Total 6 Senior Executive finance supervisor job vacancies in Education / Training category in Singapore

• MNC Company
• Basic $3000 - $4000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: West
• Working days: Monday to Friday
• Working hours: 8.30am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• Responsible in invoicing related work, ensure all billing activities are well coordinated including coordinate with different department in billing relating inquiries
• Generate daily invoices to new customers and monthly invoices to recurring customers
• Prepare statement of account (SOA) and send to customers on timely basis
• Updating customer database
• Assist in preparation of spreadsheets, reports and correspondence as required, carry out reporting activities according to specific deadlines
• Perform daily reconciliation of e-payments and off-set against individual invoices
• Process Credit Card and GIRO application and liaise with clients/banks for failed deductions
• Attend to any billing and payment queries via hotline/inbound email/internal department transfer
• Assist in coordinating and resolving internal and external disputes involving account receivables
• Any other ad hoc duties as assigned

Job Requirements:

• Possess minimum Nitec/Diploma in Business / Finance / Accountancy with minimum 1-2 years of related working experience
• Training provided for those without/lesser experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Lee Kuan Yew School of Public Policy is a leading public policy school in Asia, part of the National University of Singapore. Its mission is to improve governance in Asia, and improve lives for a sustainable world. Its faculty consists of accomplished scholars, educators, and experienced policy practitioners. The school offers several Master's degree programmes, a small PhD programme, as well as executive education programmes for policymakers in Asia and beyond.

The School and the University place strong emphasis on teaching and learning. To serve the educational mission of the School and the University, the Educator Track has been designed to bring together and support the career pathway of outstanding educators. Faculty on the Educator Track will be expected to teach as well contribute to the broader educational mission of the School. At more senior levels, they are expected to lead on pedagogical innovations and in teaching and learning matters. A research background in a primary disciplinary domain is valued. Scholarly research on pedagogy and teaching is a bonus, but not mandated. Although the NUS Educator Track is not a tenurable line, it has a route towards an Associate Professorship on an open contract, along with the possibility of funding for overseas conference travel.

The LKY School invites applications for the following full-time positions on the Educator Track:

• Lecturer/Senior Lecturer in Public Finance & Budgeting (disciplinary field – Economics or Public Administration)
• Lecturer/Senior Lecturer in Data Analytics or Advanced Methods/Tools, with an ability to teach R and Python preferred (disciplinary field – Public Administration, Public Management, or Public Policy)

Applicants for Senior Lecturer positions must possess a PhD degree as well as at least five years teaching experience and demonstrated impact in higher education settings. Candidates for Lecturer positions should have a PhD degree, and prior teaching experience in higher education settings would be advantageous.

The appointments of Senior Lecturer and Lecturer will be for an initial period of 3-5 years and 2-3 years, respectively, ideally beginning January 2025, with the possibility of contract renewal based on performance and the school’s teaching requirements.

Application

To apply, please provide a detailed resume and a cover letter describing your background and preparation for the position, your teaching interests, and your potential contributions to the school.

Interested candidates are encouraged to find out more about the National University of Singapore and the LKY School at www.lkyspp.nus.edu.sg.

Required Documents

• Detailed curriculum vitae, including details of education, employment history, past experience of teaching and supervision, research activities (including publications) and achievements, honours and awards, and service accomplishments.
• Cover letter.
• Teaching statement.
• A teaching portfolio with sample classroom exercises and recent student or peer teaching evaluations.
• Three letters of reference.

Only shortlisted candidates will be notified.

• 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.

• Manage internet banking, monthly bank reconciliation
• Process suppliers' invoices, match to orders, allocate costs
• Prepare accounts payable aging, reconcile vendors' statements
• Communicate effectively on payment status, invoice issues
• Handle petty cash, staff expenses; assist in audits
• Timely issuance of tuition and fee invoices.
• Billing for rentals, utilities, and intercompany transactions.
• Manage daily cash tasks, bank transfers, and receipts.
• Data entry in Engage and Sage systems.
• Monitor bank statements, update records, and collections.

Requirements:

• Minimum Diploma/Degree in Accountancy with at least 2 years of relevant working experience.

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.

Nanyang Business School (NBS) invites applications for the position of Senior Research Fellow (Post-doc) with Prof. Xin Chang’s research group. This position is supported by a Tier III grant to establish a Climate Transformation Programme (CTP) at NTU. As part of this programme, the Climate Finance Cluster will assess the multifaceted business risks posed by the physical impacts of climate change, narrow the protection gap, and facilitate the transition to a low-carbon economy.

The Senior Research Fellow will be responsible for developing procedures 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, and seeing this work through to publication in major research journals.

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

• Develop a new multifactor asset pricing model containing a climate risk factor, which investors can use to effectively price in climate change risk and hedge climate risk

• Handle data management and statistical analyses

• Work effectively with colleagues from across the CTP, and with local collaborators in ASEAN countries

• Mentor junior colleagues and students

• Handle writing and publication of results in peer-reviewed journals

Job Requirements:

• PhD degree in statistics, computer sciences, economics, or a closely related field

• Excellent knowledge of computational linguistic tools and machine learning techniques

• Experience with data analysis with Python and STATA

• Prior experience in publishing in peer-reviewed business, economic, or scientific journals

• Excellent oral and written communication skills in English

• 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

Interested applicants are invited to submit a cover letter, full CV and names and contact details of three referees in one document. Enquiries about this position can be made to Nur Masturah (nurmasturah.am@ntu.edu.sg).

Review of applications will begin on 15th Jan 2024.

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

Nanyang Business School (NBS) invites applications for the position of Senior Research Fellow (Post-doc) with Prof. Xin Chang’s research group. This position is supported by a Tier III grant to establish a Climate Transformation Programme (CTP) at NTU. As part of this programme, the Climate Finance Cluster will assess the multifaceted business risks posed by the physical impacts of climate change, narrow the protection gap, and facilitate the transition to a low-carbon economy.

The Senior Research Fellow will be responsible for developing procedures 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, and seeing this work through to publication in major research journals.

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
• Develop a new multifactor asset pricing model containing a climate risk factor, which investors can use to effectively price in climate change risk and hedge climate risk
• Handle data management and statistical analyses
• Work effectively with colleagues from across the CTP, and with local collaborators in ASEAN countries
• Mentor junior colleagues and students
• Handle writing and publication of results in peer-reviewed journals

Job Requirements:

• PhD degree in statistics, computer sciences, economics, or a closely related field
• Excellent knowledge of computational linguistic tools and machine learning techniques
• Experience with data analysis with Python and STATA
• Prior experience in publishing in peer-reviewed business, economic, or scientific journals
• Excellent oral and written communication skills in English
• 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

Interested applicants are invited to submit a cover letter, full CV and names and contact details of three referees in one document. Enquiries about this position can be made to Nur Masturah ([email protected]).

Review of applications will begin on 15th Jan 2024.

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