Adjunct Lecturers (Commerce)

NEWCASTLE AUSTRALIA INSTITUTE OF HIGHER EDUCATION PTE. LTD.; Singapore; On-site; SGD 24,000 - 48,000; Full time

Job summary

NEWCASTLE AUSTRALIA INSTITUTE OF HIGHER EDUCATION PTE. LTD. invites applications for Adjunct Lecturers in Accounting and Finance.

AACSB accreditation and a proven teaching track record are required; duties include delivering FINN3001 Financial Modelling and FINN2003 Financial Technologies and Innovation, with emphasis on Python, ML and data analytics. The role also involves establishing research programs, pursuing external funding, and collaborating on publications.

Qualifications

• PhD in Accounting or Finance or related discipline.
• Proven track record of effective undergraduate teaching in Accounting & Finance.
• Relevant professional experience in Accounting & Finance industry.
• Understanding of Singapore and global business sectors.

Responsibilities

• Teach FINN3001 Financial Modelling with Python-based methods.
• Teach FINN2003 Financial Technologies and Innovation with ML concepts.
• Establish research programs and pursue external funding.
• Engage in collaborative research and publish journal articles and conference papers.

Skills

Data analysis

Teaching excellence

Interpersonal communication

Education

PhD in Accounting or Finance or related discipline

Tools

Python

pandas

numpy

Jupyter Notebook

Job description

We are seeking Adjunct Lecturers who are AACSB accredited and with a proven track record of effective teaching and experience in the field of Accounting and Finance. Duties and responsibilities include but are not limited to:

Teaching:

Should have the ability to address the following course(s) –

FINN3001 Financial Modelling: The course focuses on applying Python to financial modelling and analysis. Teaching staff are expected to have a solid working knowledge of Python. Important skills include:

• Strong Python fundamentals and scripting
• Data manipulation and financial data analysis using pandas
• Numerical and matrix computations using numpy
• Financial data cleaning and time-series handling
• Data visualisation and statistical modelling in Python
• Working knowledge of Jupyter Notebook and reproducible workflows
• Strong debugging and trouble shooting skills.

FINN2003 Financial Technologies and Innovation: Teaching staff are expected to possess a solid understanding of machine learning models, including supervised, unsupervised, and semi-supervised learning. Particular emphasis is placed on tree-based models, such as decision trees, random forests, and gradient boosting methods.

• The teaching staff are expected to support students in understanding both the theoretical foundations and practical applications of these models, including model development, interpretation, evaluation, and implementation using Python. This requirement is especially important because one of the major assignments is specifically designed around applying machine learning models.

Research:

• Establish research programs and develop applications for external research funding;
• Engage in collaborative research;
• Conduct research and publish journal articles and conference papers.

Selection Criteria:

• PhD in Accounting or Finance or related discipline
• Proven track record of effective undergraduate teaching in the field of Accounting & Finance.
• Relevant professional experience in any of the Accounting & Finance industry
• An understanding of emerging issues in the Singapore and global business sectors
• Demonstrated research record including scholarly publications in academic journals
• Excellent interpersonal and communication skills