16 Statistics jobs in Malaysia

The NUS High School is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position. Head of Department

in the following subject:

Math & Statistics We are looking for candidates who possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent) and · have a passion in the relevant teaching subjects and inspire students to love the subjects via teaching and role modelling · can participate and contribute to the planning, development and teaching of an integrated 6-year curriculum in the relevant teaching subjects · are effective within and outside the classroom, adopt innovative pedagogies such as IT-enabled learning, differentiated learning, collaborative learning and learner-focused interaction · can initiate and mentor research projects · are able to provide for the learning needs and character development of high-ability learners ranging from 12+ to 18 years of age Requirements: · A good Bachelor’s or higher degree in Mathematics/Applied Mathematics · Possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent) · Competent in teaching Mathematics at GCE O-Level and/or GCE A-Level H2 and/or H3 content · Driven and able to lead the department in designing, implementing and evaluating an integrated 6-year Math & Statistics curriculum · Able to collaborate with key personnel, stakeholders and external partners in curriculum innovation and strategic planning at the school level · Experience in curriculum and/or management work in secondary schools or junior colleges would be advantageous Employment Terms: 2-year contract, subject to renewal Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to

Only shortlisted candidates will be notified .

#J-18808-Ljbffr

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

#J-18808-Ljbffr

Manager, Payment, Data Management and Statistics Manager, Payment, Data Management and Statistics

Direct message the job poster from Bank Negara Malaysia

ROLE PURPOSE

Manage and supervise the collection, compilation and dissemination of 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. Lead statistical analysis/research, establishment of business and functional requirements for the development/enhancement of the payment related statistical systems.

PRINCIPAL ACCOUNTABILITIES

• Assume the role of technical expert and point of reference on reporting requirements, compilation methodologies, and operating procedures for the unit.
• Monitor and manage the operations of the unit to ensure timely and accurate submission of data by reporting entities, systematic data quality check and disseminate credible and coherent data to users, in accordance with international, national and bank-wide statistical standards and compliance requirements (EDG, ISMP etc.).
• Resolve problems/weaknesses in data management operations including system related matters, make recommendations and implement solutions to improve process efficiency and effectiveness.
• Review 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.

Statistical Insights

• Provide advisory, analytical support, value add to line departments in surveillance/ making policy recommendation/ decision arising from or impacting payment reporting, including new/ changes of reporting.
• Provide guidance and direction on analysis of 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.
• Provide expertise in generating meaningful data insights, including collaboration with line departments for presentation to senior management and policy platforms, through statistical methodologies and analytics.

Statistical Imputation & Forecasting

• Identify and drive relevant areas for statistical analysis/ research on relevant publication with the application of relevant statistical methodology to improve data comprehensiveness and quality.

Statistical Communication

• Plan and strategise effective statistical communication in conveying statistical information and insights to a wide range of audiences.
• Provide guidance on issues monitoring by the unit where payment data can be used to address public queries and collaborate with strategic communications of the Bank to dispel misconceptions or reinforce key messages.

System Enhancement: Monitor progress and deadlines to ensure

• Delivery of comprehensive business and functional requirements for the development/enhancement of the payment related statistical systems.
• Comprehensive system testing covering all business and functional requirements are properly incorporated and that the system is able to meet user requirements in an efficient manner.

Data advisory and advocacy.

• Lead and guide the promotion of data products and enterprise learning programs to facilitate greater data usage across the organization.
• Provide strategic oversight and guidance in delivering advisory and technical services to stakeholders, ensuring the effective utilization of payment data.
• Develop and implement strategic plans to proactively identify, recommend, and publish new or granular data items, supporting the Bank's open data initiatives and broader data-sharing goals.

Provide coaching and feedback to staff and identify training opportunities to help them develop their potential and further enhance their productivity. Plan and allocate appropriate resources based on the work volume to ensure fair distribution of work amongst officers in the Unit.

QUALIFICATIONS

• Academic qualifications: Degree in Mathematics, Statistics, Economics, Business, Finance, Banking, Accounting, Data Science or equivalent
• Experience: At least 5 years of working experience in central banking environment, with good working knowledge of data analysis and data compilation.

ONLY SHORTLISTED CANDIDATE(S) WILL BE NOTIFIED

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Quality Assurance

Referrals increase your chances of interviewing at Bank Negara Malaysia by 2x

Sign in to set job alerts for “Manager Data Management” roles.

Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Assistant Manager, Customer Promise - Medical Reimbursement & Accident

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 day ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 day ago

AI & Data - Data Scientist (GenAI), Experienced Hire

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 hours ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Executive, Customer Promise - Medical Reimbursement & Accident

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Interested applicants are invited to apply directly at the

NUS Career Portal Your application will be processed only if you apply via

NUS Career Portal We regret that only shortlisted candidates will be notified. Job Description

The successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation. The main responsibilities of the position include: • Methodology development • Implementation of the methods • Publication in journals and conferences • Presentation of work in conferences Qualifications

Qualifications / Discipline: PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields Skills: Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) Strong background in statistical modeling and machine learning Proven ability to develop and implement complex algorithms Excellent written and verbal communication skills Capable of conducting independent research and working collaboratively Experience: Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS) Demonstrated experience in developing novel methodologies in representation learning Strong record of presenting at international conferences and workshops

#J-18808-Ljbffr

Manager, Payment, Data Management and Statistics

Manager, Payment, Data Management and Statistics

Direct message the job poster from Bank Negara Malaysia ROLE PURPOSE Manage and supervise the collection, compilation and dissemination of 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. Lead statistical analysis/research, establishment of business and functional requirements for the development/enhancement of the payment related statistical systems. PRINCIPAL ACCOUNTABILITIES Assume the role of technical expert and point of reference on reporting requirements, compilation methodologies, and operating procedures for the unit. Monitor and manage the operations of the unit to ensure timely and accurate submission of data by reporting entities, systematic data quality check and disseminate credible and coherent data to users, in accordance with international, national and bank-wide statistical standards and compliance requirements (EDG, ISMP etc.). Resolve problems/weaknesses in data management operations including system related matters, make recommendations and implement solutions to improve process efficiency and effectiveness. Review 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. Statistical Insights Provide advisory, analytical support, value add to line departments in surveillance/ making policy recommendation/ decision arising from or impacting payment reporting, including new/ changes of reporting. Provide guidance and direction on analysis of 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. Provide expertise in generating meaningful data insights, including collaboration with line departments for presentation to senior management and policy platforms, through statistical methodologies and analytics. Statistical Imputation & Forecasting Identify and drive relevant areas for statistical analysis/ research on relevant publication with the application of relevant statistical methodology to improve data comprehensiveness and quality. Statistical Communication Plan and strategise effective statistical communication in conveying statistical information and insights to a wide range of audiences. Provide guidance on issues monitoring by the unit where payment data can be used to address public queries and collaborate with strategic communications of the Bank to dispel misconceptions or reinforce key messages. System Enhancement: Monitor progress and deadlines to ensure Delivery of comprehensive business and functional requirements for the development/enhancement of the payment related statistical systems. Comprehensive system testing covering all business and functional requirements are properly incorporated and that the system is able to meet user requirements in an efficient manner. Data advisory and advocacy. Lead and guide the promotion of data products and enterprise learning programs to facilitate greater data usage across the organization. Provide strategic oversight and guidance in delivering advisory and technical services to stakeholders, ensuring the effective utilization of payment data. Develop and implement strategic plans to proactively identify, recommend, and publish new or granular data items, supporting the Bank's open data initiatives and broader data-sharing goals. Provide coaching and feedback

to staff and identify training opportunities to help them develop their potential and further enhance their productivity. Plan and allocate appropriate resources based on the work volume to ensure fair distribution of work amongst officers in the Unit. QUALIFICATIONS Academic qualifications: Degree in Mathematics, Statistics, Economics, Business, Finance, Banking, Accounting, Data Science or equivalent Experience: At least 5 years of working experience in central banking environment, with good working knowledge of data analysis and data compilation. ONLY SHORTLISTED CANDIDATE(S) WILL BE NOTIFIED Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Quality Assurance Referrals increase your chances of interviewing at Bank Negara Malaysia by 2x Sign in to set job alerts for “Manager Data Management” roles.

Federal Territory of Kuala Lumpur, Malaysia 1 week ago Assistant Manager, Customer Promise - Medical Reimbursement & Accident

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 day ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 day ago AI & Data - Data Scientist (GenAI), Experienced Hire

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 hours ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Executive, Customer Promise - Medical Reimbursement & Accident

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

• Analyze business data to interpret business reports, trends and provide suggestions for Management and Head of Department (HOD)
• Drive data remediation projects with existing team.
• Using data driven approach to identify business drivers which can lead to revenue growth and increased profitability.
• Develop visualization and presentation for dissemination of analytical results and derivation of actionable insights.
• Define and optimize marketing automation strategy and build customer segments to facilitate marketing targeting.
• Perform root cause analysis, fix data quality issues and provide ongoing reports.
• Create and maintain optimal data pipeline architecture including assembling large complex data sets to be ready for data analytics.
• Manage database and CRM data, solving any problem during analysis and implementation with Japan Headquarter and HOD.
• Communicate report findings/business insights to business stakeholders through meaningful dashboard/data visualization tools.
• Coordinate with different functional teams to implement models, while monitoring and analyzing model performance and data accuracy.
• Work collaboratively with key departments and Manager in delivering high quality analytics support to management and other stakeholders using statistical and analytical skills and tools.
• Ensure initiatives are aligned with policies and standard operating protocols.

#J-18808-Ljbffr

Responsibilities

As a Data Analysis Specialist I you will responsible for projects and acts as a liaison between the Business and the application development teams. She/He contributes to the different phases of the application life cycle, such as data modeling, maintenance, support and enhancements. Moreover, the Data Analyst responsibilities consist of:

• Identifying and analyzing business needs
• Conducting requirements gathering, and defining scope and objectives
• Making recommendations for solutions or improvements to business processes that can be accomplished through new technology or alternative uses of existing technology.
• Translating business requirements into application requirements
  
  

Key Responsibilities

Business Skills

• Ability to rapidly assimilate information and processes related to one or several tracks within the Data & Analytics
• Capacity to understand, analyze and depict high level architecture or solutions to turn data to insight.
• Knowledge and experience in gathering requirements, functional design, testing and working with business processes.
• Understanding of how IT affects an organization and ability to link it to redesigned business processes.
  
  

Technical Skills

• Utilize data analysis tools and programming languages (e.g., SQL) to manipulate and analyze data.
• Develop and maintain dashboards, reports, and data visualizations.
  
  

Project Management Skills

• Assist in project planning and coordination for data analysis initiatives.
• Track and report on project progress, ensuring that timelines and objectives are met.
  
  

Interpersonal Skills

Data Analyst, Analyst II is an individual contributor is responsible for tasks within a specific domain, focusing on their individual work:

• Networks with other PPG Analysts to understand how IT solutions are deployed in other areas to solve business problems.
• Foster and maintain good relationships with customers and IT colleagues to meet expected customer service levels.
• Share responsibility with other team members to ensure on-time product delivery, which require a clear understanding of expectations and capabilities as well as the ability to act effectively as a team member.
  
  

Qualifications

• Bachelor's Degree, Post Graduate Diploma, Professional Degree, Computer Science/Information Technology or equivalent.
• 0-2 years of IT or a related discipline experience. Outstanding fresh graduates are welcome.
• Analytical and conceptual skills
• Strong oral and written communication skills, including technical writing.
• Must have a strong systems and process orientation.
• Must be comfortable working remotely and lack of face-to-face time with colleagues and managers.
  
  

PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply.

Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

About Us

Here at PPG we make it happen, and we seek candidates of the highest integrity and professionalism who share our values, with the commitment and drive to strive today to do better than yesterday – everyday.

PPG: WE PROTECT AND BEAUTIFY THE WORLD

Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit and follow @ PPG on Twitter.

The PPG Way

Every Single Day At PPG

We partner with customers to create mutual value.

We are “One PPG” to the world.

We trust our people every day, in every way.

We make it happen.

We run it like we own it.

We do better today than yesterday – everyday.

PPG provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, sexual orientation, gender identity or expression. If you need assistance to complete your application due to a disability, please email

PPG values your feedback on our recruiting process. We encourage you to visit Glassdoor.com and provide feedback on the process, so that we can do better today than yesterday.

Benefits will be discussed with you by your recruiter during the hiring process. #J-18808-Ljbffr

As a Data Analysis Specialist I you will responsible for projects and acts as a liaison between the Business and the application development teams. She/He contributes to the different phases of the application life cycle, such as data modeling, maintenance, support and enhancements. Moreover, the Data Analyst responsibilities consist of:

• Identifying and analyzing business needs
• Conducting requirements gathering, and defining scope and objectives
• Making recommendations for solutions or improvements to business processes that can be accomplished through new technology or alternative uses of existing technology.
• Translating business requirements into application requirements

Key Responsibilities

Business Skills

• Ability to rapidly assimilate information and processes related to one or several tracks within the Data & Analytics
• Capacity to understand, analyze and depict high level architecture or solutions to turn data to insight.
• Knowledge and experience in gathering requirements, functional design, testing and working with business processes.
• Understanding of how IT affects an organization and ability to link it to redesigned business processes.

Technical Skills

• Utilize data analysis tools and programming languages (e.g., SQL) to manipulate and analyze data.
• Develop and maintain dashboards, reports, and data visualizations.

Project Management Skills

• Assist in project planning and coordination for data analysis initiatives.
• Track and report on project progress, ensuring that timelines and objectives are met.

Interpersonal Skills

Data Analyst, Analyst II is an individual contributor is responsible for tasks within a specific domain, focusing on their individual work:

• Networks with other PPG Analysts to understand how IT solutions are deployed in other areas to solve business problems.

• Foster and maintain good relationships with customers and IT colleagues to meet expected customer service levels.
• Share responsibility with other team members to ensure on-time product delivery, which require a clear understanding of expectations and capabilities as well as the ability to act effectively as a team member.

Qualifications

• Bachelor's Degree, Post Graduate Diploma, Professional Degree, Computer Science/Information Technology or equivalent.
• 0-2 years of IT or a related discipline experience. Outstanding fresh graduates are welcome.
• Analytical and conceptual skills
• Strong oral and written communication skills, including technical writing.
• Must have a strong systems and process orientation.
• Must be comfortable working remotely and lack of face-to-face time with colleagues and managers.

PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply.

Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

About us:

Here at PPG we make it happen, and we seek candidates of the highest integrity and professionalism who share our values, with the commitment and drive to strive today to do better than yesterday – everyday.

PPG: WE PROTECT AND BEAUTIFY THE WORLD
Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit and follow @ PPG on Twitter.

The PPG Way
Every single day at PPG:
We partner with customers to create mutual value.
We are “One PPG” to the world.
We trust our people every day, in every way.
We make it happen.
We run it like we own it.
We do better today than yesterday – everyday.

PPG provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, sexual orientation, gender identity or expression. If you need assistance to complete your application due to a disability, please email

PPG values your feedback on our recruiting process. We encourage you to visit Glassdoor.com and provide feedback on the process, so that we can do better today than yesterday.
Benefits will be discussed with you by your recruiter during the hiring process. #J-18808-Ljbffr

Data Analysis Associate (Integrated Operations)

The Integrated Operations Team is responsible for the strategic planning, execution, and continuous improvement of our core seller programs. Additionally, the team holds ownership of the commercial team’s quarterly target setting and performance management processes, while also administering incentive computations for the commercial team. Furthermore, the team operates the Commercial Academy—a dedicated initiative that designs and deploys soft- and hard-skill training programs to enhance workforce capabilities.

Job Description:

• Analyze and enhance business strategies using data, optimizing resources across various teams, like sales operations, seller programmes.

• Lead our commercial target-setting process to guide business growth effectively, Create and maintain dashboards to keep track of key performance indicators.

• Work with Business Intelligence and Data Product teams to ensure our data is accurate and actionable for key stakeholders.

• Spot trends and opportunities in seller program design for improvements and maintain strong governance of financial viability.

• Monitor seller performance and provide insights to refine seller programs and optimise KAM incentive distributions according the efficient seller target setting process.

• Conduct targeted analyses to solve unique business challenges, offering data-driven solutions. Provide strategic insights to leadership on sales operations, including incentives and profitability models.

• Collaborate with Seller Engagement and Sales Operations teams to manage seller communications and inquiries.

Job Requirements:

• Bachelor’s Degree in Business Management or related field.

• At least 3-4 years of experience in Data Analytics, Business Intelligence, or commercial operations (e-commerce, consulting, or retail).

• Strong communication and interpersonal skills; you thrive in teamwork settings.

• Quick learner who adapts well to changing environments and priorities.

• Solid analytical abilities, especially with Excel; familiarity with data tools such as SQL is a plus but not mandatory.

• Organized, detail-oriented, and self-motivated. Project management experience is a bonus.

Unlock job insights

Salary match Number of applicants Skills match

Your application will include the following questions:

Which of the following statements best describes your right to work in Malaysia?

Computer Software & Networking More than 10,000 employees

Founded in 2012, Lazada Group is the leading eCommerce platform in Southeast Asia. We are accelerating progress in Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam through commerce and technology. With the largest logistics and payments networks in the region, Lazada is a part of our consumers’ daily lives in the region and we aim to serve 300 million shoppers by 2030. Since 2016, Lazada is the Southeast Asia flagship platform of the Alibaba Group powered by its cutting-edge technology infrastructure.

Founded in 2012, Lazada Group is the leading eCommerce platform in Southeast Asia. We are accelerating progress in Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam through commerce and technology. With the largest logistics and payments networks in the region, Lazada is a part of our consumers’ daily lives in the region and we aim to serve 300 million shoppers by 2030. Since 2016, Lazada is the Southeast Asia flagship platform of the Alibaba Group powered by its cutting-edge technology infrastructure.

Researching careers? Find all the information and tips you need on career advice.

#J-18808-Ljbffr