Quality Assurance Team Lead

About the role

Wise, a global technology company that helps people and businesses send, spend and receive money internationally, is hiring a Quality Assurance Team Lead in Tallinn. The role provides independent, expert assurance over how work is done, spotting risk, finding control gaps and turning insights into practical improvements. It suits candidates with extensive experience in AML investigation, SAR reporting, fraud, sanctions or KYC (EDD/CDD).

Key responsibilities

• Lead by example and foster a customer-focused, proactive risk and compliance mindset, with a culture of ownership and accountability.
• Coach and develop the QA team through regular one-on-ones, performance reviews, skill-building initiatives and development plans.
• Manage operations, identify improvement opportunities, collaborate with central functions to increase automation, monitor resource allocation and refine standard operating procedures.
• Drive the KPIs, SLAs and OKRs of the area, ensure plans to meet performance and quality targets, and act as escalation point for blockers.
• Ensure the accuracy of QA outcomes in the domain (AML investigation, SAR reporting, fraud, KYC EDD/CDD), lead root cause analysis and engage the RCA team when needed.
• Translate aggregated QA data into clear narratives for stakeholders, communicate complex topics simply and act as liaison between teams.
• Train the team on QA, policy and risk topics, stay up to date on regulatory obligations and help senior leadership with audits and policy development.

Required profile

• 3+ years of proven experience leading, coaching and managing the performance of a technical or analytical team of 5 to 20 people in a relevant QA domain.
• Fluent English, written and spoken, able to articulate thoughts and recommendations clearly.
• Proven project management skills to deliver projects and reviews on time and to a high standard.
• Commitment to continuous learning of leadership skills, regulatory insight and emerging risk typologies.

Required skills

• Risk and compliance expertise: reviewing and interpreting policy, signing off complex decisions with a risk-based rationale.
• Quality assurance framework: keeping the QA approach adequate and effective through business change.
• Trend analysis: using data to assess issues, root causes and gaps in policies and processes.
• AI literacy: encouraging experimentation and testing automation and AI opportunities in the QA process.