Location: Canada / Hybrid / RemoteEmployment Type: Full time / ContractAbout the RoleInfocodec 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 ResponsibilitiesFinancial Crime AnalyticsDevelop 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 SupportWork 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 DevelopmentDesign 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 & InsightsBuild 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.CollaborationPartner 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 & GovernanceLead cross-functional teams delivering financial crime analytics initiatives.Establish best practices in data governance, model validation, and analytics frameworks.Required QualificationsExperience8+ years of experience in financial services, risk analytics, or financial crime compliance.Strong experience in AML, fraud detection, or financial crime prevention programs.Technical SkillsStrong experience with data analytics and statistical modeling tools, including:PythonRSQLData visualization platforms (Power BI, Tableau)Experience with machine learning and predictive analytics techniques.Financial Crime KnowledgeStrong understanding of:Anti-Money Laundering (AML)Fraud detection frameworksTransaction monitoring systemsRegulatory requirements (e.G., FATF, FINTRAC, global AML frameworks)Data & TechnologyExperience working with large-scale financial datasets and analytics platforms.Knowledge of data governance and risk data frameworks.LeadershipProven ability to lead analytics initiatives and manage cross-functional teams.Strong communication and stakeholder management skills.Preferred QualificationsExperience 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.EducationBachelor's or Master's degree in:Data ScienceStatisticsFinanceComputer ScienceMathematics or related fieldsWhy Join Infocodec SolutionsInfocodec 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 technologyCapital markets platformsAI and data-driven risk management solutionsEnterprise digital transformation #J-18808-Ljbffr

📌 Senior Manager – Financial Crimes Data Analytics (Ottawa)
🏢 Infocodec solutions
📍 Ottawa