IT - AML Developer IV - Markham

Randstad Canada; Markham; Hybrid; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work model

Hybrid onsite days in Markham

Job summary

Randstad Canada seeks a senior IT - AML Developer IV in Markham, ON, to design and optimize AML transaction monitoring systems. The role blends data science, analytics engineering, and data management across Oracle and Azure, with heavy SQL and Python work in large-scale batch environments.

You will translate complex analyses into business insights, while maintaining robust documentation and regulatory compliance.

Qualifications

• 8+ years in data science, software dev, or data engineering with AML exposure.
• 5+ years crafting complex SQL queries in large batch environments.
• 5+ years Python for data analysis and automation.

Responsibilities

• Lead end-to-end design and tech data management for AML transaction monitoring.
• Perform data quality checks across Oracle and Azure platforms.
• Develop, optimize, and automate SQL queries and Python data pipelines.
• Document processes and support regulatory, audit, and compliance needs.
• Collaborate with cross-functional teams to improve processes with data models.

Skills

SQL

Python

Data wrangling

Analytics engineering

AML domain knowledge

Education

Master’s or higher in CS/Data Science/Statistics

Tools

Oracle

Azure

SAS

Informatica

Tableau

Job description

We are seeking a highly accomplished IT - AML Developer IV for an enterprise-level contract opportunity based in Markham. In this role, you will take on a premier data science, analytics engineering, and technical data management capacity, specializing in building and optimizing transaction monitoring systems within complex anti-money laundering (AML) environments.

As a senior AML developer, you will bridge the gap between advanced data science, large-scale data wrangling, and regulatory compliance. Operating within a hybrid work model, you will conduct data quality assessments across cloud and relational database platforms, engineer customer segmentation models, execute scenario threshold settings, and automate data pipelines. This position demands a technical data authority with extensive SQL and Python expertise who can analyze massive datasets, debug complex queries, and deliver data-driven insights to support business strategies.

Location: Markham, ON

Assignment Type: Hybrid (3 days per week onsite)

Contract Duration: 6-month contract (with potential for extension or conversion)

Advantages

• Advanced Analytics Scope: Build transaction monitoring solutions using Python, SQL, and statistical data mining techniques.
• Dual-Platform Exposure: Work across enterprise Oracle and Microsoft Azure data environments.
• Complex Data Wrangling: Process and optimize large-scale batch datasets for segmentation and scenario modeling.
• Hybrid Work Flexibility: Enjoy a balanced work model with predictable onsite anchor days in Markham.

Responsibilities

• Perform end-to-end analysis, design, and technical data management for anti-money laundering transaction monitoring systems.
• Execute rigorous data quality checks on raw and curated datasets across Oracle and Azure platforms.
• Conduct data mining, customer segmentation, scenario threshold setting, and model performance monitoring.
• Develop, optimize, debug, and automate complex SQL queries and Python data pipelines within large-scale batch environments.
• Maintain structured documentation and audit trails to support compliance, regulatory, and audit requirements.
• Execute quality control procedures to evaluate interim monitoring solutions, identify coverage gaps, and support future-state implementations.
• Partner with cross-functional business and technical teams to identify process improvements using supporting data models.
• Translate complex analytical findings into actionable business insights and present results to internal and external partners.

Qualifications

Core Technical Requirements

• Professional Experience: Minimum 8+ years of overall technical experience in data science, software development, or data engineering.
• SQL Mastery: Minimum 5+ years of hands-on experience writing, optimizing, and debugging complex SQL queries within large batch environments.
• Python Proficiency: Minimum 5+ years of active development experience using Python for data analysis and automation.
• Data Wrangling & Analytics: Minimum 5+ years of experience in data exploration, data wrangling, data mining, and applying statistical techniques to solve business problems.
• Education: Post-secondary degree or diploma in Computer Science, Data Science, Statistics, or a related field (Master’s degree preferred).

Preferred Experience & Assets

• AML Domain Knowledge: Prior experience supporting Anti-Money Laundering (AML) transaction monitoring systems or financial crime detection.
• Enterprise BI & ETL Tools: Hands-on experience with SAS, Informatica, or Tableau is considered a strong asset.
• Financial Services Context: Background working within large data-driven financial institutions.

Soft Skills & Delivery Attributes

• Communication & Collaboration: Strong verbal and written communication skills to articulate technical data findings clearly to cross-functional stakeholders.
• Multi-Tasking & Teamwork: Exceptional organizational skills to manage competing priorities and collaborate effectively within multi-disciplinary teams.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [e-mail] to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.