Data Scientist (AML)

Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private clients, commercial banking, treasury, and retail banking. Introduction: Robertson is seeking a skilled Data Scientist (AML) to join our client in support of an existing vacancy. Employment Type: 6 months with potential to extend or convert Base Salary: Starting form $88 per hour Location: Markham, ON Location Type: Hybrid Business Hours: Monday-Friday, Core business hours Job Responsibilities: Work independently to provide analysis, design and support of technical data management solutions on various projects ranging in complexity and size Conduct data quality checks on raw or curated data on Oracle and Azure platforms Conduct activities related to customer segmentation, scenario Initial threshold setting and model performance monitoring Help maintain a structured documentation process to demonstrate an effective scenario review program to satisfy audit, compliance, and regulatory requirements Execute quality control procedures to review end-to-end interim monitoring solutions, identify gaps, and support future-state implementation activities Work with various business teams to help identify areas for improvement and provide insights using supporting data and models to support business strategies Experience & Qualification Requirements: Ideally master’s but experience can compensate ( computer science, data science and statistics or related) 8+ years of experience in Python and SQL required Advanced knowledge of query optimization, debugging, and automation Strong data exploration and analysis skills, with experience working with large-scale datasets Ability to apply statistical techniques and data mining tools to solve business problems Strong knowledge of and experience with data-driven or data-centric projects Experience with SAS, Informatica, Tableau, and other relevant data analytics tools AML knowledge How to Apply: If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson & the clients we represent, value diversity and are committed to creating an inclusive workplace. We invite all qualified individuals to apply. Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements. We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team. Robertson & the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment.

The role involves designing and supporting technical data management solutions and conducting data quality checks on Oracle and Azure platforms. Responsibilities include customer segmentation, scenario threshold setting, and maintaining documentation for audit and regulatory compliance.

Candidates should ideally hold a master's degree in computer science, data science, or statistics with over 8 years of experience in Python and SQL. Proficiency in data analytics tools like SAS, Informatica, and Tableau, along with AML knowledge, is required.

• Microsoft AzureSouhaitée
• SQLSouhaitée
• TableauSouhaitée
• Analyse de donnéesSouhaitée
• OracleSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• Data Analysis
• Query Optimization
• Statistical Techniques
• Data Mining
• SAS
• Informatica
• Tableau
• AML
• Oracle
• Azure
• Customer Segmentation
• Model Performance Monitoring
• Data Quality Checks
• Technical Data Management

• Data & Analytics
• Finance & Accounting
• Technology
• Software
• Consulting

Formation minimale

Maîtrise

Expérience minimale

10+ ans

Postuler avant le

3 oct. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte