Job Family:
GIC General (India)

Travel Required:
None

Clearance Required:
None
What You Will Do:
Team Management: Manage and work with Team Leads and their combined pods, setting clear performance expectations and holding regular one-on-ones.
SLA & Quality Ownership: Own segment-level SLA, aging, and quality metrics across all in-scope AML workstreams; drive corrective action plans where targets slip.
Escalation Resolution: Serve as the escalation point for complex Transaction Monitoring alerts, ambiguous typology matches, and cross-functional queries requiring judgment beyond Team Lead level.
Calibration: Run regular calibration sessions with Quality Assurance to align on disposition standards for TM alerts, EDD assessments, and SAR quality.
Capacity & Roster Planning: Plan shift rosters, leave, and capacity across teams in coordination with workforce management to maintain SLA coverage.
Process & Regulatory Change: Translate updates to typologies, regulatory guidance, or internal policy into revised SOPs and floor communication, ensuring timely rollout.




Performance Management: Conduct performance reviews, PIPs, and coaching plans for Team Leads; approve QA-driven coaching plans for analysts.
MI & Reporting: Consolidate and present segment-level dashboards (volume, aging, quality, attrition, productivity) to the Manager on a weekly/monthly cadence.
Stakeholder Coordination: Liaise with Compliance, Legal, and Training functions on case-specific queries, policy interpretation, and escalations requiring sign-off.

What You Will Need:
10+ years of overall experience in AML/Financial Crime compliance operations, with at least 2 years directly supervising teams or Team Leads.
Solid, demonstrable experience in Transaction Monitoring (TM) — alert investigation, disposition quality, and typology-based decisioning at a review/oversight level.
Proven experience managing KYC/CDD, EDD, PEP Review, and SAR Filing workstreams concurrently, ideally in a multi-process AML operat

📌 Supervisor (Chennai)
🏢 Guidehouse
📍 Chennai