Associate Analyst/Analyst, Cash BOP, Data Management and Statistics

Conduct statistical analysis/research, establish business and functional requirements for the development/enhancement of Cash Balance of Payments (BOP) related statistical systems, as well as collect, compile and disseminate credible and timely Cash BOP statistics to facilitate surveillance, compliance analysis, policy formulation, in accordance with statutory and stakeholders’ requirements and international, national and bank-wide compilation/ dissemination standards and methodologies.

 

1. Efficient Data Management:
   
   
   
   1. Compile data from reporting entities (REs) i.e. Financial and selected Non-Financial Institutions in accordance with international, national and bank-wide statistical standards and compliance requirements (EDG, ISMP etc.);
   
   
   2. Facilitate REs to meet regulatory reporting requirements, as mandated in the relevant acts and guidelines, in accordance with stipulated deadlines, by effectively communicating reporting requirements, clarifications and guidance to REs to ensure reporting integrity via training materials or engagements with REs;
   
   
   3. Verify data at micro and macro levels to ensure data integrity and accuracy, and undertake preemptive measures to address data issues;
   
   
   4. Identify problems/weaknesses in data management operations including system related matters, make recommendations and implement solutions to improve process efficiency and effectiveness;
   
   
   5. Draft or revise policy documents, data quality framework and operational procedures to document the latest reporting requirements and data management operations; 
   
   
   6. Keep abreast with the latest developments on international and national statistical standard and significant developments affecting best practices in data compilation and continuously review current practices for improvement opportunities.
   
   


2. Statistical Insights:
   
   
   
   1. Analyse data trend at individual entity, sector/industry, domestic and global settings to identify data patterns and significant developments affecting stakeholders, within subject area – the outcome willbe incorporated as part of existing report or specific white papers.
   
   
   2. Generate meaningful data insights, including thematic write-ups/papers or visualisation to be presented to senior management and policy platforms, through statistical methodologies and analytics.
   
   


3. Statistical Imputation & Forecasting:
   
   
   
   1. Conduct statistical analysis/research on suitable statistical methodology to improve data comprehensiveness and quality; 
   
   
   2. Fill missing data points and forecast future trends through utilisation of statistical models and machine learning.
   
   


4. Statistical Communication and Engagements:
   
   
   
   1. Develop effective statistical communication in conveying statistical information and insights to a wide range of audiences – targeted for internal users and public.
   
   
   2. Communicate and engage with external stakeholders through collaborative/ roundtable discussionsfor various statistical initiatives to support organizational goals and priorities.
   
   


5. System Enhancement:
   
   
   
   1. Establish comprehensive business and functional requirements for the development/enhancement of the Cash BOP statistical systems;
   
   
   2. Conduct comprehensive system testing to ensure all business and functional requirements are properly incorporated and that the system is able to meet user requirements in an efficient manner.
   
   


6. Data advisory and advocacy:
   
   
   
   1. Facilitate greater data usage through promotion of data products and enterprise learning programs.
   
   
   2. Provide advisory and technical services to stakeholders where required to support use of Cash BOP data.
   
   
   3. Proactively identify and recommend new or granular data items for general publication to support the open data initiatives by the Bank.
   
   


7. Coach and supervise the team of support staff.

• Academic Qualifications: Degree in Mathematics, Statistics, Economics, Business, Finance, Banking, Accounting, or equivalent.


• Experience: At least 2 years of working experience, preferably with a demonstrated ability in data management and interest in External Sector Statistics.