394 Data Professional jobs in Malaysia

Overview

Data Strategy & Governance - Consultant - Tech Strategy & Advisory

Join to apply for the Data Strategy & Governance - Consultant - Tech Strategy & Advisory role at Accenture Southeast Asia .

About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. With 492,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at

About Capability Network: Accenture Strategy shapes our clients’ future by combining deep business insight with the understanding of how technology will impact industry and business models. Our Capability Network includes approximately 3,000 consultants providing specialized and strategic industry and functional consulting expertise globally. Our teams complement in-country delivery to provide measurable value to clients around the world. For more information visit

Responsibilities

• Identifying, assessing, and solving complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors
• Overseeing the production and implementation of solutions covering multiple cloud technologies, associated infrastructure / application architecture, development, and operating models
• Apply a solid understanding of Data, Data on cloud and disruptive technologies
• Implementing programs/interventions that prepare the organization for implementation of new business processes
• Assisting clients to build the required capabilities for growth and innovation to sustain high performance
• Managing multi-disciplinary teams to shape, sell, communicate, and implement programs
• Experience in participating in client presentations and/orals for proposal defense
• Experience in effectively communicating the target state, architecture and topology on cloud to clients
• Deep understanding of industry best practices in data governance and management
• Provide thought leadership to downstream teams for developing offerings and assets

Qualifications

• Master’s in Business Administration preferred
• Graduation degree in Technology-based subject or Engineering with strong academic background
• Certified on DAMA (Data Management)

Experience

• Minimum of 4-7 years large-scale consulting experience and managing teams in a consulting environment or at high-tech companies
• Experience with information strategy, data governance, data quality, data management, and MDM across the innovation spectrum
• Practical industry expertise in Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources

Key Competencies and Skills

• Data SME — experience in deal shaping, strong presentation skills, leading proposals, customer orals; technical understanding of data platforms, data on cloud strategy, data strategy, data operating model, data transformation program change management, data modeling skills
• MDM / DQ / DG Architect — data governance & management SME for data quality, MDM, metadata, data lineage, data catalog; experience with Collibra, Talend, Informatica, SAP MDG, Stibo, Alteryx, Alation, etc.
• Exceptional interpersonal and presentation skills; ability to convey technology and business value propositions to senior stakeholders
• Capacity to develop high-impact thought leadership articulating a forward-thinking market view

Other Desired Skills

• Strong desire to work in technology-driven business transformation
• Strong knowledge of technology trends across IT and digital and how they apply to real-world problems
• Ability to convey both high-level and detailed information to address varying audiences
• Leading proof of concept and/or pilot implementations and planning for scaling across multiple technology domains
• Willingness to travel as required by the client
• Published thought leadership whitepapers, POVs

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Overview

Data Strategy & Governance - Consultant - Tech Strategy & Advisory Join to apply for the

Data Strategy & Governance - Consultant - Tech Strategy & Advisory

role at

Accenture Southeast Asia . About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. With 492,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Capability Network: Accenture Strategy shapes our clients’ future by combining deep business insight with the understanding of how technology will impact industry and business models. Our Capability Network includes approximately 3,000 consultants providing specialized and strategic industry and functional consulting expertise globally. Our teams complement in-country delivery to provide measurable value to clients around the world. For more information visit Responsibilities

Identifying, assessing, and solving complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the production and implementation of solutions covering multiple cloud technologies, associated infrastructure / application architecture, development, and operating models Apply a solid understanding of Data, Data on cloud and disruptive technologies Implementing programs/interventions that prepare the organization for implementation of new business processes Assisting clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Experience in participating in client presentations and/orals for proposal defense Experience in effectively communicating the target state, architecture and topology on cloud to clients Deep understanding of industry best practices in data governance and management Provide thought leadership to downstream teams for developing offerings and assets Qualifications

Master’s in Business Administration preferred Graduation degree in Technology-based subject or Engineering with strong academic background Certified on DAMA (Data Management) Experience

Minimum of 4-7 years large-scale consulting experience and managing teams in a consulting environment or at high-tech companies Experience with information strategy, data governance, data quality, data management, and MDM across the innovation spectrum Practical industry expertise in Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources Key Competencies and Skills

Data SME — experience in deal shaping, strong presentation skills, leading proposals, customer orals; technical understanding of data platforms, data on cloud strategy, data strategy, data operating model, data transformation program change management, data modeling skills MDM / DQ / DG Architect — data governance & management SME for data quality, MDM, metadata, data lineage, data catalog; experience with Collibra, Talend, Informatica, SAP MDG, Stibo, Alteryx, Alation, etc. Exceptional interpersonal and presentation skills; ability to convey technology and business value propositions to senior stakeholders Capacity to develop high-impact thought leadership articulating a forward-thinking market view Other Desired Skills

Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they apply to real-world problems Ability to convey both high-level and detailed information to address varying audiences Leading proof of concept and/or pilot implementations and planning for scaling across multiple technology domains Willingness to travel as required by the client Published thought leadership whitepapers, POVs

#J-18808-Ljbffr

Overview

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is early in the career and offers hands-on exposure to data engineering tasks, ML workflows, and the opportunity to contribute to analytics and model development.

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a history of innovations in Flash and memory technologies, our solutions are at the heart of the digital world and we have the power to shape it. We balance manufacturing capabilities with an industry-leading portfolio recognized globally for innovation, performance, and quality. Sandisk has facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations and as Sustainability Lighthouses for breakthroughs in efficient operations. We ensure the global supply chain has access to the Flash memory it needs to keep the world moving forward.

Job Description

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.

Responsibilities

• Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.


• Perform exploratory data analysis (EDA) from different data sources and identify the best variables for fault detection, prediction and Run-to-Run modelling setup.


• Set up ETL pipelines for data integration from different sources to databases.


• Assist in implementing basic machine learning models (e.g., regression, classification) under guidance.


• Monitor data quality and support model performance tracking in production.


• Design and develop machine learning applications to implement in manufacturing processes.


• Build dashboards and reports to visualize process variables, ML outputs and business KPIs.


• Document data flows, ML pipelines, and model metadata for transparency and reproducibility.

Qualifications

REQUIRED:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.


• 0–2 years of experience in data analytics, data engineering, or machine learning.


• Proficiency in SQL for data querying and manipulation.


• Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy).


• Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).

Preferred:

• Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow.


• Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau).


• Familiarity with version control tools such as Git.


• Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI.


• Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.


• Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage.

Skills

• Data preprocessing and feature engineering techniques.


• Basic data pipeline development and ETL/ELT workflows.


• Ability to interpret and visualize data insights.


• Strong analytical and problem-solving mindset.


• Attention to detail and a commitment to data accuracy and integrity.


• Effective written and verbal communication.


• Team collaboration and a proactive learning attitude.

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email

Seniority level

• Not Applicable

Employment type

• Full-time

#J-18808-Ljbffr

**Company Description**
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.
**ESSENTIAL DUTIES AND RESPONSIBILITIES:**
+ Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.
+ Responsible to perform exploratory data analysis (EDA) from different data sources and perform correlation find out the best variables for Fault Detection (FD), Prediction and Run-to-Run modelling setup.
+ Responsible to setup ETL pipeline for data integration from different sources to databases.
+ Assist in implementing basic machine learning models (e.g., regression, classification) under guidance.
+ Monitor data quality and support model performance tracking in production.
+ Design and develop machine learning (ML) applications to implement in manufacturing process.
+ Build dashboards and reports to visualize process variables, ML outputs and business KPIs.
+ Document data flows, ML pipelines, and model metadata for transparency and reproducibility.
**Qualifications**
REQUIRED:
+ Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
+ 0-2 years of experience in data analytics, data engineering, or machine learning.
+ Proficiency in SQL for data querying and manipulation.
+ Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy).
+ Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).
PREFERRED:
+ Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow.
+ Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau).
+ Familiarity with version control tools such as Git.
+ Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI.
+ Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
+ Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage.
SKILLS:
+ Data preprocessing and feature engineering techniques.
+ Basic data pipeline development and ETL/ELT workflows.
+ Ability to interpret and visualize data insights.
+ Strong analytical and problem-solving mindset.
+ Attention to detail and a commitment to data accuracy and integrity.
+ Effective written and verbal communication.
+ Team collaboration and a proactive learning attitude.
**Additional Information**
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email

Overview

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is early in the career and offers hands-on exposure to data engineering tasks, ML workflows, and the opportunity to contribute to analytics and model development. Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a history of innovations in Flash and memory technologies, our solutions are at the heart of the digital world and we have the power to shape it. We balance manufacturing capabilities with an industry-leading portfolio recognized globally for innovation, performance, and quality. Sandisk has facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations and as Sustainability Lighthouses for breakthroughs in efficient operations. We ensure the global supply chain has access to the Flash memory it needs to keep the world moving forward. Job Description

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making. Responsibilities

Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement. Perform exploratory data analysis (EDA) from different data sources and identify the best variables for fault detection, prediction and Run-to-Run modelling setup. Set up ETL pipelines for data integration from different sources to databases. Assist in implementing basic machine learning models (e.g., regression, classification) under guidance. Monitor data quality and support model performance tracking in production. Design and develop machine learning applications to implement in manufacturing processes. Build dashboards and reports to visualize process variables, ML outputs and business KPIs. Document data flows, ML pipelines, and model metadata for transparency and reproducibility. Qualifications

REQUIRED: Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 0–2 years of experience in data analytics, data engineering, or machine learning. Proficiency in SQL for data querying and manipulation. Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy). Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting). Preferred: Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow. Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau). Familiarity with version control tools such as Git. Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI. Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow. Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage. Skills

Data preprocessing and feature engineering techniques. Basic data pipeline development and ETL/ELT workflows. Ability to interpret and visualize data insights. Strong analytical and problem-solving mindset. Attention to detail and a commitment to data accuracy and integrity. Effective written and verbal communication. Team collaboration and a proactive learning attitude. Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. NOTICE TO CANDIDATES:

Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email Seniority level

Not Applicable Employment type

Full-time

#J-18808-Ljbffr

Overview

AVP, Sustainability & Climate Strategy, Policy and Data Management — We are seeking a highly motivated AVP to join our Group Sustainability team at RHB Banking Group . In this role, you will support the execution of the Group’s Sustainability and Climate Strategy, with a strong focus on ESG and climate-related data analysis. You will play a critical role in monitoring Scope 1, 2, and 3 greenhouse gas emissions, evaluating sectoral decarbonization pathways, setting sustainability performance targets, and driving ESG data-informed decision-making across the Group. This position also contributes to sustainable finance assessments, ESG risk analysis, and regulatory and voluntary external disclosures.

What You Will Be Doing

• Support the implementation of the Group’s Sustainability and Climate Strategy, focusing on ESG data and climate-related initiatives
• Monitor and analyze Scope 1, 2, and 3 emissions to track performance and compliance with internal targets and external frameworks
• Evaluate sector-specific decarbonization pathways and assist in the development of related performance goals
• Enable data-driven ESG integration by ensuring data quality, consistency, and usability across business functions
• Contribute to sustainable finance assessments and ESG risk evaluations
• Support the preparation of climate and sustainability disclosures, ensuring alignment with regulatory and voluntary standards
• Collaborate with internal stakeholders to embed sustainability and climate considerations into business and operational strategies

What We're Looking For

• 5 - 7 years of experience in sustainability, ESG reporting, environmental science, finance, or a related discipline
• Strong analytical skills with experience working with ESG and climate-related data
• Familiarity with sustainability reporting frameworks (e.g., TCFD, ISSB, GHG Protocol)
• Understanding of sustainable finance trends, ESG risks, and climate strategies
• Detail-oriented with strong organizational and stakeholder engagement skills
• Passionate about driving sustainability impact within the financial services sector

What We Offer

At RHB Banking Group, we are committed to fostering a collaborative and inclusive work environment that empowers our employees to reach their full potential. We offer competitive remuneration, comprehensive benefits, and ample opportunities for professional development and career growth. Our wellness initiatives and flexible work arrangements also support a healthy work-life balance. If you're ready to be a part of our transformative journey, we encourage you to apply now.

Seniority level

• Executive

Employment type

• Full-time

#J-18808-Ljbffr

About the Role

We are seeking a highly motivated AVP to join our Group Sustainability team at RHB Banking Group. In this role, you will support the execution of the Group’s Sustainability and Climate Strategy, with a strong focus on ESG and climate-related data analysis. You will play a critical role in monitoring Scope 1, 2, and 3 greenhouse gas emissions, evaluating sectoral decarbonization pathways, setting sustainability performance targets, and driving ESG data-informed decision-making across the Group. This position also contributes to sustainable finance assessments, ESG risk analysis, and regulatory and voluntary external disclosures.

What you will be doing

• Support the implementation of the Group’s Sustainability and Climate Strategy, focusing on ESG data and climate-related initiatives

• Monitor and analyze Scope 1, 2, and 3 emissions to track performance and compliance with internal targets and external frameworks

• Evaluate sector-specific decarbonization pathways and assist in the development of related performance goals

• Enable data-driven ESG integration by ensuring data quality, consistency, and usability across business functions

• Contribute to sustainable finance assessments and ESG risk evaluations

• Support the preparation of climate and sustainability disclosures, ensuring alignment with regulatory and voluntary standards

• Collaborate with internal stakeholders to embed sustainability and climate considerations into business and operational strategies

What we’re looking for

• 5 - 7 years of experience in sustainability, ESG reporting, environmental science, finance, or a related discipline

• Strong analytical skills with experience working with ESG and climate-related data

• Familiarity with sustainability reporting frameworks (e.g., TCFD, ISSB, GHG Protocol)

• Understanding of sustainable finance trends, ESG risks, and climate strategies

• Detail-oriented with strong organizational and stakeholder engagement skills

• Passionate about driving sustainability impact within the financial services sector

What we offer

At RHB Banking Group, we are committed to fostering a collaborative and inclusive work environment that empowers our employees to reach their full potential. We offer competitive remuneration, comprehensive benefits, and ample opportunities for professional development and career growth. Our wellness initiatives and flexible work arrangements also support a healthy work-life balance. If you're ready to be a part of our transformative journey, we encourage you to apply now.

#J-18808-Ljbffr

About the Role

We are seeking a highly motivated AVP to join our Group Sustainability team at RHB Banking Group. In this role, you will support the execution of the Group’s Sustainability and Climate Strategy, with a strong focus on ESG and climate-related data analysis. You will play a critical role in monitoring Scope 1, 2, and 3 greenhouse gas emissions, evaluating sectoral decarbonization pathways, setting sustainability performance targets, and driving ESG data-informed decision-making across the Group. This position also contributes to sustainable finance assessments, ESG risk analysis, and regulatory and voluntary external disclosures. What you will be doing

Support the implementation of the Group’s Sustainability and Climate Strategy, focusing on ESG data and climate-related initiatives

Monitor and analyze Scope 1, 2, and 3 emissions to track performance and compliance with internal targets and external frameworks

Evaluate sector-specific decarbonization pathways and assist in the development of related performance goals

Enable data-driven ESG integration by ensuring data quality, consistency, and usability across business functions

Contribute to sustainable finance assessments and ESG risk evaluations

Support the preparation of climate and sustainability disclosures, ensuring alignment with regulatory and voluntary standards

Collaborate with internal stakeholders to embed sustainability and climate considerations into business and operational strategies

What we’re looking for

5 - 7 years of experience in sustainability, ESG reporting, environmental science, finance, or a related discipline

Strong analytical skills with experience working with ESG and climate-related data

Familiarity with sustainability reporting frameworks (e.g., TCFD, ISSB, GHG Protocol)

Understanding of sustainable finance trends, ESG risks, and climate strategies

Detail-oriented with strong organizational and stakeholder engagement skills

Passionate about driving sustainability impact within the financial services sector

What we offer

At RHB Banking Group, we are committed to fostering a collaborative and inclusive work environment that empowers our employees to reach their full potential. We offer competitive remuneration, comprehensive benefits, and ample opportunities for professional development and career growth. Our wellness initiatives and flexible work arrangements also support a healthy work-life balance. If you're ready to be a part of our transformative journey, we encourage you to apply now.

#J-18808-Ljbffr

Overview AVP, Sustainability & Climate Strategy, Policy and Data Management

— We are seeking a highly motivated AVP to join our Group Sustainability team at

RHB Banking Group . In this role, you will support the execution of the Group’s Sustainability and Climate Strategy, with a strong focus on ESG and climate-related data analysis. You will play a critical role in monitoring Scope 1, 2, and 3 greenhouse gas emissions, evaluating sectoral decarbonization pathways, setting sustainability performance targets, and driving ESG data-informed decision-making across the Group. This position also contributes to sustainable finance assessments, ESG risk analysis, and regulatory and voluntary external disclosures.

What You Will Be Doing

Support the implementation of the Group’s Sustainability and Climate Strategy, focusing on ESG data and climate-related initiatives

Monitor and analyze Scope 1, 2, and 3 emissions to track performance and compliance with internal targets and external frameworks

Evaluate sector-specific decarbonization pathways and assist in the development of related performance goals

Enable data-driven ESG integration by ensuring data quality, consistency, and usability across business functions

Contribute to sustainable finance assessments and ESG risk evaluations

Support the preparation of climate and sustainability disclosures, ensuring alignment with regulatory and voluntary standards

Collaborate with internal stakeholders to embed sustainability and climate considerations into business and operational strategies

What We're Looking For

5 - 7 years of experience in sustainability, ESG reporting, environmental science, finance, or a related discipline

Strong analytical skills with experience working with ESG and climate-related data

Familiarity with sustainability reporting frameworks (e.g., TCFD, ISSB, GHG Protocol)

Understanding of sustainable finance trends, ESG risks, and climate strategies

Detail-oriented with strong organizational and stakeholder engagement skills

Passionate about driving sustainability impact within the financial services sector

What We Offer At RHB Banking Group, we are committed to fostering a collaborative and inclusive work environment that empowers our employees to reach their full potential. We offer competitive remuneration, comprehensive benefits, and ample opportunities for professional development and career growth. Our wellness initiatives and flexible work arrangements also support a healthy work-life balance. If you're ready to be a part of our transformative journey, we encourage you to apply now.

Seniority level

Executive

Employment type

Full-time

#J-18808-Ljbffr