Senior Data Analyst

Role Overview

The Senior Data Analyst will support a major AML rule migration by testing and validating the deployment of an additional system into the AML SAS Viya environment. The work is centered on business reporting and analytical judgment, not quantitative modeling or algorithm development.

Responsibilities

• Execute and validate AML rules in SAS Viya
• Compare outputs against existing AML Transaction Monitoring rules
• Investigate discrepancies down to record-level detail
• Determine whether differences can be resolved or must be documented
• Produce clear documentation explaining variances and logic changes
• Communicate findings to stakeholders in clear, business-friendly language

Must-Have Requirements

• 5–7 years of experience in Data Analytics or Business Reporting
• Strong SQL (joins, aggregations, CTEs)
• SAS experience (Base, DATA step, PROC SQL) or strong SQL with ability to adapt to SAS
• Proven ability to interpret results and explain the “why” behind differences

Nice-to-Haves

• AML domain experience
• Financial services background
• Payments data experience, especially:
  • Wires
  • SWIFT
  • Payments data more broadly
• Experience with system/rule migrations
• Familiarity with SAS Viya
• Python experience

Soft Skills

• Strong business acumen; able to translate ambiguity into clear requirements
• Curious, inquisitive, strong problem-solving skills
• Detail-oriented with a focus on data quality and validation
• Clear communicator presenting technical findings to business stakeholders
• Stakeholder-focused and collaborative

Team / Stakeholders

• Works with the AML Transformation, Delivery & Insights team
• Able to operate with minimal oversight
• Line of business: Financial Crime / AML (supports AML transaction monitoring and compliance for payments data)

Project

• Migration from one system to another, including validation, reconciliation, and documentation of business logic.