Job Description

Data Scientist- SAS/AML/Banking

• Date Posted Jan 21, 2026
• Location Toronto, ON
• Job Type Contract
• Job ID 19130

Are you passionate about leveraging data to combat financial crime and enhance banking security? Apply Now!
Working with one of our top financial clients, this role calls for a Data Scientist specializing in SAL/AML and banking environments, responsible for developing advanced analytical models and supporting critical compliance initiatives. The position offers an exciting opportunity to work on multiple projects that directly impact anti-money laundering and fraud mitigation efforts, utilizing cutting-edge tools and techniques within a dynamic team.
Responsibilities

• Design, develop, and maintain analytical models for transaction monitoring, customer behavior profiling, and risk scoring to support anti-money laundering (AML) and anti-terrorism financing (ATF) initiatives.
• Collaborate with cross-functional teams to translate business requirements into effective data-driven solutions.
• Use statistical, machine learning, and AI techniques to optimize AML scenario performance and detection capabilities.
• Maintain comprehensive documentation of models, algorithms, and processes for audit and compliance purposes.
• Support the tuning and validation of AML detection scenarios, ensuring high accuracy and efficiency.
• Assist in identifying insights and opportunities from data to enhance strategic decision-making within banking and compliance functions.
• Manage multiple projects simultaneously, prioritizing deliverables and maintaining high-quality standards.

Desired Skill-Set

• Proven experience as a Data Scientist with at least 3 years of relevant work in financial services or related sectors.
• Strong skills in data modeling, analysis, and business intelligence.
• Proficiency in SAS, SQL, and Python programming.
• Experience with transaction monitoring and AML process optimization.
• Ability to manage multiple projects efficiently.
• Excellent communication skills to collaborate with diverse teams.

Nice to Have

• Oracle database experience.
• Prior AML or fraud & compliance experience.
• Banking industry knowledge.
• SAS AML-specific expertise.
• Python scripting skills.

BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled.
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