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

explicit 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

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