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Added 2 mins ago
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Sr. IT Data Analyst

Toronto, ON, Canada

$81,600 - $115,200 CAD · Full-time

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Job details

Pay: $81,600 - $115,200 CAD
Job type: Full-time
Apply by: Dec 31, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

Line of Business:

Technology Solutions

Pay Details:

$81,600 - $115,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Additional Job Description

Department Overview:

Residing within Enterprise Protect organization, the Financial Crime & Risk Management (FCRM) Technology team is responsible for the delivery and support of technology solutions for the respective FCRM business unit. Given the ongoing pace of regulatory change and ongoing importance of risk management, this is a fast-growing area within the bank translating into considerable demand and growth within its technology teams.

Job Description:

About This Role

We are looking for an IT Data Specialist for our Financial Crime & Risk Management systems (Oracle - Transaction Monitoring and Customer Risk Rating solutions). You will have the opportunity to engage in cross team initiatives beyond your immediate project to modernize the technology and capabilities to align with the portfolio and enterprise technology roadmaps.

The primary responsibility of our team is to design, develop and maintain the technology platform that processes the banks payments through behaviour detection algorithms to detect suspicious and fraudulent activity.

The open role is for a person who has 8 - 10 years of working experience in leading complex data projects and is extremely familiar with Data concepts, translating business requirements into Functional specifications, Implementing Data Controls (including Data Quality and ETL controls), Investigating data issues across the data pipeline, Data Exception Management process, Data sourcing and further mapping to various interface across our Financial Crime & Risk Management (FCRM) systems.

The ideal candidate should also have good experience in SQL query optimization, stored procedures, and database design while also being proficient in Python scripting, automation, and data manipulation.

The ideal candidate will be part of the team that designs and maintains the data governance process to ensure data integrity is adhered to when payment and reference data information is sent to the FCRM systems. This also involves documenting and managing the development of relevant data quality controls and business logic validations and checks for the feeds that are sent to FCRM systems.

Meaningful work is fueled by meaningful performance and career development conversations with your manager. Here are some of the tasks that you may be asked to perform:

Design, develop and Implement data controls and develop processes to ensure data integrity from source to target is met, i.e., ensuring data sourced meets the data quality standards designed.
Lead data initiatives within the FCRM Technology which require extensive collaboration with multiple Business & Technology teams globally to comprehend business requirements, develop respective functional specifications and detailed solution plan to execute these data initiatives.
Troubleshoot database and data pipeline issues efficiently.
Independently, perform data profiling, root cause analysis, and analyze Source to Target Mappings documents/data dictionaries to identify root cause of data issues and assist with implementing solutions post alignment with Business and Technology stakeholders.
Lead triage meetings globally and collaborate with required stakeholders to determine fix for data issues identified.
Automate manual data processing tasks and build scalable solutions.
Independently assess and further improve existing documentation to ensure end-to-end processes performed by the team are captured for traceability purposes.
Collaborate with teams to integrate databases with applications and analytics platforms.
Collaborate with the Technology development and testing teams to ensure all data transformation logics are adequately developed and tested across lower environments.
Leverage analytical tools and develop required metrics to measure the quality of data obtained across source systems.
Foster an environment and culture that encourages productivity, innovation, process improvement, teamwork, and a high level of professionalism.

Job Requirements:

What can you bring to TD? Share your credentials, but your relevant experience and knowledge can be just as likely to get our attention. It helps if you have:

University degree, preferably in technology/ data engineering
Minimum of 5-7 years of AML transaction monitoring experience, preferably with large banks
Minimum of 5 years of experience in data management (Hands-on experience in data profiling, designing, and developing data controls / Data quality rules across the data pipeline, Developing, and analyzing Source to Target mapping documents, Performing root cause analysis across data issues)
Minimum of 8 - 10 years of experience in PL/SQL, including query optimization, stored procedures, and indexing (Preferably in Oracle based tools)
Proven ability to run complex analytical queries directly against Azure Data Lake Storage (ADLS) using distributed query engines such as Azure Synapse Serverless SQL, Databricks SQL etc.
Hands-on experience reading, writing, and transforming data in ADLS using PySpark, Pandas or Polars to perform data wrangling at scale.
Experience with relational databases (PostgreSQL, MySQL, SQL Server, Oracle) and NoSQL databases (MongoDB, Redis, etc.)
Excellent understanding of payments and data coming from settlement systems including the flow of funds, payment messaging formats such as Swift and systems such as ACH, Fedwire etc.
Must be comfortable working in different time zones (SG, IN & US) as there would be an overlap with Singapore and India teams.
Strong people skills with demonstrated ability to forge strong relationships with key business partners, understand financial markets and regulation and apply analytics to drive commercial value

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

Design, develop, and maintain technology platforms for financial crime and risk management, ensuring data integrity across payment processing pipelines. Lead complex data initiatives by collaborating with global teams to translate business requirements into functional specifications and scalable solutions.

Requirements

Requires a university degree in technology or data engineering and 5-10 years of experience in data management and AML transaction monitoring. Proficiency in PL/SQL, Python, and big data tools like Azure Data Lake is essential for this role.

Skills

Data analysis
SQL
Python
Oracle
Data governance
ETL
Data quality
AML transaction monitoring
Azure Data Lake Storage
PySpark
Pandas
Polars
Database design
Data profiling
Root cause analysis
Payment systems

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
Financial Crime
Risk Management
Oracle
Transaction Monitoring
Data Governance
ETL
SQL
Python
Automation
Data Profiling
Azure Data Lake Storage
Azure Synapse
Databricks
PySpark
Pandas
Polars
PostgreSQL
MySQL
MongoDB
Redis
Swift
ACH
Fedwire
Data Integrity
Functional Specifications
Root Cause Analysis
Data Wrangling
Compliance
Regulatory Change

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