Financial Crimes Data Analyst (Hybrid, Baltimore)

MACHINE LEARNING TECHNOLOGIES LLC; Baltimore (MD); Hybrid; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

MACHINE LEARNING TECHNOLOGIES LLC in Baltimore, MD is seeking a Data Analyst to support enterprise risk assessments, analyze financial crimes risks, and deliver actionable recommendations for compliance and leadership. The role emphasizes SQL-based data analysis, data validation, and agile product delivery while collaborating with business and technology stakeholders.

The candidate will work in a hybrid environment in Baltimore, supporting data requirements, dashboards, and reporting for risk

Qualifikationen

• Minimum 5 years as Financial Crimes Data SME in enterprise-wide risk assessments.
• Minimum 5 years Data Analyst experience in banking or financial services.
• Strong SQL skills and experience querying large datasets.
• Advanced Excel skills including pivot tables, lookup, charts, and VBA.

Aufgaben

• Support GFC Risk Assessment Product Owner in defining and documenting data requirements.
• Use SQL and Excel to analyze data for risk assessments and strategic initiatives.
• Conduct quality assurance reviews and validate sourced data.
• Draft and manage JIRA stories, BRs, and sprint activities.
• Collaborate with compliance, risk, business, and technology teams to support risk assessment products.
• Translate business needs into technical requirements and actionable data solutions.
• Synthesize analytical findings into executive-level recommendations.
• Support Agile delivery and improve reporting accuracy and regulatory readiness.

Jobbeschreibung

MACHINE LEARNING TECHNOLOGIES LLC in Baltimore, MD is seeking a Data Analyst to support enterprise risk assessments, analyze financial crimes risks, and deliver actionable recommendations for compliance and leadership. The role emphasizes SQL-based data analysis, data validation, and agile product delivery while collaborating with business and technology stakeholders.

The candidate will work in a hybrid environment in Baltimore, supporting data requirements, dashboards, and reporting for risk