Description

  • Review, analyze, and resolve data quality issues within Investment Management (IM) data architecture. 

     
  • Support implementation of data governance frameworks, particularly in line with BCBS 239 standards. 

     
  • Coordinate data onboarding from internal and external sources into central repositories. 

     
  • Collaborate with data owners to define data quality rules; work with IT to strengthen data quality controls. 

     
  • Analyze business processes and data flows to identify areas for re-engineering and efficiency gains. 

     
  • Engage with stakeholders to prioritize and address data-related business needs. 

     
  • Document functional and business requirements for data-related initiatives. 

     
  • Support change management and participate in UAT activities. 

     
  • Identify and escalate data issues promptly. 

     
  • Contribute to broader initiatives under the Data & Analytics Group (DAG). 

     

Required Skills: 
 

  • Strong ability to work with business and technical teams to understand data flows and usage. 

     
  • Proficient in data analysis and tracing data lineage. 

     
  • Experience working in cross-functional and virtual team environments. 

     
  • Independent thinker with strong team collaboration skills. 

     
  • Effective problem-solver and self-starter with multitasking capabilities. 

     
  • Excellent communication and stakeholder engagement skills. 

     

Key Qualifications: 
 

  • In-depth domain knowledge of investment banking and financial services data. 

     
  • 3–10 years of experience in financial services, especially investment management. 

     
  • Strong SQL skills for data profiling and analysis. 

     
  • Familiarity with coding (Python preferred). 

     

Experience with BI tools such as Tableau and Power BI is preferred

Education

Any Gradute