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About the Role

We are seeking an IT Data Specialist for our Financial Crime & Risk Management systems (Oracle - Transaction Monitoring and Customer Risk Rating solutions). You will engage in cross-team initiatives to modernize technology and capabilities, aligning with portfolio and enterprise technology roadmaps. The primary responsibility of our team is to design, develop, and maintain the technology platform that processes the bank's payments through behavior detection algorithms to detect suspicious and fraudulent activity.

Responsibilities

Design, develop, and implement data controls and processes to ensure data integrity from source to target.
Lead data initiatives within FCRM Technology, collaborating with multiple Business & Technology teams globally to comprehend business requirements, develop functional specifications, and create detailed solution plans.
Troubleshoot database and data pipeline issues efficiently.
Perform data profiling, root cause analysis, and analyze Source to Target Mappings documents/data dictionaries to identify data issue root causes and assist with implementing solutions.
Lead triage meetings globally and collaborate with stakeholders to determine fixes for identified data issues.
Automate manual data processing tasks and build scalable solutions.
Assess and improve existing documentation to ensure end-to-end processes are captured for traceability.
Collaborate with teams to integrate databases with applications and analytics platforms.
Collaborate with Technology development and testing teams to ensure all data transformation logics are adequately developed and tested.
Leverage analytical tools and develop 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.

Requirements

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.

Skills

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 mapping
SQL query optimization
Stored procedures
Database design
Python scripting
Automation
Data manipulation
Data governance process
Data integrity
Data quality controls
Business logic validations
PL/SQL
Azure Data Lake Storage (ADLS)
Azure Synapse Serverless SQL
Databricks SQL
PySpark
Pandas
Polars
Relational databases
NoSQL databases
Payments data
Settlement systems
Swift
ACH
Fedwire

Location

Toronto, Ontario, Canada

Work Type

Full-time

Experience Level

8 - 10 years of working experience in leading complex data projects
Minimum of 5-7 years of AML transaction monitoring experience
Minimum of 5 years of experience in data management
Minimum of 8 - 10 years of experience in PL/SQL

Education Level

University degree, preferably in technology/ data engineering

Salary/Compensations

$81,600 - $115,200 CAD

Benefits

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

About the Company

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.

Equal Opportunity

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.