Data Quality Developer - AML

the Client•Mount Laurel, NJ

1d•Remote

About The Position

Reporting to the Risk Reporting Senior Manager for the Enterprise Protect Risk Factory, the candidate will be a member of a high performing team of Technology and Risk professionals utilizing personal experience and knowledge of Business Intelligence expertise. This role is responsible for ensuring data quality, building analytics tools and reports, and supporting risk management initiatives through automation and stakeholder engagement.

Requirements

Prefer to have a strong AML background.
5 years of experience in data analysis, or reporting in a financial or risk-focused environment.
Proficiency in SQL, Excel.
Experience with Python, (or similar visualization tools), Jira, and Confluence.
Preferred knowledge of financial industry's technology controls and security risk issues.
Strength in prioritizing and managing your own workload to deliver quality results and meet timelines with limited guidance of management.
Demonstrated ability to participate in complex, comprehensive or large projects and initiatives.
Business/technology experience with experience collaborating with others in highly matrix, cross-functional environment.
Problem solver with ability to work independently.
Must have strong attention to detail.
Ability to manage multiple efforts simultaneously, strong project management, reporting, and organizational skills.
Degree in computer science or related field required.
8 years of overall experience required.
5 years of experience in data analysis, or reporting in a financial or risk-focused environment.

Nice To Haves

Power BI, Tableau

Responsibilities

Be a part of the risk assessment team.
Develop and maintain data quality scripts to support the data requirements from enterprise risk assessment stakeholders.
Maintain regular communication with cross-functional teams to support continuous improvement and data integrity.
Work with 2nd Line of Defense on all challenges as required.
Engaging Enterprise Protect stakeholders and data providers, validating the quality and integrity of the data and results of metrics included in all reporting end to end.
Supporting change awareness activities, providing expertise on KRI design, developing materials and supporting ongoing data analysis requests.
Demonstrate expert knowledge of all data sources and data lineage for the reporting data mart(s) with a strong understanding of how these data sources are utilized for reporting purposes.