FinTech Stack Developer (Node.js / Python / React)

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Job summary

Our ecosystem is built on a modern, high-performance stack. We require a developer who is proficient in React.js with TypeScript and Tailwind CSS to build financial dashboards that work well on all devices and are easy to use and Node.js (using NestJS) to handle real-time transactions

Min Qualification: Degree Experience Level: Entry level Experience Length: 2 years Language Requirement: English Working Hours: Full Time - 9 to 5 Applicant Location: Lagos, Nigeria

Job descriptions & requirements

Responsibilities:

  • Full-Stack Implementation: Develop end-to-end features, from the Apply Now loan interface in React to the back-end disbursement logic in Node.js. 
  • Automated Decisioning: Build and maintain Python-based microservices that interface with machine learning models to evaluate borrower risk in milliseconds.
  • Secure Data Flow: Implement JSON Web Tokens (JWT) and mTLS for secure communication between our lending app and third-party banking APIs (like Plaid or Stripe).
  • Database Integrity: Write complex, performant SQL queries and migrations, ensuring that every cent is accounted for with 100% precision


Requirements:

  • Must be comfortable switching between strict typing in TS and data-centric scripting in Python.
  • Experience building scalable APIs that handle high concurrency during peak lending periods.
  • Commitment to Test-Driven Development (TDD) to prevent regressions in financial calculations.
  • Deep understanding of preventing SQL injection, XSS, and ensuring data encryption (AES-256).


The FinTech Edge (Bonus Points):

  • Experience with event-driven architecture (Kafka or RabbitMQ) to handle asynchronous loan processing.
  • Familiarity with blockchain or smart contracts if the platform involves decentralised finance (DeFi) elements.
  • Knowledge of docker & kubernetes for maintaining a consistent environment across development and production.


Interview Task Preview:

  • Practical Challenge: Candidates will be asked to build a mini-amortisation engine that calculates monthly payments based on a fluctuating interest rate and handles an edge case: leap year interest accrual.


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