Job Title: Python/SAS Developer – AML

URGENT ROLES!!!

Location: Toronto, ON (Hybrid – 3 days per week in office)

Client: Leading Direct Banking Institution

Position Overview: Our client, a prominent direct banking institution, is seeking a highly experienced Python/SAS Developer with a strong background in Anti-Money Laundering (AML) for a hybrid role. The ideal candidate will have a deep understanding of SAS programming, AML monitoring systems, and data management processes in a financial services environment.

Key Responsibilities:

• Design, develop, and implement SAS/Python programs to support AML monitoring systems and processes.
• Work closely with data analysts, business teams, and compliance officers to understand AML requirements and deliver solutions.
• Enhance and maintain existing AML systems, ensuring regulatory compliance and data accuracy.
• Analyze large datasets to identify suspicious transactions and patterns using advanced SAS techniques.
• Produce detailed reports and documentation related to AML investigations and findings.
• Collaborate with cross-functional teams to improve and optimize data flows and reporting processes.
• Stay updated on the latest AML regulations and SAS/Python technologies to ensure systems remain compliant and efficient.

Qualifications:

• Proven experience as a SAS/Python Developer in the financial services industry, particularly with AML applications.
• Strong proficiency in SAS Base , SAS SQL , and SAS Macros .
• Solid understanding of Anti-Money Laundering (AML) regulations, compliance frameworks, and transaction monitoring processes.
• Experience with large-scale data processing and analysis, specifically within a banking or financial institution.
• Familiarity with data visualization tools and the ability to present findings clearly.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication skills, with the ability to translate technical concepts for non-technical stakeholders.
• Experience with SAS AML solutions or similar AML platforms (preferred but not required).

Education & Experience:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (preferred).
• Minimum 5 years of hands-on experience working with SAS and Python, ideally in the AML or financial crime prevention domain.
• Previous experience working in a direct banking environment or AML-specific projects would be a plus.

Work Environment:

• Hybrid role: 3 days a week in-office at the Toronto location.
• Competitive compensation based on experience.
• Opportunity to work in a collaborative and innovative environment within a leading financial institution