Research Analyst/ Associate/ Fellow in Machine Learning and Artificial Intelligence (ML/AI)

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading university in Singapore seeks a Research Analyst/Associate/Fellow for their Sustainable and Green Finance Institute. This role focuses on developing analytical frameworks for machine learning and AI, collaborating with industry partners, and managing research projects. Candidates should possess strong programming skills and a relevant academic background, with a commitment to innovative research. Full-time position with a supportive research environment.

Qualifications

• Strong understanding of machine learning and AI.
• Experience in data analysis and research support.
• Ability to manage several projects concurrently.

Responsibilities

• Design research projects in collaboration with Directors.
• Manage and coordinate project deliverables and quality.
• Guide and supervise research associates.

Skills

Programming skills in machine learning and AI

Project management skills

Knowledge of financial markets

Problem-solving skills

Interpersonal communication

Education

Bachelor's degree in Computing, Information Systems, Economics, Business, or Finance

Master's degree preferred

PhD required for Research Fellow position

Tools

Machine learning and AI tools

Database management software

Job description

Research Analyst / Associate / Fellow in Machine Learning and Artificial Intelligence (ML/AI)

Join to apply for the Research Analyst / Associate / Fellow in Machine Learning and Artificial Intelligence (ML/AI) role at National University of Singapore.

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.

Job Description

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

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

Duties And Responsibilities

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) 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 data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• 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 industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project.
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors.
• Preparation of results for industry communications, presentations, and academic articles for journal publications.
• Guide, mentor, and supervise research associates on the project team.
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives.

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.
• Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.
• Database management experience is desired.
• 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.
• Strong verbal and interpersonal communication skills, along with written communication skills.

Seniority level

Not Applicable

Employment type

Full-time

Job function

Research, Analyst, and Information Technology

Industries

Higher Education, Education Administration Programs, and Strategic Management Services