IT Data Specialist (US)

TD Bank•Mount Laurel, NJ

12d•Onsite

About The Position

The IT Data Specialist provides technical leadership across a broad range of data analysis functions including data modeling, structured query language (SQL), data quality, data profiling, extract-transform-load (ETL), metadata enrichment and management, data provenance and lineage, report design and other specialized data management functions. Works independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in larger projects. 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 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.

Requirements

Undergraduate degree or Technical Certificate
5-7 years related experience

Nice To Haves

University degree, preferably in technology/ data engineering
Minimum of 5+ 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 5+ 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.

Responsibilities

Provides technical leadership across a broad range of data analysis functions including data modeling, structured query language (SQL), data quality, data profiling, extract-transform-load (ETL), metadata enrichment and management, data provenance and lineage, report design and other specialized data management functions.
Works independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in larger projects.
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.
Documents and manages the development of relevant data quality controls and business logic validations and checks for the feeds that are sent to FCRM systems.
Engages in cross team initiatives beyond your immediate project to modernize the technology and capabilities to align with the portfolio and enterprise technology roadmaps.