Senior Data Analyst - AML / KYC

Key Responsibilities : Lead and deliver consulting engagements focused on financial risk, compliance, and regulatory transformation for banking, capital markets, and insurance clients. Design and implement risk frameworks, compliance programs, and control environments aligned with regulatory standards (e.g., NIST, COSO, FFIEC, GDPR, CCPA). Apply data analytics to assess risk exposure, monitor compliance, and support remediation efforts. Collaborate with cross-functional teams to integrate GRC (Governance, Risk, and Compliance) technologies and risk platforms. Conduct risk assessments, including AML / KYC, fraud detection, sanctions screening, and operational resilience. Translate complex regulatory requirements into actionable strategies using data visualization, dashboards, and predictive analytics. Support business development through proposal writing, client presentations, and thought leadership. Required Qualifications : Bachelors or Masters degree in Finance, Risk Management, Data Science, or a related field. 5+ years of experience in financial services consulting or internal risk / compliance roles. Hands-on experience with data analytics tools (e.g., SQL, Python, Power BI, Tableau) and GRC platforms (e.g., Archer, MetricStream). Deep understanding of financial crimes compliance, including AML, KYC, and fraud management. Familiarity with regulatory frameworks and data privacy laws (e.g., GDPR, CCPA). Strong communication and stakeholder management skills. Preferred Qualifications : Certifications such as CAMS, CISA, CRISC, or similar. Experience with cloud-based data platforms and AI / ML applications in risk analytics. Prior consulting experience with top-tier firms or financial institutions. Skills : Data Analysis AML KYC Fraud Benefits : Work From Home