Associate Analyst, Payments (JPS-SISCO), Data Management and Statistics

Bank Negara Malaysia; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

A leading financial institution is seeking an Associate Analyst in Payments to conduct statistical analysis and enhance payment-related systems. The role involves compiling data from financial entities, performing analysis, and communicating insights to support policy decisions. Candidates are expected to have a bachelor's degree in a relevant field and experience in data management.

Qualifications

• Minimum 2 years of experience in data management or related fields.
• Strong grasp of statistical programming and data analysis.
• Bachelor’s degree in a related field required.

Responsibilities

• Compile and analyse data for reporting compliance.
• Facilitate regulatory reporting by assisting reporting entities.
• Identify and quantify data integrity issues and propose solutions.

Skills

Statistical / computer programming language

Applied Statistics in Data Management

Data Analytics

Communication on Statistics

Education

Bachelor’s degree Mathematics, Statistics, Data Science, Economics, Finance, Banking, Accounting, or equivalent

Tools

R

Python

VBA

MS Office (Excel, Word, Powerpoint)

MS Power Platform

Job description

Associate Analyst, Payments (JPS-SISCO), Data Management and Statistics

and 1 more

Job Description

Conduct statistical analysis/research, establish business and functional requirements for the development/enhancement of the payment related statistical systems, as well as collect, compile and disseminate credible and timely payment 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.

Responsibilities

a. 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.).

b. 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.

c. Verify data at micro and macro levels to ensure data integrity and accuracy, and undertake pre-emptive measures to address data issues.

d. Identify problems/weaknesses in data management operations including system related matters, make recommendations and implement solutions to improve process efficiency and effectiveness.

e. Draft or revise policy documents, data quality framework and operational procedures to document the latest reporting requirements and data management operations.

f. 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 & Communication

a. 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 will be incorporated as part of existing report or specific white papers.

b. 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.

c. Develop effective statistical communication in conveying statistical information and insights to a wide range of audiences – targeted for internal users and public.

3.Statistical Imputation & Forecasting

a. Conduct statistical analysis/research with the application of relevant statistical methodology to improve data comprehensiveness and quality.

b. Impute missing data points and forecast future trends through utilization of statistical models and data science techniques.

a. Establish comprehensive business and functional requirements for the development/enhancement of the payment related statistical systems.

b. 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.

5. Coach and supervise the team of support staff.

Qualifications

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.
  

Technical skills:

• Statistical / computer programming language such as R, Python, VBA
• MS Office (Excel, Word, Powerpoint)
• MS Power Platform (Power BI, Power Apps, Power Automate, Power Query)

Statistical skills:

• Applied Statistics in Data Management
• Communication on Statistics
• Data Analytics (data science; statistical modelling and computation, forecasting and time-series analysis, natural language processing, artificial intelligence, etc.)
• Research Writing

Required Skills

Business Analytics Business Technology Data Engineering Data Governance Data Management Data Operations Data Science/ Statistical Analysis and Research Project Delivery & PMO Statistical Analysis and Research Strategic Relations Vendor Assessment & Procurement

Job Info

• Job Identification 217
• Job Category Corporate Management Group
• Posting Date 06/17/2025, 07:49 AM
• Apply Before 07/20/2025, 07:49 AM
• Degree Level Bachelor's Degree
• Job Schedule Full time