contribute to intelligent document processing, automated loan operations, and AI-enabled business solutions.
Integration & Migration: Connect LoanIQ to enterprise applications via REST or SOAP APIs. Assist with system upgrades, migrations, and new product rollouts.
Database Management: Write and optimize SQL/PL-SQL queries for Oracle or SQL Server to ensure data integrity and high performance.
Support & Troubleshooting: Diagnose and resolve technical or production issues related to the platform.
Key Requirements
3 to 6 years of software development experience in enterprise or financial environments.
Hands-on experience in LoanIQ configurations and migrations.
Strong Java, Spring Boot, and REST API expertise.
Frontend expertise with Angular and component-based UI design.
SQL/PL-SQL knowledge with LoanIQ data model understanding.
Experience with LoanIQ SDK and scripted APIs.
Familiarity with API design, JSON/XML processing, and Agile methodologies.
Nice to Have
Understanding of Generative AI concepts and prompt engineering.
Knowledge of Responsible AI governance.
Exposure to Large Language Models (LLMs) or Retrieval-Augmented Generation (RAG).
Solid understanding of the commercial loan lifecycle, syndicated lending, and loan servicing.
Other Details
This role is situated within a financial technology environment focusing on loan processing. Specific location and team structure are not specified.