22 Statistics jobs in Kuala Lumpur

Overview

Associate, Pricing and Portfolio Management (Group Insurance) – to provide business underwriting and technical advisory services for New Business Pricing / Renewal Business Pricing / Reporting and to work towards team and departmental goals.

• Provide pricing quotations and technical advisory services to all distribution channels in timely manner and work within pricing parameters.
• Ensure timely management reports and external reports deliveries.
• Perform risk assessment to determine risk and potential business impact.
• Ensure Pricing and Reporting response within service standards.
• Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.
• Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.
• Highlights any potential concerns /risks and proactively shares best risk management practices.

• Bachelor Degree in Actuarial / Statistics / Mathematics
• Good interpersonal and communication skills, and with a good command of written and spoken English.
• High level of integrity, takes accountability of work and good attitude over teamwork.
• Takes initiative to improve current state of things and adaptable to embrace new changes.

• Champion and embody our Core Values in everyday tasks and interactions.
• Demonstrate high level of integrity and accountability.
• Take initiative to drive improvements and embrace change.
• Take accountability of business and regulatory compliance risks, implementing measures to mitigate them effectively.
• Keep abreast with industry trends, regulatory compliance, and emerging threats and technologies to understand and highlight potential concerns/ risks to safeguard our company proactively.

Founded in 1908, Great Eastern is a well-established market leader and trusted brand in Singapore and Malaysia. With over S$100 billion in assets and more than 16 million policyholders, including 12.5 million from government schemes, it provides insurance solutions to customers through three successful distribution channels – a tied agency force, bancassurance, and financial advisory firm Great Eastern Financial Advisers. The Group also operates in Indonesia and Brunei.

The Great Eastern Life Assurance Company Limited and Great Eastern General Insurance Limited have been assigned the financial strength and counterparty credit ratings of "AA-" by S&P Global Ratings since 2010, one of the highest among Asian life insurance companies. Great Eastern's asset management subsidiary, Lion Global Investors Limited, is one of the leading asset management companies in Southeast Asia.

Great Eastern is a subsidiary of OCBC, the longest established Singapore bank, formed in 1932. It is the second largest financial services group in Southeast Asia by assets and one of the world’s most highly-rated banks, with an Aa1 rating from Moody’s and AA- by both Fitch and S&P. Recognised for its financial strength and stability, OCBC is consistently ranked among the World’s Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

Associate Analyst/Analyst, Credit Bureau Operations, Data Management and Statistics Responsibilities

• 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 standards and significant developments affecting best practices in data compilation and continuously review current practices for improvement opportunities.
• Statistical Insights & Communication
• Analyse data trends 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 visualisations 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 the public.
• Statistical Imputation & Forecasting
• 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 financial institutions.
• 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 queries/disputes received from internal users, REs and the public.
• Coach and supervise the team of support staff.

• Academic qualification: Bachelor’s degree in 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.

• EPF
• SOCSO
• Annual Leaves

• Associate

• Full-time

• Finance

Job Responsibility

• 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
• Analyse data trend at individual entity, sector/industry, domestic and global settings to identify data patterns and significant developments affecting stakeholders, within subject area â 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 â targeted for internal users and public.
• Statistical Imputation & Forecasting
• 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.
• System Enhancement
• 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.
• Credit Bureau Function
• Monitor and provide support to REsâ 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.
• Coach and supervise the team of support staff.

Job Requirements

• Academic qualification: Bachelorâs 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.

Job Benefits

• EPF
• SOCSO
• Annual Leaves

Overview

HR & Talent Acquisition Professional | 7+ Years’ Experience | Open for New Roles

• Responsible for overseas mobile game business related security strategy development, operation, videos analysis, relevant statistical analysis and other work.

• 1. Bachelor's degree or above in computer science or related major, at least 1 year related working experience;
• 2. Proficiency in at least one development language (lua/python/c++), and familiarity with lua is preferred.
• 3. Experience in using linux, proficient in using python and sql for big data analysis and processing.
• 4. Solid basic computer knowledge, good coding ability, good problem location, analysis and solution ability.
• 5. Strong sense of responsibility, strong logical thinking ability, communication ability and pressure resistance ability.
• 6. Experience in using automation tools for data analysis is preferred.
• 7. Experience with FPS games such as "CODM" or "PUBGM", high-ranking players are preferred.

• Associate

• Contract

• Analyst and Engineering

• IT Services and IT Consulting

Location: Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Job Overview:

We are looking for a proactive Data Analysis/Data Science Intern to join our team. This role combines data analysis with server and system application responsibilities. The intern will set up a data warehouse, install and configure reporting solution for reporting dashboards, and assist in managing server-side applications to support data workflows. This is a unique opportunity to develop skills in both data science and system administration while contributing to impactful projects.

Work-Life:

• Conduct data analysis to extract insights from structured and unstructured datasets.
• Design and set up a data warehouse to centralize company data for efficient storage and retrieval.
• Install, configure, and maintain reporting solution on a server to enable report dashboard creation.
• Develop interactive dashboards and reports using reporting solution to meet business needs.
• Perform server-side tasks, including installing and managing system applications required for data processing and reporting.
• Ensure system performance and troubleshoot issues.
• Clean and preprocess data to ensure accuracy and consistency for analysis and reporting.
• Document data workflows, server configurations, and application setup processes.
• Collaborate with team members to support ad-hoc data analysis and system-related requests.

Requirements:

• Currently pursuing a degree in Data Science, Computer Science, Information Technology, or a related field.
• Basic knowledge of data analysis techniques and tools (e.g., SQL, Python, or R).
• Familiarity with server setup, system administration, or application installation (e.g., Linux basics, server management).
• Interest in or experience with data warehousing and ETL processes.
• Willingness to learn and configure open-source tools like Apache Superset.
• Strong problem-solving skills and a proactive approach to technical challenges.
• Ability to work independently and as part of a team.
• Good communication skills to document processes and present insights.
• Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI).
• Knowledge of server environments (e.g., Linux, Windows Server) and basic networking concepts.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud) for hosting data or applications.
• Exposure to scripting for automation (e.g., Bash, Python).
• Understanding of database management systems (e.g., MySQL, PostgreSQL).

What You'll Gain

• Practical experience in data analysis and creating actionable reports.
• Hands-on skills in setting up and managing a data warehouse and server applications.
• Mentorship from experts in data science and system administration.
• A chance to build a strong foundation in both analytical and technical domains.

About the Role

We are looking for a Data Analysis Engineer for one of the Top Tech Companies to support international mobile gaming business. You'll work on security strategy, player behavior analysis, and big data processing to deliver insights that drive better decisions and game operations.

Job Responsibilities

1. Analyze and process large-scale game data (Python/SQL)

2. Support security strategy and video/user behavior analysis

3. Provide data insights for business and operations teams

4. Collaborate across teams to solve problems and improve efficiency

What We're Looking For

Job requirements:

1. Bachelor degree or above in computer science or related major, at least 1 year related working experience;

2. Proficiency in at least one development language (lua/python/c++, etc.), and familiarity with lua is preferred;

3. Experience in using linux, proficient in using python and sql for big data analysis and processing;

4. Solid basic computer knowledge, good coding ability, good problem location, analysis and solution ability.

5. Strong sense of responsibility, strong logical thinking ability, communication ability and pressure resistance ability;

6. Experience with FPS games such as "CODM" or "PUBGM", high-ranking players are preferred.

Office is located in the CBD area (Menara 1 Sentrum), offering a modern and vibrant working environment. You'll have the opportunity to collaborate with top IT talents from around the world while working at the forefront of cutting-edge technology.