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Data Quality Lead Analyst

2 months ago

Tampa, United States Motion Recruitment Full time

Grow your career as a Data Quality Lead Analyst with an innovative global bank. Contract role with strong possibility of extension. Will require working a hybrid schedule 2-3 days onsite per week.

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. Will be responsible for driving data architecture to deliver front to back design, identify gaps, and implement a robust governance framework across ICG. Will be focusing on Data Quality including Completeness, Accuracy and Timeliness across data flows. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Contract Duration: 12+ Months

Required Skills & Experience

Bachelor’s/University degree/Master's degree 8+ years of experience in data-focused initiatives across Pre-Trade/Post-Trade activities such as RFQ, Order/Executions, Trades, MTM, Positions, etc. 5+ years of experience in writing SQL queries and reviewing stored procedures. Exposure to Capital Markets is beneficial. Experience working with Database, Reporting/Analytics. Proven stakeholder management and team leadership skills. Data and Results oriented with excellent attention to detail. Strong sense of urgency and ability to manage competing priorities while delivering results quickly and efficiently. Exceptional level of motivation and diligence coupled with excellent communication skills (verbal and written), as well as strong relationship building skills. Desired Skills & Experience Experience in FIX, XML messaging Experience in Issue tracking and governance with systems like JIRA / HPQC What You Will Be Doing Leadership within data analyst team involved in data quality initiatives spanning ICG and global functions. Working with cross functional teams to develop, test, implement and maintain data quality rules covering the trade life cycle across Markets data. Analyzing data quality exceptions to identify root cause and business impact for data quality issues raised. Enhancing data quality process automation, governance, and reporting. Preparing and presenting written and verbal updates to senior management. Ensuring adherence to best practices supporting the company's Program, Project, and Data Management Standards