Responsibilities
DQ controls monitoring implementation across FM Data and Regulatory reporting
Within sprints, data profiling and analysis, discuss & develop solutions for user stories, groom the user stories with technical & QA team and ensure work focuses on those with maximum value that are aligned with product strategy
Provide backlog management, iteration planning, and elaboration of the user stories
Provide an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals
Coordinate and support testing, UAT and UVT.
Communicate with stakeholders on plan and progress of user stories
Design MI dashboard & report and demonstrate to stakeholders.
Responsible for end to end delivery of requirements.
Providing support during production release & high severity incident.
Qualifications：
6- 8 years of professional experience with at least 2 year of a focus on data analytics
Thorough knowledge of data quality with data profiling, big data technologies (Hadoop, Hive, NiFI, Spark)
Able to design MI dashboard using MI visualization tools (Tableau/Qlikview/Spotfire/SAS VA)
Ability to analyze data lineage, data quality governance, best practices for data quality resolution
Strong data analysis skills using SQL, and/or Tableau preferable
Proficient in Investment Banking products, Domain and Trade life cycle
Very good communication skills - a team player that enjoy interacting with people of all levels in a multicultural environment
Proven problem-solving Soft Skills – Communication, Teamwork and ability to manage relationships with multiple stakeholders
Experience in deliveries using Agile methodology
Demonstrable experience of working with multiple teams across locations
Working knowledge of data policy, data governance and data dictionaries is preferred
Has some experience in Regulatory reporting – MiFID, HKMA, EMIR etc is a plus.
knowledge in operating model design and implementation