Location: Canada / Hybrid / Remote
Employment Type: Full-Time / Contract
About the Role
Infocodec Solutions is seeking a highly experienced Senior Manager – Financial Crimes Data Analytics to lead advanced analytics initiatives focused on fraud detection, anti-money laundering (AML), and financial crime prevention.
In this role, you will leverage data analytics, machine learning, and advanced risk modeling techniques to identify suspicious activity patterns, strengthen compliance frameworks, and enhance financial crime monitoring capabilities.
You will collaborate with risk, compliance, data science, and technology teams to design and implement analytics solutions that support regulatory compliance and proactive financial crime detection.
Key Responsibilities
Financial Crime Analytics
- 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.
Risk & Compliance Support
- Work closely with AML, Compliance, and Risk Management teams to improve monitoring frameworks.
- Ensure analytics solutions align with regulatory requirements and financial crime prevention policies.
Model Development
- Design and deploy predictive models and statistical algorithms to enhance transaction monitoring and risk scoring.
- Implement machine learning models for improved fraud detection and risk classification.
Data Strategy & Insights
- Build dashboards and analytics tools that provide actionable insights to compliance officers and senior leadership.
- Translate complex data findings into clear reports and recommendations for stakeholders.
Collaboration
- Partner with data engineers, business analysts, and regulatory teams to ensure reliable data pipelines and analytics platforms.
- Support integration of analytics solutions into enterprise financial crime systems.
Leadership & Governance
- Lead cross-functional teams delivering financial crime analytics initiatives.
- Establish best practices in data governance, model validation, and analytics frameworks.
Required Qualifications
Experience
- 8+ years of experience in financial services, risk analytics, or financial crime compliance.
- Strong experience in AML, fraud detection, or financial crime prevention programs.
Technical Skills
- Strong experience with data analytics and statistical modeling tools, including:
- Python
- R
- SQL
- Data visualization platforms (Power BI, Tableau)
- Experience with machine learning and predictive analytics techniques.
Financial Crime Knowledge
Strong understanding of:
- Anti-Money Laundering (AML)
- Fraud detection frameworks
- Transaction monitoring systems
- Regulatory requirements (e.g., FATF, FINTRAC, global AML frameworks)
Data & Technology
- Experience working with large-scale financial datasets and analytics platforms.
- Knowledge of data governance and risk data frameworks.
Leadership
- Proven ability to lead analytics initiatives and manage cross-functional teams.
- Strong communication and stakeholder management skills.
Preferred Qualifications
- Experience implementing AML transaction monitoring systems or fraud analytics platforms.
- Knowledge of AI/ML applications in financial crime detection.
- Experience working with global financial institutions or regulatory compliance teams.
Education
- Bachelor’s or Master’s degree in:
- Data Science
- Statistics
- Finance
- Computer Science
- Mathematics or related fields
Why Join Infocodec Solutions
Infocodec Solutions partners with organizations across financial services, banking, and technology sectors to deliver advanced analytics and compliance solutions.
Our consulting teams specialize in:
- Financial crime analytics and compliance technology
- Capital markets platforms
- AI and data-driven risk management solutions
- Enterprise digital transformation
