Data Analyst

Machine Learning Technologies, LLC; Baltimore (MD); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Machine Learning Technologies, LLC is hiring an experienced Financial Crimes Data Analyst in a hybrid Baltimore setting. You will analyze risks, validate data, and translate business needs into technical data solutions while collaborating with cross-functional teams and leadership.

The role emphasizes SQL-based analysis, Excel-driven reporting, and Agile delivery to support enterprise-wide risk assessments and regulatory readiness.

Qualifications

• Minimum 5 years as Financial Crimes Data SME with enterprise-wide risk experience.
• Minimum 5 years of Data Analyst experience in banking or financial services.
• Strong SQL skills and large dataset querying/analysis.
• Advanced Excel skills including pivot tables, lookups, charts, and VBA.

Responsibilities

• Support the GFC Risk Assessment Product Owner by defining data requirements.
• Use SQL and Excel to analyze data for risk assessments and strategic initiatives.
• Conduct QA reviews and validate sourced/processed data.
• Draft and manage JIRA stories, business requirements, and sprint activities.
• Collaborate with compliance, risk, business, and technology teams on workflows.
• Translate business needs into technical requirements and data solutions.
• Synthesize findings into executive-level recommendations.
• Support Agile delivery and improve reporting accuracy for regulatory readiness.

Skills

SQL

Excel

JIRA

Agile

Data analysis

Stakeholder comms

VBA

Pivot tables

Risk assessment

Job description

The client is seeking an experienced Financial Crimes Data Analyst to support enterprise-wide risk assessments, analyze financial crimes risks, and develop actionable recommendations for compliance and business leadership. The role focuses on SQL-based data analysis, reporting accuracy, data validation, requirements gathering, and Agile product delivery while collaborating with business and technology stakeholders.

Responsibilities:

• Support the GFC Risk Assessment Product Owner in defining and documenting data requirements.
• Use SQL and Excel to analyze data for risk assessments, reporting, and strategic initiatives.
• Conduct quality assurance reviews and validate sourced and processed data.
• Draft and manage JIRA stories, business requirements, and sprint activities.
• Collaborate with compliance, risk, business, and technology teams to support risk assessment products and workflows.
• Translate business needs into technical requirements and actionable data solutions.
• Synthesize complex analytical findings into executive-level recommendations.
• Support Agile delivery and improve reporting accuracy and regulatory readiness.
• Minimum 5 years of experience as a Financial Crimes Data SME, including enterprise-wide risk assessments and financial crimes risk analysis.
• Minimum 5 years of Data Analyst experience within banking or financial services.
• Strong SQL skills and experience querying and analyzing large datasets.
• Advanced Excel skills, including pivot tables, lookup functions, charts, and VBA.
• Experience gathering data requirements and supporting Product Owners throughout project lifecycles.
• Knowledge of banking and securities products, services, and market participants.
• Experience working in Agile delivery environments and managing JIRA stories and sprint activities.
• Strong project management, organizational, analytical, and critical-thinking skills.
• Excellent communication and stakeholder engagement abilities.
• Ability to translate business requirements into technical solutions.
• Ability to work in a hybrid environment in Baltimore, MD.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.