Quality Analyst - Primary Cybersource

The Quality Analyst is an individual contributor role responsible for advancing quality, risk, and control monitoring through a combination of manual evaluation, AI‑enabled quality intelligence, and data‑driven insight generation. The role supports first‑line‑of‑defense risk governance by performing quality reviews, monitoring control effectiveness, identifying emerging risks, and enabling continuous improvement across customer interactions and operational processes.

The Quality Analyst analyzes patterns, identifies root causes, and influences operational change. The analyst partners closely with Client Care leadership, operations, training, and risk stakeholders to translate quality and control signals into actionable insights, remediation strategies, and performance improvements.

This role leverages AI‑assisted quality tools, advanced analytics, and visualization platforms to surface non‑obvious insights, support governance of Hu & AI driven quality models, and deliver clear, decision‑ready narratives that inform leadership priorities and investments.

Responsibilities:

Quality & Risk Monitoring

• Perform end‑to‑end quality reviews of customer interactions across voice, chat, email, case, and back‑office channels, ensuring accuracy, consistency, and compliance with documented standards.
• Support human‑in‑the‑loop AI quality monitoring, including reviewing assisted and automated scoring outputs and providing structured feedback to improve model performance.
• Identify quality defects, compliance risks, behavioral gaps, and control failures through manual and AI‑enabled analysis.

Analysis & Insight Generation

• Analyze quality, risk, and control data across segments, channels, and time to identify trends, systemic issues, and emerging risk themes.
• Translate quality and control findings into measurable business impact, connecting defects to process, policy, or behavioral drivers.
• Compile, analyze, and deliver regular quality, risk, and performance reporting to Client Care leadership using dashboards and visual analytics.

Consultative Partnership & Influence

• Partner with Operations, Training, and Functional Leaders to reframe defects as process or policy gaps and co‑design targeted improvement actions.
• Lead and participate in calibration sessions, governance forums, and quality consistency reviews to ensure alignment across teams, vendors, and AI models.
• Serve as a trusted quality and risk advisor, influencing decisions, remediation priorities, and performance improvement strategies without direct people management.

AI‑Enabled Quality & Governance

• Leverage AI tools (e.g., Copilot, assisted scoring, topic mining, speech and text analytics) to accelerate insight generation while validating AI outputs for accuracy and defensibility.
• Identify systematic gaps in Auto/AI scoring and support governance efforts to improve model signal fidelity and exception handling.
• Apply AI‑driven quality signals to prioritize high‑risk interactions and focus remediation efforts where impact is greatest.

Communication & Presentation

• Synthesize complex findings into clear, audience‑specific narratives that articulate what changed, why it matters, and what action is required.
• Deliver concise insight briefs and executive‑ready materials that drive understanding, alignment, and action.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.