IT - AML Developer IV
- Toronto, ON, Canada
Contract Period: 6 months with potential to extend or convert Pay Rate: Starting from $76 per hour Location: Toronto, ON Location Type: Hybrid Business Hours: Monday-Friday, Core business hours · Contract
Applications open in a new tab.
Job details
- Pay
- Contract Period: 6 months with potential to extend or convert Pay Rate: Starting from $76 per hour Location: Toronto, ON Location Type: Hybrid Business Hours: Monday-Friday, Core business hours
- Job type
- Contract
- Apply by
- Education
- Bachelor’s degree
- Posting language
- English
- Posted
Original job description
Introduction:
Robertson is seeking a skilled IT - AML Developer IV to join our client in support of an existing vacancy.
Contract Period: 6 months with potential to extend or convert
Pay Rate: Starting from $76 per hour
Location: Toronto, ON
Location Type: Hybrid
Business Hours: Monday-Friday, Core business hours
Job Responsibilities:
- Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
- Provide maintenance of transaction monitoring scenarios, and analytical queries in support of the bank's strategic efforts to mitigate money laundering and terrorist financing risk
- Conduct activities related to AML/ATF scenario performance tuning, machine learning execution and model performance monitoring
- Help maintain a structured documentation process to demonstrate an effective scenario review program to satisfy audit, compliance, and regulatory requirements
- With assistance from management, assist with transaction monitoring related issues/questions from Global AML members, audit, and other partners
- Analytical thought leadership and staying ahead of developments in data mining and the application of data science
- Partner with FCRM teams to implement changes to existing solutions and/or the implementation of alternative solutions and serve as an ambassador for data science
- Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, customer behavior, and risk scoring models
- Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you're doing
- Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
- Work with various business teams to help identify areas for improvement and provide insights using supporting data and models to support business strategies
- Bachelor’s degree required
- Extensive work experience building predictive models with machine learning methods
- Expert knowledge of Python, Pyspark, Data Bricks, Azure and SQL are essential
- Expert data explorations and analysis skills
- Ability to apply statistical techniques and data mining tools to solve business problem
- Any Data bricks, programming or statistics certifications
- Java, Scala, tableau
- AML knowledge and experience on data-driven or data-centered projects
- Banking or financial institution experience
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.
More about this job
Responsibilities
Lead the analysis, design, maintenance, and support of transaction-monitoring data solutions, scenarios, and analytical models to help mitigate money laundering and terrorist financing risks. Tune and monitor scenarios and models, support audit and compliance documentation, resolve stakeholder questions, and partner with business and FCRM teams to develop data-driven solutions.
Requirements
A bachelor's degree is required, along with extensive experience building predictive models using machine-learning methods and strong data exploration and analysis skills. Expert knowledge of Python, PySpark, Databricks, Azure, and SQL is essential; AML experience, financial institution experience, and Java, Scala, Tableau, or relevant certifications are also noted.
Skills
- Python
- PySpark
- Databricks
- Azure
- SQL
- Machine Learning
- Predictive Modeling
- Statistical Analysis
- Data Mining
- Transaction Monitoring
- AML/ATF
- Model Performance Monitoring
- Data Science
- Java
- Scala
- Tableau
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
Keywords
- Anti-Money Laundering
- Anti-Terrorist Financing
- Transaction Monitoring
- Predictive Modeling
- Machine Learning
- Statistical Techniques
- Data Mining
- Data Science
- Data Exploration
- Data Analysis
- Scenario Performance Tuning
- Model Performance Monitoring
- Python
- PySpark
- Databricks
- Azure
- SQL
- Java
- Scala
- Tableau
- Risk Scoring
- Customer Behavior Modeling
- Financial Services
- Regulatory Compliance
- Audit Documentation
- FCRM