The QA Analyst will be responsible for analysing requirements, designing test scenarios, preparing test data, executing tests and providing evidence-based assurance across business-critical banking applications, focusing on Siebel CRM for commercial banking.
Compensation
competitive salary and substantial benefits
Responsibilities
Document and execute high-quality test plans for functional areas under development and enhancement.
Analyse business, functional and technical requirements and develop comprehensive test conditions, scenarios and test cases.
Create well-defined API test scripts that are fully traceable to requirements and acceptance criteria.
Execute functional, integration, regression and end-to-end testing activities.
Design positive, negative, boundary and error-condition test scenarios.
Requirements
Bachelor's Degree in Computer Science
Information Systems
Software Engineering
Nice to have: ISTQB Foundation Certification
Nice to have: Additional Quality Assurance or Testing certifications
Senior IAM Engineer responsible for designing, configuring, and managing SailPoint Identity Governance and Administration solutions across IIQ and ISC within Toyota Financial Services.
Responsibilities
Own end-to-end technical design and build of SailPoint solutions
Engineer identity lifecycle management including JML processes
Lead application onboarding and connector configuration
Build and maintain SailPoint customizations
Support migration from IIQ to ISC
Requirements
Bachelor’s degree in computer science, Information Security, or related field
The role is responsible for reviewing and optimizing current credit risk criteria for underwriting and offers, with focus on enhancing merchant performance, reducing losses, and increasing portfolio profitability.
Responsibilities
Review and optimize underwriting decision criteria, approval strategies, and offer structures to improve risk-adjusted performance and profitability
Analyze customer, merchant, and portfolio performance to identify growth opportunities, loss drivers, and emerging credit or fraud risks
Evaluate merchant-level performance, including approval rates, conversion rates, customer payment behavior, losses, and profitability trends
Develop data-based recommendations to enhance merchant outcomes while maintaining appropriate credit risk controls
Manage and refine line assignment strategies to ensure offers are appropriately aligned to customer risk, affordability, and profitability objectives
Requirements
Bachelor's degree in Finance, Economics, Statistics, Mathematics, Business, Data Analytics, or a related field
Supports TD's global AML/CTF strategies and emerging risks
Manages and prioritizes multiple projects
Collaborates with data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions
Requirements
Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
Graduate's degree preferred
Nice to have: Financial Crimes / Compliance Risk Analytics
Supports the FCRM Data Strategy and Management team in designing, implementing, and maintaining data management capabilities and controls aligned with Enterprise Data Management Office requirements.
Compensation
$96,900 - $136,800 CAD
Responsibilities
Design, implement and maintain data management processes and controls
Analyze, develop, validate and maintain end-to-end data lineage and data flows
Define, develop and implement business and technical data quality rules
Perform root-cause analysis of complex data issues
Perform data analysis, profiling, validation and reconciliation using SQL
Requirements
Undergraduate degree or equivalent relevant experience
This role supports the FCRM Data Strategy and Management team in designing, implementing, and maintaining data management capabilities and controls aligned with Enterprise Data Management Office (EDMO) requirements, focusing on data lineage, critical data elements, data quality, and SQL-based analysis.
Compensation
$96,900 - $136,800 CAD
Responsibilities
Design, implement and maintain data management processes and controls (e.g. data lineage, data supply chain, data quality controls, metadata, reference data, data retention and disposition etc.) for critical and business data elements.
Analyze, develop, validate and maintain end-to-end data lineage and data flows across source systems, databases, data pipelines, transformations, interfaces and downstream AML applications.
Analyze data structures across relational databases and data platforms to understand how data is sourced, processed and consumed.
Define, develop and implement business and technical data quality rules.
Perform root-cause analysis of complex data issues by tracing data across source systems, transformations and downstream applications.
Requirements
Undergraduate degree or equivalent relevant experience
As a Data Scientist II in Business Banking, you will be responsible for designing, developing, and delivering advanced analytics solutions that support data-driven decision making. You will collaborate closely with business owners, technology partners, and cross-functional teams to understand objectives, identify data needs, and deliver actionable insights.
Compensation
$81,600 - $115,200 CAD
Responsibilities
Leverage analytics, statistical modeling, machine learning, and data mining techniques to uncover insights, support data-driven decision-making, and optimize business outcomes.
Partner with business stakeholders to understand objectives, gather requirements, and translate business needs into analytical solutions.
Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and insights from large datasets.
Visualize insights from data to illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
Collaborate with other partners, such as AIML scientists, data and business analysts, and product owners to develop scalable solutions that retain long term benefit to the business.
Requirements
Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science)
Work closely with seniors in team on statistical data handling, data capture exercises, and stakeholder liaison.
Responsibilities
Attend meetings on industry updates on statistics and launch of survey exercises
Communicate any high level issues on Surveys to reporting line
Regular updates to High Level Management on the developments pertaining to Survey exercises
Liaison with different stakeholders in-house and externally
Project Lead and coordinate the data capture exercise for the Annual Balance of Payment Survey, Quarterly Monetary and Financial Statistics Survey and Half yearly CPIS Survey
Requirements
Nice to have: Knowledge of Global Business industry
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