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Added 9 mins ago
EI
Electrical Engineer – Roadway Lighting Design
Egis in Canada
Toronto, ON
- $100,000 to $140,000 CAD / year
- Full-time
…certifications, experience, skills, geographic location, performance, and business or organizational…
Added 9 mins ago
UO
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- Full-time
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Added 9 mins ago
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Added 9 mins ago
HE
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Toronto, ON · Greater Toronto Area, Canada
- $40,000 to $46,000 CAD / year
- Full-time
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Added 9 mins ago
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- Full-time
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Added 9 mins ago
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Added 9 mins ago
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Event Marketing Representative
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- Full-time
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Added 9 mins ago
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Kelly

Senior Data Scientist – Python, PySpark & Databricks

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

$80 to $90 CAD / hour · Contract

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Job details

Pay: $80 to $90 CAD / hour
Job type: Contract
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Reporting to the Senior Advanced Analytics Manager, the Data Scientist will be conducting all analytical activities related to FCRM transaction monitoring systems.

•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.

MUST-HAVE Hard Skills:

1.) Extensive work experience building predictive models with machine learning methods.

2.) Expert knowledge of Python, Pyspark, Data Bricks, Azure and SQL are essential

3.) Expert data explorations and analysis skills

4.) Ability to apply statistical techniques and data mining tools to solve business problem

NICE-TO-HAVE

1.) Any Data bricks, programming or statistics certifications

2.) Java, Scala, tableau

3.) AML knowledge and experience on data-driven or data-centered projects

4.) Banking or financial institution experience

Apply About employer

More about this job

Responsibilities

Lead analytical work for financial crime transaction monitoring, including maintaining and tuning scenarios, building machine-learning and risk-scoring models, and monitoring model performance. Partner with business and compliance teams to develop data-driven solutions, provide analytical insights, and maintain documentation that supports audit and regulatory requirements.

Requirements

Requires extensive experience building predictive models with machine-learning methods and expert knowledge of Python, PySpark, Databricks, Azure, and SQL. Candidates should also have strong data exploration, statistical analysis, and data-mining skills; AML, banking, certifications, Java, Scala, and Tableau are listed as preferred or additional qualifications.

Skills

Python
PySpark
Databricks
Azure
SQL
Predictive Modeling
Machine Learning
Statistical Analysis
Data Exploration
Data Mining
Transaction Monitoring
AML/ATF
Model Performance Monitoring
Risk Scoring
Scenario Performance Tuning
Analytical Querying

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
Databricks
Azure
SQL
Java
Scala
Tableau
Machine Learning
Predictive Modeling
Statistical Techniques
Data Mining
Data Exploration
Data Analysis
Transaction Monitoring
Financial Crime Risk Management
AML
Anti-Terrorist Financing
Scenario Performance Tuning
Model Performance Monitoring
Risk Scoring
Customer Behavior Modeling
Analytical Queries
Data Management Solutions
Audit Compliance
Regulatory Requirements
Banking
Financial Services

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