Quality Analyst

Signify Technology; Charlotte (NC); Hybrid; USD 55,000 - 75,000; Full time

Job summary

Signify Technology is seeking a detail-oriented Quality Analyst for a 12-month extendable contract with potential to convert to FTE. The role is hybrid in Charlotte, NC, requiring experience in QA for AI-powered customer conversations and financial guidance.

You’ll review chatbot interactions and ensure accuracy, compliance, and helpfulness for customers. Ideal candidates have 1–3 years in related fields, a strong eye for detail, proficiency with Excel and QA tools, and a genuine interest in

Qualifications

• 1–3 years of professional experience (internships count).
• Genuine interest in personal finance, credit and banking.
• Strong eye for detail with ability to spot errors and inconsistencies.
• Comfortable navigating CRMs, customer data platforms, and ticketing QA tools.
• Confident with Excel, including pivot tables, charts and CSV work.
• Able to analyze large data volumes to verify accuracy.
• Customer-first mindset with clear written communication.
• Interest in AI and its use in customer-facing products.

Skills

Attention to detail

Customer focus

Written communication

Interest in AI

Tools

Excel

CRM tools

QA tools

CSV files

Job description

Quality Analyst - 12 months extendable contract (or can convert to FTE)

Hybrid in Charlotte, North Carolina

W2 only, no C2C, no sponsorship, no third parties.

About the job

A leading financial technology software company is expanding its AI quality team and needs a detail-driven analyst. You'll review AI-generated conversations (chat bot) and financial guidance to make sure what customers see is accurate, compliant, and genuinely helpful.

Requirements

• 1-3 years of professional experience (internships count) ideally in customer service, customer experience, banking operations, lending, technical support, or quality assurance.
• Genuine interest in personal finance, credit, and banking
• Strong eye for detail, with a knack for spotting errors and inconsistencies
• Comfortable navigating CRMs, customer data platforms, and ticketing-style QA tools
• Confident in Excel, including pivot tables, charts, and working with CSV files
• Able to dig through large volumes of data, such as credit reports and transaction histories, to verify accuracy
• Customer-first mindset with clear written communication
• Interest in AI and how it's used in customer-facing products