Senior Manager - Financial Crimes Analytics & ML

Infocodec Solutions; Canada; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Infocodec Solutions seeks a Senior Manager – Financial Crimes Data Analytics to lead analytics initiatives for fraud detection, AML, and financial crime prevention. You will drive data analytics, ML, and risk modeling to identify suspicious activity and strengthen compliance.

You will collaborate with risk, compliance, data science, and technology teams to design analytics solutions aligned with regulatory requirements and enterprise systems.

Qualifications

• 8+ years of experience in financial services, risk analytics, or financial crime compliance.
• Strong experience in AML, fraud detection, or financial crime prevention programs.
• Proficient in data analytics and statistical modeling tools.

Responsibilities

• Develop and implement data analytics models to detect fraud, AML risks, and suspicious transaction patterns.
• Analyze large datasets to identify emerging financial crime trends and behavioral anomalies.
• Work with AML, Compliance, and Risk Management teams to improve monitoring frameworks.
• Ensure analytics solutions align with regulatory requirements and financial crime policies.
• Design and deploy predictive models and statistical algorithms for transaction monitoring and risk scoring.
• Implement machine learning models for improved fraud detection and risk classification.
• Build dashboards and analytics tools providing actionable insights to compliance officers and leadership.
• Translate complex data findings into clear reports and recommendations for stakeholders.
• Lead cross-functional teams delivering financial crime analytics initiatives.

Skills

Data analytics

Machine learning

Predictive analytics

Python

R

SQL

Power BI

Tableau

Education

Data Science

Statistics

Finance

Computer Science

Mathematics

Tools

Python

R

SQL

Power BI

Tableau

Job description

Infocodec Solutions seeks a Senior Manager – Financial Crimes Data Analytics to lead analytics initiatives for fraud detection, AML, and financial crime prevention. You will drive data analytics, ML, and risk modeling to identify suspicious activity and strengthen compliance.

You will collaborate with risk, compliance, data science, and technology teams to design analytics solutions aligned with regulatory requirements and enterprise systems.