Financial Crimes Reporting & Intelligence

Banking

FinancialCrimesReporting&Intelligence-Sr.Analyst

$96–181k Amherst, New York, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Financial Crimes Reporting & Intelligence - Sr. Analyst at Financial Crimes Reporting & Intelligence”

Industry & Context.

Banking
Full Job Description

**Location:** 4224 Ridge Lea Road, Amherst New York ## Job Summary The Financial Crimes Reporting & Intelligence Sr. Analyst is responsible for sourcing, preparing, and delivering reporting and analytics in support of BSA/AML/OFAC & Corporate Investigations compliance. The candidate will leverage data mining, analytics, and visualization tools to transform complex data into actionable business insights, operational reports, tolerance thresholds, and key risk indicators. The role requires a blend of accountability, technical expertise, and business acumen to meet tight deadlines, drive continuous improvement and meet regulatory expectations. The ideal candidate will support advanced reporting and analysis, data quality initiatives, and collaborate with stakeholders to align reporting with strategic objectives. This includes identifying and anticipating business needs, translating them into insightful data solutions, and enhancing business and data literacy across the organization. The analyst may also work closely with analytics enablement and data strategy partners to drive innovation, improve efficiency, and support the adoption of enterprise-wide data and analytics strategies. ## ## Key Responsibilities * Provide advanced analysis and reporting, leveraging critical thinking and business acumen to source and translate data into business insights to solve business problems. * Collaborate with business partners to understand and provide analytical needs. * Support regulatory exams and audits by delivering required reports, documentation, and data extracts in a timely and accurate manner. * Identify opportunities to automate manual reporting processes and implement scalable, repeatable solutions. * Manage personal data pipelines within analytical workspaces. * Translate complex data into clear, actionable insights for both technical and non-technical audiences. * Promote data and business literacy across the team and broader organization through mentoring, documentati

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