Quavo Fraud & Disputes Tech Stack

Dispute management platform for financial institutions with fraud detection

Financial Services Wilmington, DE 51–200 employees Founded 2015 Privately Held

Quavo provides dispute resolution automation for banks and card issuers, with an emerging focus on fraud detection models. The tech stack reveals a modern ML engineering posture—Python, scikit-learn, TensorFlow, PyTorch alongside Kubernetes and AWS—paired with strong test automation concerns (Selenium, WireMock, regression frameworks). Current hiring (3 engineers, 2 data roles, all mid-to-senior) targets advanced analytics and real-time fraud prevention, suggesting the company is shifting from pure dispute workflow automation toward predictive fraud capabilities.

Tech Stack 25 technologies

Core StackDocker Kubernetes Node.js Vue JavaScript AWS AWS Lambda DynamoDB Bitbucket scikit-learn TensorFlow PyTorch Python Snowflake Java Selenium Confluence Jira HTML5 CSS Bitbucket Pipelines SQL Pega WireMock SharePoint

What Quavo Fraud & Disputes Is Building

◆Challenges

Combat evolving fraud schemes
Minimize false positives
Maximize fraud recovery
Robust model governance
Compliance with regulatory requirements
Lack of test automation framework

▲Active Projects

Advanced analytics for fraud detection
Real-time fraud prevention models
Feature engineering for fraud detection
Continued test automation into regression suite
Scale and maintain test automation framework

Hiring Activity

Accelerating5 roles · 5 in 30d

Department

Engineering

Data

Seniority

Senior

Mid

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About Quavo Fraud & Disputes

Quavo delivers SaaS dispute management software to issuing banks and card networks, founded in 2015 and headquartered in Wilmington, DE. The platform automates the full dispute lifecycle from intake through resolution, with optional managed-service investigation support. The 51–200 person organization operates across both product development and back-office operations; customer base spans institutions of all sizes. Core value drivers are speed (faster dispute closure), compliance adherence, and fraud loss reduction.

HeadquartersWilmington, DE

Company Size51–200 employees

Founded2015

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Quavo use?

Node.js and Vue for frontend; Python (scikit-learn, TensorFlow, PyTorch) for ML; AWS (Lambda, DynamoDB) for infrastructure; Kubernetes and Docker for orchestration; Snowflake for data warehousing; Pega for workflow rules.

What is Quavo working on?

Advanced fraud detection analytics, real-time fraud prevention models, feature engineering pipelines, and test automation framework expansion. Key challenges include minimizing false positives and managing model governance at scale.