Senior BI Developer (8+ years of experience) to build predictive models using Python, PySpark, Databricks, Azure, and SQL specific to AML 58791

Senior BI Developer (8+ years of experience) to build predictive models using Python, PySpark, Databricks, Azure, and SQL specific to AML 58817

Our financial services client is seeking a Senior BI Developer (8+ years of experience) to build predictive models using Python, PySpark, Databricks, Azure, and SQLspecific to AML - 58817

Join a data science team supporting transaction monitoring and risk mitigation initiatives within a banking environment. This role focuses on machine learning, model development, AML/ATF scenario tuning, and analytical solutions supporting operational efficiencies and monitoring requirements. The position offers exposure to exploratory analytics work and long-term project opportunities across FCRM initiatives. The team environment is collaborative and supports ongoing knowledge transfer and project ownership.

Contract, Toronto, 3 days in office, 2 days work from home (could potentially go to 4 days in office)

6 months

Must Haves

• 8+ years building predictive models using machine learning methods
• Expert-level Python , PySpark , Databricks, Azure, and SQL
• Advanced data exploration and data analysis skills
• Application of statistical techniques and data mining tools to solve business problems
• Bachelor’s degree or higher in Statistics, Computer Science, or Software Engineering

Nice to Have

• Databricks, programming, or statistics certifications
• Java, Scala, Tableau
• AML knowledge and experience on data-driven or data-centered projects
• Banking or financial institution experience

Responsibilities

• Build and maintain transaction monitoring, customer behavior, and risk scoring models using statistical and machine learning techniques
• Conduct AML/ATF scenario performance tuning, machine learning execution, and model performance monitoring
• Provide maintenance of transaction monitoring scenarios and analytical queries supporting money laundering and terrorist financing risk mitigation
• Analyze, design, and support technical data management solutions across projects of varying complexity
• Partner with FCRM teams to implement changes to existing solutions and alternative solutions
• Support transaction monitoring related issues and questions from AML teams, audit, and internal partners
• Work with business teams to identify improvement opportunities and provide insights using supporting data and models

Our financial services client is seeking a Senior BI Developer (8+ years of experience) to build predictive models using Python, PySpark, Databricks, Azure, and SQLspecific to AML - 58817

Join a data science team supporting transaction monitoring and risk mitigation initiatives within a banking environment. This role focuses on machine learning, model development, AML/ATF scenario tuning, and analytical solutions supporting operational efficiencies and monitoring requirements. The position offers exposure to exploratory analytics work and long-term project opportunities across FCRM initiatives. The team environment is collaborative and supports ongoing knowledge transfer and project ownership.

Contract, Toronto, 3 days in office, 2 days work from home (could potentially go to 4 days in office)

6 months

Must Haves

• 8+ years building predictive models using machine learning methods
• Expert-level Python , PySpark , Databricks, Azure, and SQL
• Advanced data exploration and data analysis skills
• Application of statistical techniques and data mining tools to solve business problems
• Bachelor’s degree or higher in Statistics, Computer Science, or Software Engineering

Nice to Have

• Databricks, programming, or statistics certifications
• Java, Scala, Tableau
• AML knowledge and experience on data-driven or data-centered projects
• Banking or financial institution experience
• Master’s degree

Responsibilities

• Build and maintain transaction monitoring, customer behavior, and risk scoring models using statistical and machine learning techniques
• Conduct AML/ATF scenario performance tuning, machine learning execution, and model performance monitoring
• Provide maintenance of transaction monitoring scenarios and analytical queries supporting money laundering and terrorist financing risk mitigation
• Analyze, design, and support technical data management solutions across projects of varying complexity
• Partner with FCRM teams to implement changes to existing solutions and alternative solutions
• Support transaction monitoring related issues and questions from AML teams, audit, and internal partners
• Work with business teams to identify improvement opportunities and provide insights using supporting data and models

Disclaimer:

AI may be used in evaluating candidates.

This posting is for an existing vacancy.