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Python Engineering Support for FinTech Financing Platform

Services Covered:

Custom Software Development
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Industry
Industry

Financial Services

Duration
Durationinfo-circle

47 months

Budget
Budget

Confidential

Start Date
Start Date

1 January 2013

Team Size
Team Size

6-10

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
82/100
Strong

Project Capability Score (PCS) estimates how capable STX Next is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

mapAustin, United States of America

Project Summary

STX Next developed and extended a Python/Django-based financing platform that lets users explore and select corporate lenders using a weighted distribution (lender waterfall) model and supports both point-of-sale and e-commerce integrations. The vendor implemented a single-page, browser-based financing center and client-server browser app for light in-store integrations, acting as an extension of the client's team. Reviewers praised STX Next's QA, project management, and proactive collaboration while noting opportunities to improve tooling use (e.g., Jira).

Key Challenges

  • Increase team capacity with cohesive Python/Django expertise
  • Replace or improve upon existing ineffective outsourcing arrangements
  • Deliver extensive feature development including custom integrations with new retailers and lenders

Project Deliverables

  • Weighted distribution service (lender waterfalling)
  • Single-page browser-based financing center application
  • Client-server browser app for light in-store integrations
  • Retailer and lender integrations (point-of-sale and e-commerce)

Project Solution

STX Next built a weighted-distribution service to waterfall lenders into prime, secondary, and tertiary markets and enabled multiple lenders per level. They refactored the financing center into a single-page, browser-based application, developed e-commerce functionality to integrate online stores, and provided a client-server browser app for lighter in-store integrations that avoided POS system changes. STX Next functions as an extension of the client's product team, providing staff augmentation (up to 10 resources at peak, including a Scrum master), recruitment/trial hiring and Agile training.

Project Outcome

  • E-commerce refactor delivered on time to meet a fixed holiday-season launch deadline
  • Significant revenue dependence on the timely delivery (numbers not disclosed)
  • Ability to quickly scale resources on short notice when a lender delivered late
  • Smooth hiring and recruitment; career progressions and Agile adoption within client teams

Platforms

  • WebWeb
  • API/Integration PlatformAPI/Integration Platform

Tech Stack

  • PythonPython
  • DjangoDjango
  • AngularJSAngularJS

Client Endorsement

Overall Review Rating

4.63star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Key highlights include a clear commitment to quality assurance, well-organized project management, and the ability to brainstorm proactively with their clients. It was recommended that STX Next improve their use of tools like Jira.”

Anonymous

Sr. Engineering Manager

Note: This endorsement is based on publicly available client feedback from external review sources.

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