Total 37 finance supervisor job vacancies in Education / Training category in Singapore

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, the climate finance Cluster will collect data that measures and price climate risk exposures in financial markets, conduct preliminary data analysis and skillfully manage the projects for documentation purposes; all content is summarised here.

The Research Associate will be based in the Centre for Sustainable Finance Innovation (CSFI) of Nanyang Business School and will be responsible for developing preliminary data analysis to measure and price risks arising from climate change suitable for each company so that climate risk can be managed by companies and hedged by investors.

The Research Associate's activities are designed to provide a nuanced understanding of how climate change is discussed and documented within the corporate world. By bridging technology and environmental science, the role aims to enhance the strategic responses to climate risks, tailor interventions, and ultimately contribute to the sustainability goals of the region. This position not only demands technical expertise in data science and computational linguistics but also a keen understanding of climate science and strong collaborative abilities to work effectively in a diverse and multi-disciplinary environment.

Key Responsibilities:

• Use computational linguistic tools and machine learning techniques to analyze discussions on climate change in corporate social responsibility reports, conference call transcripts, and the Management Discussion and Analysis section of companies’ annual reports.
• Construct a dataset that can produce a climate risk fact sheet containing essential information about various climate risk exposure (e.g., drought, flooding) of a region or a city.
• Handle data management and statistical analyses.
• Work effectively with colleagues from across the CTP, and with local collaborators in ASEAN countries.

Job Requirements:

• Master's Degree in data analytics or a closely related field.
• Ability to work independently to develop research in challenging environments.
• Collaborative, with an interest in working with other researchers and scientists (this is a large team project) to produce high-quality and impactful research.
• Interest in climate, green, or sustainable finance.
• Excellent knowledge of computational linguistic tools and machine-learning techniques.
• Experience with data analysis with Python and STATA.
• Excellent oral and written communication skills in English which is essential to conduct research.

Interested applicants are invited to submit a cover letter, full CV and names and contact details of three referees in one document.

We regret to inform that only shortlisted candidates will be notified.

Hours: Mon to Thur (8.30am to 5.45pm) and Fri (8.30am to 5.15pm)

Salary: Up to S$5000

Location: Nanyang Avenue

Duration: 9 months

• Manage all aspects of school’s Self Financing, subsidized and endowed programmes : budgeting, planning and forecasting activities
• Prepare budget templates and ensure timely submission of budget data Monitor budget execution and utilization. Perform evaluation on budget utilization and performance to facilitate decision making over prioritization and strategy.
• Conduct decision-support analyses that provides real-time and accurate financial information draws insights from such analyses to make recommendations to the local unit’s Management team, as well as relevant finance stakeholders
• Supports Finance Business Partner in any other matters

Requirements

• Degree in Accountancy/finance or equivalent
• Chartered Accountant, 3-5 years of relevant experience
• Knowledge in SAP, Concur, Ariba, Power BI, Tableau are advantageous
• Comfortable operating in a matrix structure and in a constantly changing environment
• Ability to take initiative and work independently and collaboratively within the team
• Demonstrated ability to build and maintain effective interpersonal relationships at all levels
• Strong analytical thinking and communication skills both written and verbal
• Outstanding attention to details and follow-up skills
• Well-developed prioritization, time management and multi-tasking skills
• Ability to work well under pressure, meet deadlines and drive projects to completion

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd

• RCB No. 200007268E

• EA License No. 01C4394

• EA Registration No. R24120918 TAM SEE MIN

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Predicting Debt Crisis with Artificial Intelligence and Real-Time Big Data, an inter-disciplinary project funded by the Asian Institute of Digital Finance, is looking for a full-time Postdoctoral Fellow. The Principal Investigators of this project are at Lee Kuan Yew School of Public Policy and NUS School of Computing. The candidate will oversee day-to-day activities and the general management of assigned research projects.

These responsibilities include:
• Conducting academic research on topics related to artificial intelligence, macro finance, and interdisciplinary topics.
• Integrating existing literature to propose research ideas and hypotheses, develop and implement empirical analysis using various statistical software. Methodologies used include machine learning, regression discontinuities, difference-in-difference analyses, among others.
• Working with team members to extract, process, and filter information from various text resources and construct new datasets.
• Processing, cleaning, and merging datasets (e.g., using R, Python, Stata, SPSS, and/or SAS).
• Giving presentations and scheduling meetings with external parties that are relevant to the research projects
• Coordinating and supervising research assistants to help in the responsibilities stated above.

Requirements

- A PhD degree in econometrics, economics, finance, or other related fields.
- Experience of conducting interdisciplinary research. Relevant experience in international finance, public finance, and econometrics would be a plus.
- Familiar with statistical software such as STATA, R, or Python, advanced programming skill is a plus.
- Responsible, detail oriented, and perfection-seeking.
- Quick in learning and creative in providing solutions.
- Independent, self-starter with initiative and commitment.
- Enjoys interacting with people and open to new experiences.
- Must have the ability to proactively manage teams of research assistants across on multiple research activities.

The candidate is expected to be physically present in NUS office during the stipulated working hours. Software and tools required for data analysis will be made available.

The earliest start date of the appointment is May 2024. Appointments will be on a term-contract of one year, and renewable when necessary. Salary will commensurate with the candidate’s qualifications, track record, potential, experience.

Interested applicants should send a cover letter, curriculum vitae with complete contact information and any supporting documents.

Should you be shortlisted, a faculty member or an administrator will be contacting you directly for an interview.

Applications will be accepted until the position is filled.

Job Description:

The Chinese School of International Studies is seeking a passionate and dedicated individual to join our team as a Full-Time Lecturer. This position requires proficiency in both English and Mandarin, with the ability to deliver engaging lectures in Chinese. As a bilingual lecturer, you will play a crucial role in teaching business-related courses to our students, thereby contributing to their academic and professional development.

Job Requirements:

· A minimum of a master’s degree in business, hospitality, accounting, finance, or related fields.

· Demonstrated commitment with a minimum of 3 years of experience in teaching Business related courses.

· Teaching qualifications, such as Specialist Diploma in Adult Learning and Teaching (SDALT), Advanced Certificate in Training and Assessment (ACTA), Advanced Certificate in Learning and Performance (ACLP), and Diploma in Adult and Continuing Education (DACE), are highly valued.

· Proficiency in both Chinese and English, with the ability to deliver lectures effectively in Chinese.

· Exceptional presentation and communication skills to captivate students' attention.

· Student-oriented mindset, dedicated to providing a nurturing learning environment.

· Enthusiastic about learning and teaching, with a genuine desire to inspire students.

· Immediate availability would be advantageous.

Responsibilities:

· Deliver engaging lectures in Chinese to students enrolled in business-related courses.

· Create a conducive learning environment that fosters student engagement and participation.

· Develop and update course materials and curriculum to ensure relevance and effectiveness.

· Assess student progress and provide constructive feedback to facilitate their learning journey.

· Organise educational activities and excursions to enhance the overall learning experience.

· Collaborate with colleagues to contribute to the continuous improvement of teaching standards and practices.

Additional Information:

We are looking for a candidate who is not only passionate about teaching but also eager to contribute beyond the classroom. The ideal candidate will be proactive in organising activities and facilitating educational excursions to enrich the overall learning experience for our students.

We eagerly anticipate welcoming a dynamic individual who shares our passion for education and student development. If you meet the qualifications and are ready to make a positive impact, we encourage you to apply for this exciting opportunity.

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

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

We regret that only shortlisted candidates will be notified.

About the Asian Institute of Digital Finance (AIDF)

The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.

Duties and Responsibilities

The Research Assistant will be responsible for working closely with the Principal Investigator on quantitative finance and fintech research projects. In particular, the research assistant is going to develop Machine Learning/Reinforcement Learning methods and apply them in the field of quantitative finance and risk management.

• Data Management: Utilize proficiency in SQL, NoSQL, and vector databases to collect, clean, and manage data for research projects.
• Research Assistance: Collaborate on research initiatives focused on credit recovery efficiency, applying quantitative finance and econometric methodologies to analyze data and develop models.
• Machine Learning: Apply expertise in reinforcement learning and traditional machine learning algorithms to develop predictive models and optimization strategies for credit recovery processes.
• Software Development: Leverage software development experience to create and maintain tools and applications necessary for research and data analysis.
• Cloud Infrastructure: Manage and optimize cloud infrastructure in AWS to support research initiatives and ensure scalability.
• Programming: Utilize skills in Python, TypeScript, and JavaScript, along with frameworks like PyTorch, to implement and test quantitative models.
• Financial Expertise: Apply knowledge of finance, especially in risk management, to contribute valuable insights to research projects.

Qualifications

• The candidate should have a Bachelor degree in Mathematics/Quantitative Finance or a related field. The candidate should have strong familiarities with quantitative finance problems such as portfolio optimization, credit rating, market making, and derivative pricing.
• The candidate should have expertise and research experiences in the areas of machine learning/reinforcement learning on quantitative finance problems. The candidate should have deep understandings of Markov Decision Process, Model-based and Model-free RL, Value/Policy Iterations, Q-learning, as well as designing and training of Neural Networks.
• Candidates who have experience with model uncertainty, model robustness, and inverse learning will be highly preferred.
• The candidate should have shown academic excellence and promising research potential. Strong publication record in internationally well-recognized journals is highly preferred. International scholarly visibility (e.g. conference presentations, academic visits) would also be favoured.
• The candidate should be an independent researcher as well as a good team player. The potential research projects might involve collaboration from various disciplines. Strong interpersonal, leadership, and project management skills are highly preferred.

The Academic Insturctor is required to teach the courses in the undergraduate programs offered by the University at Buffalo, The States University of New York, US, in partnership with Singapore Institute of Management in Singapore.

The roles would include:

• Creation of course design and materials, and implementation of syllabus to meet UB learning objectives;
• Delivery of student-centered, interactive course curriculum, including supervision of project work;
• Create, administer, and mark assessment instrucments;
• Evaluate student progress and achievements;
• Hold regular consultation hours;
• Maintain and submit academic records.

Job Requirements:

• A Ph.D or Master's Degree in the exact discipline as specified by the teaching assignment from a nationally or regionally (USA) accredited university is required;
• Terminal degree is preferred;
• At least 2 years of relevant full-time teaching experience in the exact discipline as specified by the teaching assignment at the tertiary level is required;
• Ability to independently operate all class level functions of Blackboard classroom management system, including Grade Center, is required;
• Substantial evidence of an active academic research agenda and recent history of publication(s) in peer-reviewd scholarly journal(s) are strongly preferred;
• 5 years of relevant work experience will be an added advantage;
• Available to teach during day time on weekdays

Note:

• Only short-listed candidates who meet the specified requirements will be notified.
• Remuneration varies based on the number of classes conducted.

Experience must from Banking or Finance Industry

# The position demands natural intellectual curiosity and is a demanding role that typically requires strong communication skills, Able to handle multiple research assignments simultaneously, generating creative research ideas and ability to write clear and concise research notes

Key Responsibilities:

• Creating, updating and maintaining company models, company valuation, and industry databases
• Performing regular tasks promptly and providing regular reports to the analyst including analysis of periodically released industry statistics, sector news, etc.
• Handling ad hoc client requests, often to deadlines

Qualifications:

• Bachelor’s Degree/University degree or equivalent experience
• Min 5to 7 years experience
• Work well under pressure, as daily news flow and unplanned projects arise frequently.

Send your Cv to [email protected]

The Global School of Technology and Management offers academic courses in Accounting and Finance, Engineering, Construction and the Built Environment, Events, Hospitality and Tourism Management, Computing and Information Technology, Business Management, Logistics and Supply Chain Management and etc. Please visit www.gstm.edu.sg for more information.

Due to the continuing success of the programmes and the increasing demand for graduates in this field, we are now seeking suitable candidates for the position of Part-Time Lecturer (Accounting/Finance Management ).

Preferable candidate with industry and academic experiences and will be responsible for teaching and supervision for final year project.

Responsibilities

• Conduct lessons (Face-to-Face) to students and carry out all relevant responsibilities related to the teaching role. The lessons may be time-tabled during the day, morning/afternoon weekdays.
• Design, develop and review course materials, as well as assessments
• Assess and evaluate student assignments and their academic performances
• Coach and mentor students to support their learning

Teaching hours:

• Classes are conducted during the day on weekdays only (Morning/ Afternoon)

Teaching modules:

· Financial Reporting

· Audit and Assurance

· Professional Learning and Practice

· International Marketing

· Creative Entrepreneurship and Innovation

· Contemporary Issues in Sustainability

· Project Management

· Money, Banking and Finance

· Research Project

· Cost Accounting

· Principles of Accounting and Finance

· Principles of Banking and Finance

· Economic Analysis for Business Decision

· Financial Accounting in the Service Industry

· Professional Practice in Accounting

· Management Accounting

· International Business

· Corporate Finance

· Taxation

· Auditing

Prerequisites

• At least Master Degree in a relevant discipline in Accounting/ Banking and Finance/ Finance Management/ Economic
• With at least 5 years of relevant working experience in the industry and academics.
• Strong knowledge of the subject areas combined with a broad subject background and ability to contribute to teaching modules in areas of in Accounting/ Banking and Finance/ Finance Management/ Economic/ Management/Accounting and Finance / International Business in Undergraduate level
• A passion and genuine interest to share knowledge and interact with learners.
• Good communication and interpersonal skills

Added Advantages and Preferences:

Preference will be given to candidates:

• Teaching and research expertise in the in Accounting/ Banking and Finance/ Finance Management/ Economic fields
• Membership of professional bodies and associations will be an added advantage.
• Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

I am looking for one highly skilled and motivated individuals to work with me as full-time research professionals for a period of at least one year. The start date is subject to negotiation, but may be as early as 1 March 2024.

You will work with NUS Business School Professor Karsten Müller at the Department of Finance. For the most part, you will support Karsten’s ambitious research agenda on the link between credit markets and the real economy. This work uses macro and micro data and cutting-edge statistical methods to understand the drivers and consequences of who in the economy receives credit. Among other things, you will help to (a) construct novel data sources to measure credit market conditions, (b) analyse data to document the role of credit markets in recessions and stock market crashes, and (c) analyse the effectiveness of financial policies and credit subsidies in stimulating economic growth.

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. This position is ideal for individuals with strong interpersonal skills, the ability to manage themselves and others, and 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 a related field; 

(ii) have proven organizational skills;
(iii) be able to work independently to solve problems; and
(iv) are highly organized and pay attention to details.

A background in economics or finance is a plus but not necessary. 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.)
• If available: Sample of code (ideally for same paper)

Applications will be reviewed on a rolling basis.

Job description:

• Conduct the assessment as stated in the Assessment Plan
• Conduct professional training and activities according to the provided lesson plan.
• Administer assessments as outlined in the Assessment Plan.
• Ensure training sessions are conducted in a safe and conducive environment for all participants.
• Complete all assessment documents thoroughly and accurately.

Requirements:

• Degree/Diploma in any discipline.
• Registered Workplace Safety and Health Officer (WSHO).
• Advanced Certificate in Training and Assessment (ACTA).
• Must have a MWAH/Scaffold Supervisor Certificate.
• Must have a Rigger & signalman Certificate.
• At least 5 years of work experience in relevant industry.
• At least 2 years of training experience.
• Proficiency in Microsoft Office applications, especially Excel, Word, and PowerPoint.

• Manage monthly account closing for assigned entities.
• Oversee AR billing and review Vessel Operating Costs.
• Post invoices, journals, and payments in Microsoft Navision.
• Handle vendors reconciliation and payment cycle preparation.
• Assist with staff expense claims and ad hoc duties.

Requirements:

• Minimum Diploma/Degree in accountancy with at least 2 years of relevant working experience.
• Proficient in MS Excel and Navision.

Interested candidates please send in your resume to:
Yvonne Suan Ying Zhen
Outsourcing Team
Email: [email protected]
EA License No: 99C4599

*All information will be treated with strictest confidence. We regret that only short-listed applicants will be notified.