Description
This project underpins the organization's global sanctions compliance strategy by building robust data pipelines and automation tools that feed into risk assessment models. The goal is to ensure timely, accurate, and efficient data processing for compliance reporting, enabling the business to meet stringent regulatory obligations and mitigate financial risk.
Key Responsibilities
- Build and maintain automated data pipelines using Python and SQL.
- Extract, clean, and transform data from multiple sources for ingestion into risk assessment tools.
- Document scripts and workflows to ensure compliance and audit readiness.
- Collaborate with analysts and compliance officers to align technical outputs with regulatory requirements.
- Conduct testing and validation of data processes to maintain accuracy and reliability.
Qualifications (Must-Haves)
- Bachelor's or Master's degree in Data Science, Computer Science, Risk Management, or related field.
- Minimum 2 years of experience in data analysis, automation, or technology roles.
- Advanced Python programming skills (including Pandas) for automating data pipelines and risk tools.
- Proficiency in SQL for ETL processes, including extracting, transforming, and loading data from multiple sources.
Nice to Haves
- Familiarity with sanctions compliance, financial risk, or regulatory frameworks.
- Experience with Dataiku and Tableau for data preparation and visualization.
- Understanding of data governance principles and best practices.
- Ability to manage project lifecycle from design to deployment and monitoring.
- Experience creating and executing test cases and scripts based on business requirements.
- Intermediate to advanced Excel skills (complex formulas, pivot tables).
- Strong documentation and analytical writing skills.
- Proven stakeholder management and ability to deliver under tight deadlines.
- Self-starter with excellent organizational skills.
Skills
Python, Pandas, Data, Analytics, SQL, Data analysis, Power BI, Sanctions, AML, Compliance.
Additional Skills & Qualifications
- Strong problem-solving skills and ability to troubleshoot complex data issues.
- Excellent communication skills to explain technical concepts to non-technical stakeholders.
Experience Level
Experience in financial services or compliance preferred. Intermediate Level.
Job Type & Location
Contract position based out of Toronto, ON.
Pay And Benefits
The pay range for this position is $30.00 - $40.00/hr.
Workplace Type
Hybrid position in Toronto, ON.
Equal Opportunity Employer
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.