Total 7 Education / Training job vacancies

The Nanyang Technological University, Nanyang Business School invites applications for Lecturer/Senior Lecturer positions in the Division of Finance to teach courses related to investments, FinTech and AI, and other areas in finance. We seek passionate and experienced educators with strong academic backgrounds and/or industry experience in these areas, who are committed to teaching excellence and student development.

About NTU

Young and research-focused, Nanyang Technological University (NTU) is ranked No. 12th best university globally according to the recent QS World University Rankings. For more information, visitwww.ntu.edu.sg.

About NBS

A premier business school within a leading technological university, Nanyang Business School is where business meets technology and ideas drive progress. Consistently ranked among the world’s best, NBS is one of the most established providers of business and management education in the Asia-Pacific region. For example, its flagship NTU Nanyang MBA programme is ranked 12th globally in the Financial Times Global MBA Ranking2026, making it the top MBA programme in Singapore and second in the Asia-Pacific region among MBA programmes offered in the region. For more information, visit https://www.ntu.edu.sg/business.

Key Benefits

Nanyang Business School offers a competitive salary commensurate with the candidate’s qualifications and experience, as well as the opportunity to engage with some of the world’s leading scholars and the region’s top students in a vibrant and internationally connected academic environment.

Key Responsibilities

The successful candidate will be expected to deliver engaging and effective instruction in investments, FinTech and AI, and other related areas in finance. In addition to teaching a range of finance courses, the candidate will play an active role in curriculum development, student mentoring, and industry engagement.

The candidate will contribute to course administration, pedagogical innovation, and school-level service activities. Collaboration with colleagues and industry partners to enhance student learning experiences and bridge academic concepts with professional practice is also expected.

Lecturers/Senior Lecturers are expected to demonstrate excellence in teaching and service, while contributing to practice-oriented scholarship, such as case writing and industry-linked projects, and to the continuous improvement of teaching through innovation and industry engagement.

Requirements

• Candidates should preferably hold a PhD in a finance-related discipline from a reputable university.

• Relevant professional qualifications and industry experience in a finance-related field are highly desirable.

• Versatility and experience in teaching a range of finance courses at both undergraduate and postgraduate levels.

• Strong interest in curriculum development/innovation, case writing, and industry engagement.

• Demonstrated ability and passion for teaching, mentoring, and student development.

About the Hiring Academic Unit

The Division of Finance at Nanyang Business School is committed to research excellence, with its faculty’s research regularly published in the leading finance journals. In the QS World University Rankings by Subject, Nanyang Technological University is ranked 14th globally in Accounting & Finance. Within the undergraduate programme, Finance is the most popular major, and its graduates are highly sought after by the industry. For more information, visit https://www.ntu.edu.sg/business/academic-divisions/finance.

Application Procedure

Please submit your application by 31 July 2026.Applications will be reviewed on a rolling basis and the search will remain open until the positions are filled. Applications should be submitted through https://apply.ap1.interfolio.com/119146.

Applicants should include the following documents:

• Cover Letter

• Curriculum Vitae

• Teaching Statement

• Research Statement (if applicable)

• Service Statement (if applicable)

• Recent teaching evaluations and/or student feedback(if available)

Shortlisted candidates will be required to arrange for three confidential letters of recommendation to be submitted directly by their referees at a later stage of the selection process.

For enquiries, please write to nbs-fin-recruiting@ntu.edu.sg

The Nanyang Technological University, Nanyang Business School invites applications for Lecturer/Senior Lecturer positions in the Division of Finance to teach courses related to investments, FinTech and AI, and other areas in finance. We seek passionate and experienced educators with strong academic backgrounds and/or industry experience in these areas, who are committed to teaching excellence and student development.

About NTU

Young and research-focused, Nanyang Technological University (NTU) is ranked No. 12th best university globally according to the recent QS World University Rankings. For more information, visitwww.ntu.edu.sg.

About NBS

A premier business school within a leading technological university, Nanyang Business School is where business meets technology and ideas drive progress. Consistently ranked among the world’s best, NBS is one of the most established providers of business and management education in the Asia-Pacific region. For example, its flagship NTU Nanyang MBA programme is ranked 12th globally in the Financial Times Global MBA Ranking2026, making it the top MBA programme in Singapore and second in the Asia-Pacific region among MBA programmes offered in the region. For more information, visit https://www.ntu.edu.sg/business.

Key Benefits

Nanyang Business School offers a competitive salary commensurate with the candidate’s qualifications and experience, as well as the opportunity to engage with some of the world’s leading scholars and the region’s top students in a vibrant and internationally connected academic environment.

Key Responsibilities

The successful candidate will be expected to deliver engaging and effective instruction in investments, FinTech and AI, and other related areas in finance. In addition to teaching a range of finance courses, the candidate will play an active role in curriculum development, student mentoring, and industry engagement.

The candidate will contribute to course administration, pedagogical innovation, and school-level service activities. Collaboration with colleagues and industry partners to enhance student learning experiences and bridge academic concepts with professional practice is also expected.

Lecturers/Senior Lecturers are expected to demonstrate excellence in teaching and service, while contributing to practice-oriented scholarship, such as case writing and industry-linked projects, and to the continuous improvement of teaching through innovation and industry engagement.

Requirements

• Candidates should preferably hold a PhD in a finance-related discipline from a reputable university.

• Relevant professional qualifications and industry experience in a finance-related field are highly desirable.

• Versatility and experience in teaching a range of finance courses at both undergraduate and postgraduate levels.

• Strong interest in curriculum development/innovation, case writing, and industry engagement.

• Demonstrated ability and passion for teaching, mentoring, and student development.

About the Hiring Academic Unit

The Division of Finance at Nanyang Business School is committed to research excellence, with its faculty’s research regularly published in the leading finance journals. In the QS World University Rankings by Subject, Nanyang Technological University is ranked 14th globally in Accounting & Finance. Within the undergraduate programme, Finance is the most popular major, and its graduates are highly sought after by the industry. For more information, visit https://www.ntu.edu.sg/business/academic-divisions/finance.

Application Procedure

Please submit your application by 31 July 2026. Applications will be reviewed on a rolling basis and the search will remain open until the positions are filled. Applications should be submitted through https://apply.ap1.interfolio.com/119146.

Applicants should include the following documents:

• Cover Letter

• Curriculum Vitae

• Teaching Statement

• Research Statement (if applicable)

• Service Statement (if applicable)

• Recent teaching evaluations and/or student feedback(if available)

Shortlisted candidates will be required to arrange for three confidential letters of recommendation to be submitted directly by their referees at a later stage of the selection process.

For enquiries, please write tonbs-fin-recruiting@ntu.edu.sg

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, Cluster 5 Climate and finance markets will measure and price climate risk in financial markets, design innovative risk financing solutions to climate change, and quantify economic impact of climate policies.

The Research Fellow will be based in the Nanyang Business School and will contribute to interdisciplinary research under Cluster 5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs.

Duties and Responsibilities:

• Design, develop, and execute empirical research projects related to climate risk, financial markets, and climate policy, in alignment with the objectives of Cluster 5: Climate and Finance Markets under the Climate Transformation Programme.

• Construct, clean, and analyze large-scale datasets combining financial, environmental, and policy information, including both structured and unstructured data sources.

• Apply artificial intelligence and large language model (LLM) tools to extract, structure, and analyze information from unstructured sources such as corporate disclosures, regulatory filings, policy documents, and project-level reports.

• Develop and maintain retrieval-augmented generation (RAG) pipelines and related AI-enabled research workflows to support dataset construction, empirical analysis, and evidence synthesis.

• Implement rigorous empirical and quantitative methods to measure and price climate-related risks in financial markets and to assess the economic and financial impacts of climate policies.

• Contribute to the preparation of academic manuscripts for submission to leading peer-reviewed journals, as well as policy-oriented reports and research outputs.

• Collaborate closely with faculty investigators, research staff, and interdisciplinary partners across the University and with external collaborators.

• Support project coordination activities, including documentation of research workflows, version control of code and data, and supervision or mentoring of research assistants where appropriate.

Key Competency and Qualifications Requirements:

• PhD (or PhD near completion) in Computer Science, Finance, Economics, or a related quantitative discipline.

• Strong training in quantitative, empirical, or computational research methods.

• Experience working with large-scale datasets, including unstructured text data.

• Familiarity with AI and large language model (LLM) tools; experience with retrieval-augmented generation (RAG) frameworks is an advantage.

• Strong programming skills (e.g., Python, R, or similar).

Interested applicants are invited to submit a full CV and cover letter in one document. Enquiries about this position can be made to Asst Prof Chen Zhimin.

We regret that only shortlisted candidates will be notified.

Company Overview

BEYONICS INTERNATIONAL PTE. LTD.

Job Summary

The Training Supervisor plans and executes employee training and competency programs to ensure compliance with quality standards and regulatory requirements, fostering a skilled workforce through onboarding, technical training, and continuous improvement.

Responsibilities

• Develop, implement, and monitor training programs for new hires and existing employees to enhance skills and compliance
• Conduct orientation, quality, SOP, process, and skills-based training sessions to ensure operational readiness
• Maintain and update training matrices, competency assessments, and employee training records for accurate tracking
• Collaborate with department managers to identify training needs and address skill gaps effectively
• Ensure completion of mandatory training and certification requirements by all employees
• Coordinate internal and external training programs and manage relationships with training providers
• Evaluate training effectiveness through assessments and feedback, recommending improvements to materials and methods
• Support quality and regulatory compliance by maintaining proper training documentation and records
• Monitor employee competency levels and facilitate re-certification activities as required
• Prepare monthly training reports and KPI updates for management review to track progress and impact
• Lead continuous improvement initiatives aimed at enhancing employee development and training effectiveness
• Provide training records and competency evidence to support internal and external audits

Required competencies and certifications

• Minimum 3–5 years of experience in training, quality, or manufacturing environments
• Knowledge of manufacturing processes and quality systems

Preferred competencies and qualifications

• Familiarity with ISO 9001, ISO 13485, GMP, or other quality management systems
• Understanding of production processes and manufacturing operations

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-in-Sustainable-Finance-%28SGFIN%29/33177-en_GB/?st=9150308994CF31FCAACEE319707B32B09BE6EC1E

We regret that only shortlisted candidates will be notified.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS.  SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of sustainable, responsible, and green investing and valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate sustainability efforts and performance into various metrics that can be analyzed further to support decision making in the corporate, financial, and societal spheres.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Weina Zhang) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of research hypotheses
• Plan and contribute to the collection and organization of corporate financial and sustainability disclosures
• Plan and contribute to the collection and organization of information regarding government policies and regulations in the sustainability space
• Contribute to qualitative and quantitative analyses of existing frameworks, to extend existing frameworks to develop a more comprehensive framework
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research analysts on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Qualifications

• Academic background in the following subjects is preferred: finance, accounting, economics, business, sustainable/green finance, sustainability management, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is highly preferred, with a PhD degree preferred
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is required.
• A thorough knowledge of the research field of sustainable economics or finance is highly preferred.
• Quantitative analytical and/or financial econometric skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research and data analysis of research projects.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Excellent verbal and interpersonal communication skills, along with strong written communication skills.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-2%2C-Dept-of-Finance/32528-en_GB/?st=9A6A65AE8A28B5EE49D54E569CB30C23403DC96A

We regret that only shortlisted candidates will be notified.

Job Description

I am looking for up to two highly skilled and motivated individuals to work with me as full-time research professionals. 

You will work with NUS Business School Professor Karsten Müller at the Department of Finance. For the most part, you will support Karsten’s research agenda on macro-financial linkages and historical macroeconomic statistics. This work uses macro and micro data and cutting-edge statistical methods to understand when credit booms endanger financial stability, what the sources of long-run growth are, and how boom-bust cycles can shape the economy of a country for decades. Among other things, you will help to (a) construct novel data sources to measure credit market conditions and historical macroeconomic outcomes, (b) analyse data to understand the role of financial frictions on firm outcomes, and (c) help estimate measures of economic activity ranging back centuries for many countries. 
 
You will work with us on a variety of tasks, including data collection and analysis, statistical programming and data visualization, conducting literature reviews, summarizing research findings and policy documents, and editing research papers. You will have access to resources, including part-time research assistants, and collaborate closely with other members of Professor Müller’s lab. The most important requirement for this position is that you are highly ambitious and eager to learn, and you should ideally bring a proven an interest in economic research. 

The position is based in Singapore. A successful candidate will be able to participate in the academic life at NUS, including the ability to attend research seminars and potentially PhD courses. I will support you in achieving your interests and goals, which for many candidates will mean applying to world-leading Master’s and PhD programmes, policy organizations, or industry jobs. NUS provides equal employment opportunities to all employees, applicants, and job seekers.

Qualifications
Ideal candidates will:
(i)    have a strong background in economics, finance, or data science; 
(ii)    have a proven interest in economic questions, and an interest potentially pursuing an academic path;
(iii)    be able to work independently to solve problems; and
(iv)    be highly organized and pay attention to details.

A background in economics or finance is a plus but not necessary. I have often worked with computer science or data science students as well. The ideal candidate will be highly motivated and self-directed, adept at learning new technical skills when needed. 

Candidates should submit the following documents:
•    Cover letter and resume
•    Transcripts from previous academic programs, where relevant
•    If available: A research paper (undergrad thesis, term paper, etc.)

Applications will be reviewed on a rolling basis.

Working Conditions
Office, library, computer room

Physical Effort
Typically sitting at a desk or table

Department / School
NUS Business School

Pay
Competitive with other world-leading research universities

Special Requirements 
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-1%2C-Dept-of-Finance/32527-en_GB/?st=0B473217FD15668574730FF421287EC36ECD5BB3

We regret that only shortlisted candidates will be notified.

Job Description

I am looking for up to two highly skilled and motivated individuals to work with me as full-time research professionals. 

You will work with NUS Business School Professor Karsten Müller at the Department of Finance. For the most part, you will support Karsten’s research agenda on macro-financial linkages and historical macroeconomic statistics. This work uses macro and micro data and cutting-edge statistical methods to understand when credit booms endanger financial stability, what the sources of long-run growth are, and how boom-bust cycles can shape the economy of a country for decades. Among other things, you will help to (a) construct novel data sources to measure credit market conditions and historical macroeconomic outcomes, (b) analyse data to understand the role of financial frictions on firm outcomes, and (c) help estimate measures of economic activity ranging back centuries for many countries. 
 
You will work with us on a variety of tasks, including data collection and analysis, statistical programming and data visualization, conducting literature reviews, summarizing research findings and policy documents, and editing research papers. You will have access to resources, including part-time research assistants, and collaborate closely with other members of Professor Müller’s lab. The most important requirement for this position is that you are highly ambitious and eager to learn, and you should ideally bring a proven an interest in economic research. 

The position is based in Singapore. A successful candidate will be able to participate in the academic life at NUS, including the ability to attend research seminars and potentially PhD courses. I will support you in achieving your interests and goals, which for many candidates will mean applying to world-leading Master’s and PhD programmes, policy organizations, or industry jobs. NUS provides equal employment opportunities to all employees, applicants, and job seekers.

Qualifications
Ideal candidates will:
(i)    have a strong background in economics, finance, or data science; 
(ii)    have a proven interest in economic questions, and an interest potentially pursuing an academic path;
(iii)    be able to work independently to solve problems; and
(iv)    be highly organized and pay attention to details.

A background in economics or finance is a plus but not necessary. I have often worked with computer science or data science students as well. The ideal candidate will be highly motivated and self-directed, adept at learning new technical skills when needed. 

Candidates should submit the following documents:
•    Cover letter and resume
•    Transcripts from previous academic programs, where relevant
•    If available: A research paper (undergrad thesis, term paper, etc.)

Applications will be reviewed on a rolling basis.

Working Conditions
Office, library, computer room

Physical Effort
Typically sitting at a desk or table

Department / School
NUS Business School

Pay
Competitive with other world-leading research universities

Special Requirements 
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.