13 Statistics jobs in Kuala Lumpur

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

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

#J-18808-Ljbffr

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

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

Overview

Manager, Data Analysis (Malaysia, India)

Responsible for managing data analysis controls and operational risk processes related to the Client List Derivation. Focus on executing and updating controls, conducting root cause analysis, and communicating findings to stakeholders.

Responsibilities

• Execute and update the Key Control Indicator (KCI) / Control Sample Testing (CST) for the Client List Derivation process to minimise potential failures arising from operational risk events; perform root cause analysis on issues identified and communicate to the relevant process owners.
• Assist in designing and updating KCIs / CSTs to ensure potential failure points are adequately mitigated.
• Coordinate, drive, and direct effective operational risk management for the automated Client List Derivation process.
• Perform root cause analysis on issues and ensure timely communication to the respective process owner.
• Implement and monitor KCI / CST processes, sampling, testing, and recording of related activities; monitor Key Risk Indicators (KRIs).
• Enhance automated KCIs to remain effective and aligned with framework requirements; maintain proper records of KCI / CST activities.
• Identify, assess, mitigate, report, and escalate operational risk exposures; support the team in minimizing risk-related failures and investigate material issues to prevent recurrence.
• Identify new potential failure points and implement appropriate controls; coordinate exceptions and track risk issue resolutions.
• Identify weaknesses in control standards and ensure effectiveness of controls; assist with internal/external audits and provide timely information to stakeholders.
• Prepare risk-related metrics including trend analysis and dashboards.

Ideal Candidate / Qualifications

• 7+ years of banking/financial services experience
• University degree (preferred)
• Strong understanding of operational risk management within a banking environment
• Excellent analytical and problem-solving skills
• Strong background in customer due diligence (CDD) policies and procedures
• Team player with excellent communication, interpersonal and stakeholder management skills
• Practical, pragmatic, and capable of challenging the status quo
• Ability to work in a fast-paced environment and operate independently
• Advanced Excel skills and ability to automate functions
• Good English writing skills

Competencies

• Action Oriented
• Collaborates
• Customer Focus
• Gives Clarity & Guidance
• Manages Ambiguity
• Develops Talent
• Drives Vision & Purpose
• Nimble Learning
• Decision Quality
• Courage
• Instills Trust
• Strategic Mindset
• Technical Competencies: role-specific technical skills

About Standard Chartered

We’re an international bank, committed to responsible growth and making a positive difference for clients and communities. We value diversity and inclusion and seek individuals who bring unique talents to our teams.

What We Offer

• Competitive salary and benefits in line with our Fair Pay Charter
• Retirement savings, medical and life insurance with flexible benefits
• Generous time-off (annual leave, parental leave, sabbatical, volunteering leave) plus global public holidays
• Flexible working options based on location and role
• Wellbeing support, development courses, and Employee Assistance Programmes
• Learning culture with opportunities to reskill and upskill
• Inclusive, values-driven environment

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries: Banking

#J-18808-Ljbffr

Overview

Associate, Integrated Operations (Data Analysis) — Lazada, Kuala Lumpur, Malaysia

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.

Responsibilities

• 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.

Qualifications

• 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.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Analyst, General Business, and Strategy/Planning

Industries

• Internet Marketplace Platforms and Consumer Services

#J-18808-Ljbffr

Overview

Manager, Data Analysis (Malaysia, India) Responsible for managing data analysis controls and operational risk processes related to the Client List Derivation. Focus on executing and updating controls, conducting root cause analysis, and communicating findings to stakeholders. Responsibilities

Execute and update the Key Control Indicator (KCI) / Control Sample Testing (CST) for the Client List Derivation process to minimise potential failures arising from operational risk events; perform root cause analysis on issues identified and communicate to the relevant process owners. Assist in designing and updating KCIs / CSTs to ensure potential failure points are adequately mitigated. Coordinate, drive, and direct effective operational risk management for the automated Client List Derivation process. Perform root cause analysis on issues and ensure timely communication to the respective process owner. Implement and monitor KCI / CST processes, sampling, testing, and recording of related activities; monitor Key Risk Indicators (KRIs). Enhance automated KCIs to remain effective and aligned with framework requirements; maintain proper records of KCI / CST activities. Identify, assess, mitigate, report, and escalate operational risk exposures; support the team in minimizing risk-related failures and investigate material issues to prevent recurrence. Identify new potential failure points and implement appropriate controls; coordinate exceptions and track risk issue resolutions. Identify weaknesses in control standards and ensure effectiveness of controls; assist with internal/external audits and provide timely information to stakeholders. Prepare risk-related metrics including trend analysis and dashboards. Ideal Candidate / Qualifications

7+ years of banking/financial services experience University degree (preferred) Strong understanding of operational risk management within a banking environment Excellent analytical and problem-solving skills Strong background in customer due diligence (CDD) policies and procedures Team player with excellent communication, interpersonal and stakeholder management skills Practical, pragmatic, and capable of challenging the status quo Ability to work in a fast-paced environment and operate independently Advanced Excel skills and ability to automate functions Good English writing skills Competencies

Action Oriented Collaborates Customer Focus Gives Clarity & Guidance Manages Ambiguity Develops Talent Drives Vision & Purpose Nimble Learning Decision Quality Courage Instills Trust Strategic Mindset Technical Competencies: role-specific technical skills About Standard Chartered

We’re an international bank, committed to responsible growth and making a positive difference for clients and communities. We value diversity and inclusion and seek individuals who bring unique talents to our teams. What We Offer

Competitive salary and benefits in line with our Fair Pay Charter Retirement savings, medical and life insurance with flexible benefits Generous time-off (annual leave, parental leave, sabbatical, volunteering leave) plus global public holidays Flexible working options based on location and role Wellbeing support, development courses, and Employee Assistance Programmes Learning culture with opportunities to reskill and upskill Inclusive, values-driven environment Seniority level

Mid-Senior level Employment type

Full-time Job function

Information Technology Industries: Banking

#J-18808-Ljbffr

Huntsman Corporation is now looking for a dynamic individual as a Lead Data Scientist – Global Reporting & Analysis.

The Data Science Lead will collaborate with various business teams to apply suitable prescriptive and predictive models to solve complex problems, driving strategic decision-making. They will oversee the creation and implementation of advanced analytics models using technologies such as Python, R, and machine learning frameworks.

Additionally, they will mentor team members on data science best practices and promote collaboration and continuous learning within the Data Science community at Huntsman.

The ideal candidate will be based in Kuala Lumpur, Malaysia.

As a Lead Data Scientist – Global Reporting & Analysis you will:

Lead Data Science in FP&A: Oversee strategy reviews, best practice adoption, and identify gaps in current ML processes.
Advanced Modeling: Design, develop, and deploy predictive models and AI solutions to address business needs.
Team Leadership: Lead multiple Data Scientists and mentor team members on best practices.
AI Strategy: Drive strategy for AI applications and advanced analytics solutions.
Performance Evaluation: Evaluate and optimize data-driven products.
Project Management: Drive large cross-functional projects from ideation to implementation.
Collaboration: Work with engineers and other data scientists to integrate models into production systems.
Solution Design: Design and deploy data-driven solutions to improve business outcomes.
Continuous Learning: Stay current with advancements in data science and apply them to enhance capabilities.
Service Coordination: Coordinate with service providers and external resources for ML/AI solutions.
Community Leadership: Lead involvement in the Data Science Community of Practice.
Alignment: Ensure data projects align with organizational objectives.
Data Collection: Collect, cleanse, and ensure the quality and integrity of complex data sources for analytical modeling.
What skills and experiences are we looking for?

· Bachelor’s degree in a data science related field.

· Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field is preferred.

· Minimum 5-7 years of experience in data science.

· Experience developing machine learning models into full production.

· Strong expertise in ETL processes, data integration, and transformation.

· Proficiency in programming and statistical tools such as Python, R, SQL, SPSS, IBM CPLEX

· Experience with cloud platforms and big data technologies – Databricks, Azure, Spark, SAP (R4) and/or SAP (4HANA), IBM Planning Analytics

· Strong experience with data visualization tools (e.g., Tableau, Power BI).

· Experience working with business teams and within general business processes

· Experience in Manufacturing Industry

· Understanding of common business financial terms and metrics

· Experience with agile methodologies and project management tools.

· Familiarity with data governance and compliance standards.

· Excellent problem-solving skills and the ability to work with complex datasets.

· Strong communication skills, including the ability to present findings to non-technical stakeholders, facilitate discussions, deliver training, and manage time effectively.

· High initiative and creativity, with the ability to work independently and think strategically and technically.

· Leadership and mentoring experience, with a demonstrated ability to guide and develop junior team members and develop collaborative teamwork

· Detail-oriented with a commitment to delivering high-quality solutions.

· Strong understanding of data science concepts.

What can we offer?

Huntsman offers unsurpassed opportunities to build a successful future. We are a global specialty chemical company with locations in 25 countries around the world, employing over 6,000 associates. Our diverse portfolio creates a range of career fields including manufacturing, research and development, technical services, sales and marketing, customer service – and the list goes on.

Here, you can make an impact and make a difference. Come join us.

Huntsman is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunities (EEO) to all qualified applicants for employment, without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identification, sexual orientation and/or expression or any other characteristic protected by law in every location in which we have facilities national or local.

Please refer to for Company’s Data Privacy and Protection information.

All unsolicited resumes presented by recruitment agencies are treated as pro bono information or service.

Huntsman is aware of a scam involving fraudulent job offers. Huntsman does not make job offers until after a candidate has submitted a job application and has participated in a face-to-face interview. Please be advised that emails from Huntsman always end in “@huntsman.com” and that any job offer that requires payment or requires you to deposit a check is likely a scam. If you have questions about any open positions at Huntsman, please visit our Careers website at

#J-18808-Ljbffr