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
Lead Product Manager for AI Platform at Global Payments, responsible for strategy, roadmap, and adoption of a shared AI foundation across product and engineering teams.
Implementation Specialist responsible for leading e‑invoicing software implementation, configuration, and client support for Thomson Reuters global clients.
Responsibilities
Act as a specialist in a large, cross‑functional software implementation team
Work directly with global clients to understand implementation requirements
Run product demonstrations and deliver end‑user and super‑user training
Configure the software to meet client requirements
Work with client data in XML and CSV formats, including reviewing, mapping, transforming and validating files
The Data Coordinator supports FYI+'s data-driven culture and quality improvement work by collecting, checking, analyzing, and reporting data across our programs.
Locations (2)
Las Cruces, New Mexico, United States
New Mexico, United States
Compensation
Salary: $50,000 - $60,500 (3 levels based on experience and education)
Responsibilities
Collect and enter data in the EHR, Excel, SPARS, and other platforms following Data Manager standards
Run routine validation checks for accuracy, completeness, and consistency, and follow up with staff to fix errors
Flag system problems and recommend improvements and automation opportunities
Build standardized and ad-hoc reports using Excel, Google Sheets, and BI tools such as Power BI or Tableau
Prepare data for CCBHC payers, state agencies, Medicaid, and funders
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