Markham, On Thresholds program Jobs – 69 Openings This Week

Data Scientist / Data Engineer
GTT, LLC —Markham, ON
- $85–$100 an hour
- Overtime
- Azure
- Oracle
- Computer Science
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Process Incident & Problem Management
Scotiabank —Toronto, ON
- DevOps
- Analysis skills
- Software development
- Tuition reimbursement
Territory Account Manager
Kohl & Frisch Ltd —Concord, ON
- $75,000–$95,000 a year
- Up to 50% travel
- Salesforce
- Bachelor's
- Dental care
- Employee assistance program
Quick apply
Technical Support Analyst, Applications
Scotiabank —Toronto, ON
- On call
- Computer Science
- Engineering
- Analysis skills
- Tuition reimbursement
Digital Portfolio & Operations Lead
Manulife —Toronto, ON
- $125,100–$175,100 a year
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Microsoft Excel
- Business development
- Disability insurance
- Dental care
Associate Relationship Manager, Business Banking (Toronto/ GTA)
CIBC —Vaughan, ON
- Full-time
- Sales
- Finance
- Bachelor's
Corporate Development Manager (Toronto - Direct Hiring)
Elumini Outdoing IT —Toronto, ON
- Hybrid work
- Management
- Leadership
RQ00514 - Sr. Privacy Impact Assessment Specialist
Source Code —Toronto, ON
- Full-time
- Microsoft Excel
- Master's degree
- Analysis skills
Quick apply
Technology Delivery Lead
TD Bank —Toronto, ON
- $96,900–$136,800 a year
- Full-time
- Computer Science
- Engineering
- SQL
- Paid time off
11d
Cloud Performance Engineering - Site Reliability Engineer ( Remote Canada)
Smile Digital Health —Toronto, ON
- $110,000–$125,000 a year
- Full-time
- Remote
- Azure
- Java
- AWS
- Paid time off
- Employee assistance program
Senior Compliance Director – Payments & Digital Assets
OTT Financial Group —Toronto, ON
- $180,000–$260,000 a year
- Full-time
- Financial services
- Disability insurance
- Dental care
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Applied Data Scientist, Health AI Evaluation & Datasets
Innodata Inc. —Toronto, ON
- $210,000–$240,000 a year
- Remote
- Medicine
- Doctoral degree
- Computer Science
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8d
Bilingual Senior Manager, Client Finance Operations – Québec Clients
Burson Global —Toronto, ON
- Hybrid work
- Bilingual
- Marketing
- English
E&P Resiliency Management Specialist
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Presentation skills
- Continuous improvement
- Tuition reimbursement
- Life insurance
1d
Solutions Designer
Cisco Systems —Toronto, ON
- $202,400–$308,300 a year
- Full-time
- Hybrid work
- Bilingual
- Computer Science
- Sales
- Designated paid holidays
- Disability insurance
3d
Senior Manager, Data Products
Extendicare —Markham, ON
- Full-time
- Hybrid work
- Computer Science
- Engineering
- SQL
Quick apply
4d
Compliance Legal Counsel
Redpath Mining —Vaughan, ON
- $120,000–$140,000 a year
- Overtime
- Master's degree
- Analysis skills
- Communication skills
10d
Applied Data Scientist, Finance AI Evaluation & Datasets
Innodata Inc. —Toronto, ON
- $210,000–$245,000 a year
- Call to connect
- Remote
- Master's degree
- SQL
- No university degree
Quick apply
8d
User Experience, Report Design & Adoption Lead
TD Bank —Toronto, ON
- $96,900–$136,800 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
- Paid time off
2d
Platform Engineering, Senior Specialist
Interac Corp. —Toronto, ON
- $120,000–$150,000 a year
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering

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thresholds program jobs near markham, on

Data Scientist / Data Engineer

GTT, LLC -
Markham, ON

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Job details

Contract
$85–$100 an hour

Qualifications

Azure
Oracle
Data mining
Computer Science
SAS
Tableau
Finance
Master's degree
SQL
Statistical analysis
Analysis skills
C
Financial services
Informatica
Communication skills
Python
Debugging

Full job description

Data Scientist / Data Engineer

Location: Markham, ON

Onsite Flexibility: Hybrid 3 days a week in office (anchor day: Wednesday)

Contract Details

Position Type: Contract
Contract Duration: 6 months (with potential for extension and conversion to permanent)
Pay Rate: C$85.00 C$100.00 / Hour (CAD)
Shift / Schedule: Monday Friday, core business hours; overtime as needed
Travel Requirements: Not required

Job Summary

Reporting to the Senior Advanced Analytics Manager, the Data Scientist / Data Engineer will be conducting all analytical activities related to AML transaction monitoring systems. This role is best suited for someone with a blend of Data Engineering (60 70%) and Data Science (30 40%) skills. The focus is on Oracle migration, data quality, SQL/Python development, statistical analysis, and cross-functional collaboration, rather than machine learning. The team is supporting TD's migration from SAS-based systems to Oracle for AML/financial crime monitoring, and is looking for contractors to support this transformation project. Core Oracle migration and implementation work runs until April 2027, with interim monitoring work expected to be busiest until approximately October 2026, with ongoing support afterward. The hiring manager is looking for a full-stack data scientist who combines Data Science, Data Engineering, Data Quality, Data Exploration, and Statistical Analysis capabilities. The exact job title is not important candidates can come from Data Scientist, Data Engineer, or Data Analyst backgrounds if they have the right experience. Fast learners with strong technical fundamentals and migration experience will be highly competitive.

Key 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
Perform data quality validation, data cleansing, data stitching, and data integration
Build data engineering capabilities for combining multiple data sources
Support Oracle implementation (MVP 2) by validating data and preparing scenarios
Conduct transaction segmentation and initial threshold setting for AML monitoring scenarios
Monitor production performance, alert volumes, and suspicious transaction reports (STRs) after implementation
Analyze impacts when unusual alert patterns occur
Help develop and execute interim monitoring solutions while legacy systems are phased out
Collaborate with technology, project managers, business teams, and data teams

Required Skills

Expert-level proficiency in Python and SQL
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
Data engineering experience
Data quality and data transformation
Strong statistical knowledge (for segmentation and threshold setting)
Ability to learn quickly in a changing environment
Strong collaboration and communication skills, with the ability to engage cross-functional teams, discuss complex data issues, and present findings clearly
Proven ability to work effectively within large, collaborative teams and contribute as a strong team player
Excellent multi-tasking skills: ability to adapt to and manage changing priorities

Preferred Skills

Experience with SAS, Informatica, Tableau, and other relevant data analytics tools
AML knowledge
Oracle ECM experience (not expected because it's a niche platform)
Azure data pipeline experience
Informatica mapping knowledge
Data migration experience (strongly preferred)
Banking/financial services knowledge

Education Requirements

Master's degree in Computer Science or a related field is ideal; equivalent experience will be considered

Required Experience

5+ years of overall experience
5 years of experience with Python
5 years of experience with SQL
5 years of experience applying statistical techniques and data mining tools to solve business problems
5 years of data exploration and wrangling experience
5 years of experience in query optimization, debugging, and automation
5 years of experience working in large, data-driven batch environments

Nice-to-Have Experience

1+ year of AML experience
Experience with Tableau
Experience with SAS
1+ year of experience with Informatica
Financial institution (FI) background

Important Notes

Interview Process: Single panel interview consisting of a Python coding test, SQL coding test, statistics questions, a case study, and a technical discussion with the hiring manager and team; conducted in person in Markham
Machine learning model development is not part of this role at this time; ML knowledge is helpful but will not be used until Oracle implementation is complete
The contractor will have access to customer data

About the Client

This client is a top 10 bank in Canada and North America operating across retail, commercial, wealth management, and wholesale banking, with a presence spanning thousands of locations across North America and serving millions of clients in today's evolving financial market. Employing tens of thousands of professionals across its network, the organization offers comprehensive financial solutions at scale. Teams include data scientists, data engineers, financial crime risk specialists, technology professionals, and analytics managers who collaborate across large, cross-functional programs to support regulatory compliance, AML monitoring, and enterprise transformation initiatives.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-08008 Industry: Data & Analytics

#LI-GTT #LI-Onsite #gttca

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Data Scientist / Data Engineer

Contract Details

Job Summary

Key Responsibilities

Required Skills

Preferred Skills

Education Requirements

Required Experience

Nice-to-Have Experience

Important Notes

About the Client

About GTT