Montrose Software
FintechCase studies

Bond Lab: Elevating fixed income analytics through custom software solutions

3 min read•

Restored and enhanced fragmented analytics with rebuilt code, faster Redshift queries, secure API/web access, and Docker-based deployment.

Two professionals analyzing financial charts on multiple monitors and a laptop in an office setting.
Two professionals analyzing financial charts on multiple monitors and a laptop in an office setting.

Client overview

Bond Lab is a U.S.-based fintech company dedicated to delivering high-quality fixed-income analytics emphasizing speed, reliability, and affordability. Their team comprises seasoned professionals from Wall Street, including portfolio managers, deal structurers, and experts in artificial intelligence and real-time architectures. This diverse expertise underpins their mission to provide next-generation analytics and applications, enabling market participants to invest and operate more effectively.

Person counting US dollar bills at a desk with multiple monitors displaying financial charts and stock market data.

The challenge


Bond Lab approached us with an incomplete and fragmented analytics platform. The existing system suffered from:

  • Incomplete Codebase: Significant portions of the code were missing or undocumented, hindering functionality.
  • System Integration Issues: Disparate components lacked cohesion, leading to operational inefficiencies.
  • Performance Bottlenecks: The PostgreSQL database exhibited slow query execution, impeding analytical processes.
  • Limited Access Control: The absence of a secure API and web interface restricted authorized user access.

Our solution


To address these challenges, our team implemented a comprehensive redevelopment strategy:

  • Code Reconstruction: We meticulously rebuilt the missing code segments, restoring full system functionality.
  • System Integration: Our engineers seamlessly integrated various components, ensuring smooth operation.
  • Database Migration: Transitioned from PostgreSQL to Amazon Redshift, significantly enhancing query performance.
  • Secure Access Development: Developed a secure API and web interface, facilitating authorized user interactions.
  • Deployment Optimization: Utilized Docker technology to enable clients to deploy ready-to-use system copies effortlessly.
Dashboard screenshots from Bond Lab showing bond yield curves, Z-scores, and financial data visualizations.
Application screens

Technology Stack

  • Programming languages: R, Python
  • Database: Amazon Redshift
  • Infrastructure: AWS Lambda, Docker
  • API: GraphQL
Logos of the applications used in the project.
Technology stack

Deliverables

Our collaboration with Bond Lab culminated in a robust, high-performance analytics platform that:

  • Restored and completed system functionality, enhancing operational efficiency.
  • Delivered a secure, user-friendly API and web interface for authorized access.
  • Achieved significant improvements in query execution speed through database optimization.
  • Expanded analytical capabilities to meet complex client requirements.

This transformation empowered Bond Lab to offer reliable and efficient fixed-income analytics, enabling their clients to make informed investment decisions with confidence.