IT Data Specialist (US)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$86,840 - $130,000 USD

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.

Line of Business:

Technology Solutions

Job Description:

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 behavior detection algorithms to detect suspicious and fraudulent activity.

The experience aligned for this role would ideally have working experience in leading complex data projects and is extremely familiar with Data concepts, translating business requirements into Functional specifications, Data Controls, and reconciliation (including Data Quality and ETL controls), Data Exception Management process, Data sourcing and further mapping to various interface across our Financial Crime & Risk Management (FCRM) systems.

Experience understanding business needs, define data quality (DQ) requirements (validations, control checks) and the various business logic transformations to be done while sourcing data. We are in need of a subject matter expertise pertaining to the Anti Money Laundering domain and lead complex data initiatives for the team and experience with the DQ exception management processes and triage data quality issues with relevant stakeholders to remediate the same.

Meaningful work is fueled by meaningful performance and career development conversations with your manager. Here's some of what you may be asked to perform:

• Lead data initiatives within the FCRM team which requires extensive collaboration with multiple teams globally to gather business requirements on data and develop a tangible plan to execute these initiatives

• Lead business and technology discussions to develop Data Quality requirements and controls for FCRM systems

• Design data controls and develop processes to ensure data integrity from source to target, i.e., ensuring data being sourced meets the data quality standards that have been designed to ensure data is fit for FCRM purposes.

• Collaborate with the Technology development and testing teams to ensure all data transformation logics are adequately developed and tested across all required environments

• Independently analyze Source to Target Mappings documents, data dictionaries for root cause analysis and further business alignment.

• Design, develop new processes and/or streamline existing processes to ensure exceptions are captured and there is adequate governance on Exception Management.

• Lead triage meetings globally and collaborate with required stakeholders to determine fix for data issues identified.

• Independently perform data profiling and end-to-end Root cause analysis across Data Issues identified and work with respective stakeholders as a part of the DQ Exception Management Process to remediate DQ issues.

• Define metrics to measure the quality of data being obtained across source systems

• Independently assess and further improve existing documentation to ensure end-to-end processes performed by the team is captured for traceability purpose.

• Foster an environment and culture that encourages productivity, innovation, process improvement, teamwork, and a high level of professionalism.

Education & Experience:

• Undergraduate degree or Technical Certificate

• 5-7 years related experience

Preferred Qualifications :

• University degree, preferably in technology/ engineering

• Minimum of 12 years of experience in Data Issue - Exception Management, Root Ca