Key responsibilities include defining functional specifications validating data managing project lifecycles liaising between business and technical teams and ensuring compliance with regulatory standards. Strong analytical communication and problem-solving skills along with technical skills like SQL are essential for success in this role.
REFERENCE DATA EXP AT INVESTMENT BANKING IS MANDATORY
Key Responsibilities
Requirements Gathering:
Elicit and document business needs for reference data systems translating them into detailed functional and technical specifications for developers.
Data Analysis & Quality:
Perform data analysis to ensure the accuracy completeness and consistency of reference data identifying and resolving exceptions and inconsistencies.
System Design & Implementation:
Collaborate on the design development and implementation of reference data solutions and related processes.
Project Management:
Manage the project lifecycle for reference data initiatives including planning status reporting and stakeholder communication.
Liaison & Communication:
Act as a key point of contact between business stakeholders (front and back office) technical teams and developers.
Process Improvement:
Identify opportunities for process improvements and automation to enhance efficiency and data quality.
Regulatory Compliance:
Ensure reference data management practices comply with regulatory requirements and internal policies.
Documentation & Reporting:
Create and maintain project documentation user guides and status reports for various stakeholders.
Essential Skills
Data Analysis:
Proficient in analyzing data to identify trends issues and improvements often using tools like SQL Python or Excel.
Business Acumen:
Strong understanding of financial products trading activities and the data lifecycle.
Communication:
Excellent written and verbal communication skills for effectively conveying requirements and collaborating with diverse teams.
Problem-Solving:
Ability to conduct root cause analysis and develop effective solutions for data-related issues.
Technical Proficiency:
Familiarity with data modeling data governance and data management principles.
Project Management:
Experience in managing projects facilitating workshops and overseeing UAT.