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Associate Analyst / Analyst, Credit Bureau Operation
Bank Negara MalaysiaKuala Lumpur, Kuala Lumpur, Malaysia30+ hari lalu
Penerangan pekerjaanAnalyse 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 will be incorporated as part of existing report or specific white papers. 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. Develop effective statistical communication in conveying statistical information and insights to a wide range of audiences – targeted for internal users and public. Conduct statistical analysis / research with the application of relevant statistical methodology to improve data comprehensiveness and quality. Impute missing data points and forecast future trends through utilization of statistical models and data science techniques. Establish comprehensive business and functional requirements for the development / enhancement of the payment related statistical systems. Conduct comprehensive system testing to ensure all business and functional requirements are properly incorporated and the system can meet user requirements in an efficient manner. Monitor and provide support to REs' to ensure their compliance to requirements / guidelines of the Participation Agreement (particularly non-bank participating financial institutions), as well as to manage the onboarding of non-bank new participating FIs. Establish framework and standard procedures for the conduct of compulsory annual audit exercise by the identified REs. Act as first level support to assess and address credit data query / dispute received from internal users, REs and public. Academic Qualifications : Bachelor's degree Mathematics, Statistics, Data Science, Economics, Finance, Banking, Accounting, or equivalent. Experience : At least 2 years of working experience in data management or related fields or payment system management. A Malaysian citizen
ROLE PURPOSE
Conduct statistical analysis / research, establish business and functional requirements for the development / enhancement of the credit related statistical systems, as well as collect, compile and disseminate credible and timely credit 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.
PRINCIPAL ACCOUNTABILITIES
Efficient Data Management
- 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.).
- 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.
- Verify data at micro and macro levels to ensure data integrity and accuracy and undertake preemptive measures to address data issues.
- Identify problems / weaknesses in data management operations including system related matters, make recommendations and implement solutions to improve process efficiency and effectiveness.
- Draft or revise policy documents, data quality framework and operational procedures to document the latest reporting requirements and data management operations.
- 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.
Statistical Insights & Communication
Statistical Imputation & Forecasting
System Enhancement
Credit Bureau Function
Coach and supervise the team of support staff.
QUALIFICATIONS
ONLY SHORTLISTED CANDIDATES WILL BE SHORTLISTED
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