AML Analytics Consultant

Embedded Shishya; United States; Hybrid; USD 83,000 - 193,000; Part time

Job summary

Embedded Shishya is seeking an experienced AML Analytics Consultant on a contract basis to design, develop, and optimize AML data analytics for a global client base. The role focuses on SQL-driven monitoring, data manipulation, and insightful visualizations for risk and compliance teams.

You will work with cross-functional stakeholders and leverage Python/R/SAS as needed, delivering scalable data solutions in a fast-paced, client-facing environment.

Qualifications

• Proven AML/Financial Crime analytics experience.
• Experience handling large datasets across multiple systems.
• Experience with transaction monitoring tools is a plus.

Responsibilities

• Assess AML systems, analytics tools, and monitoring models.
• Develop, optimize, test transaction monitoring rules.
• Extract, transform, and analyze large datasets.
• Develop dashboards and data visualizations for AML insights.
• Translate regulatory requirements into technical data solutions.
• Provide advisory on AML system tuning and effectiveness reviews.
• Collaborate with compliance, risk, IT, and business units.
• Deliver documentation to stakeholders.

Skills

SQL

Data Analytics

Python/R

AML/Financial Crime

Stakeholder Mgmt

Communication

Education

Bachelor’s or Master’s degree in Data Science, CS, Economics, Finance, or related field

Tools

Actimize

FICO

SAS AML

Job description

Job Title: AML Analytics Consultant (Contractor)

Location: Hybrid / Remote (Global Client Base)

Engagement Type: Contract / Consultancy

Duration: 6-12 months (with potential extension)

Rate: Competitive (based on experience)

About the Role

We are seeking an experienced AML Analytics Consultant with strong SQL and data analytics capabilities to join a global consulting firm. In this role, you will work alongside high-profile financial institutions, supporting them in the design, development, and optimization of Anti-Money Laundering (AML) analytics and data-driven solutions.

This is an exciting opportunity for a contractor or independent consultant with hands‑on experience in AML analytics, a solid grasp of financial crime compliance, and a deep understanding of data manipulation and reporting.

Key Responsibilities

• Partner with client teams to assess existing AML systems, analytics tools, and monitoring models.
• Develop, optimize, and test transaction monitoring rules using SQL and data analytics tools.
• Extract, transform, and analyze large datasets to detect suspicious patterns or unusual behavior.
• Assist in the development of dashboards, reporting tools, and data visualizations to present key AML insights.
• Translate regulatory and risk requirements into technical data solutions.
• Provide advisory support on AML system tuning, calibration, and effectiveness reviews.
• Collaborate with cross-functional teams including compliance, risk, IT, and business units.
• Deliver clear documentation and findings to both technical and non-technical stakeholders.

Key Requirements

• Proven experience in AML/Financial Crime analytics, ideally within consulting or large financial institutions.
• Strong SQL skills and experience handling large datasets across multiple systems.
• Proficiency in tools such as Python, R, SAS, or similar (desirable but not required).
• Experience with transaction monitoring systems (Actimize, FICO, SAS AML, etc.) is a plus.
• Deep understanding of AML regulations, typologies, and industry standards.
• Strong analytical thinking with the ability to solve complex problems using data.
• Excellent communication and stakeholder management skills.
• Self-starter with the ability to work independently in a fast-paced, client-facing environment.

Preferred Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, Finance, or a related field.
• Certifications in AML (e.g., CAMS) or related compliance frameworks are advantageous.

What We Offer

• Opportunity to work with globally recognized financial institutions.
• A dynamic and collaborative consulting environment.
• Flexible working arrangements.
• Exposure to innovative AML technologies and strategic projects.