Lead and manage a Fraud Monitoring Analytics team of ~5 data analysts.
Oversee delivery of fraud‑focused analytics projects across U.S. banking channels.
Act as primary client engagement lead, ensuring alignment on all fraud monitoring initiatives.
Provide technical and domain guidance across SQL, Python, PySpark, Spark, and big‑data environments.

8+ years of experience in fraud analytics, risk analytics, or data analytics.
Proven experience leading a team of analysts in fraud or risk environments.
Strong project management background in fraud monitoring or financial crime analytics.
Expertise in SQL, Python, PySpark, Spark, and big-data environments (Hadoop, Oracle).
Strong understanding of U.S. banking fraud processes and alerting workflows.
Excellent communication and client-facing engagement skills.
Ability to create polished dashboards and executive-level presentations.
Experience with Account Opening, Deposits, Cards, or Transaction Monitoring fraud.
Experience supporting Fraud Strategy, Fraud Operations, or AML/Financial Crime teams preferred.
Familiarity with fraud detection platforms or case management systems preferred.
Project Management certifications (PMP, Agile, Scrum) preferred.
Consulting experience or engagement leadership roles strongly preferred.

Lead Data Analyst

Key skills