21 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 .

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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.

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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

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.

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Responsibilities

• 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 – 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.
• 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 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.
• Coach and supervise the team of support staff.

Job Requirements

• Academic qualification: 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.

Job Benefits

• EPF
• SOCSO
• Annual Leaves

#J-18808-Ljbffr

Responsibilities

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 – 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. 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 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. Coach and supervise the team of support staff. Job Requirements

Academic qualification: 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. Job Benefits

EPF SOCSO Annual Leaves

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Overview

LexisNexis Federal Territory of Kuala Lumpur, Malaysia

Data Analyst III role consults with internal stakeholders to understand problems, collect and analyze data to support data driven business decisions. This role uses data tools to collate, model, interpret, develop visualizations/information products, and communicate to the business. Specifically, individuals in this role will execute on projects/initiatives with high complexity independently. The role will be on shift hour ideally from 3PM to 12AM.

Responsibilities

• Solid understanding of best practices
• Executes on projects and initiatives independently
• Provides support to the analytics team members
• Begins to lead analytics effort with high complexity
• Partners with stakeholders to understand their business needs and to make suggestions for analysis and metrics to drive insights and recommendations
• Understands who the customers are and what is happening in the market with necessary commercial awareness
• Creates visual displays of data through selected tools and analytical packages
• Effectively lead and manage small/operational analytics projects

Qualifications

• Bachelors or Master Degree in Data Analytics/Data Science/Math or equivalent work experience
• Ability to understand complex data structure and to apply advanced blending and refinement techniques including big data and knows how to apply advanced data preparation and refinement techniques
• Experience with different visualizations tools such as Tableau or PowerBI
• Experience in intermediate statistics
• Basic knowledge of big data platforms
• Ability to present complex issues in simple and sophisticated insights
• Ability to combine visualizations from multiple sources to tell an effective and engaging story
• Knowledge of different project management approaches and lifecycles

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
• Life Assurance Policies: Providing financial security for your loved ones.
• Long Service Award: Recognition for your dedication and loyalty
• Access to Learning and Development Resources: Empowering your professional growth.

About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

#J-18808-Ljbffr

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

About the Role

The Data Analyst III role consults with internal stakeholders to understand problems, collect and analyze data to support data driven business decisions. This role uses data tools to collate, model, interpret, develop visualizations/information products, and communicate to the business. Specifically, individuals in this role will execute on projects/initiatives with high complexity independently. The role will be on shift hour ideally from 3PM to 12AM.

Responsibilities

• Solid understanding of best practices
• Executes on projects and initiatives independently
• Provides support to the analytics team members
• Begins to lead analytics effort with high complexity
• Partners with stakeholders to understand their business needs and to make suggestions for analysis and metrics to drive insights and recommendations
• Understands who the customers are and what is happening in the market with necessary commercial awareness
• Creates visual displays of data through selected tools and analytical packages
• Effectively lead and manage small/operational analytics projects

Qualifications:

• Bachelors or Master Degree in Data Analytics/Data Science/Math or equivalent work experience
• Ability to understand complex data structure and to apply advanced blending and refinement techniques including big data and knows how to apply advanced data preparation and refinement techniques
• Significant experience leveraging SQL for data querrying
• Experience with different visualizations tools such as Tableau or PowerBI
• Experience in intermediate statistics
• Basic knowledge of big data platforms
• Ability to present complex issues in simple and sophisticated insights
• Ability to combine visualizations from multiple sources to tell an effective and engaging story
• Knowledge of different project management approaches and lifecycles

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
• Life Assurance Policies: Providing financial security for your loved ones.
• Long Service Award: Recognition for your dedication and loyalty
• Access to Learning and Development Resources: Empowering your professional growth.

About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

#J-18808-Ljbffr