Senior BI Developer; to build predictive models using Python, PySpark, Databricks, Azure
Toronto, Ontario, C6A, Canada
Listed on 2026-10-11
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IT/Tech
Data Analyst, Machine Learning/ ML Engineer, Data Scientist, Data Engineering
Our financial services client is seeking a Senior BI Developer (8+ years of experience) to build predictive models using Python, PySpark, Databricks, Azure, and SQL specific 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
, Py Spark , 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 SQL specific 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
, Py Spark , 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…
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