Total 104 management trainee job vacancies in Education / Training category in D21 Upper Bukit Timah, Clementi Park, Ulu Pandan

Location of Internship: Bukit Panjang

Job Responsibilities:

• Plan, supervise, and implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre
• Assist in preparing and implementing the programs for children
• Assist with planning, share ideas and exchange feedback with the entire team once a month or at the beginning of a Unit of Inquiry.
• Prepare age and developmentally appropriate teaching aids.
• Evaluate and maintain records of children’s development.
• To render basic first aid as and when necessary.
• Responsible for the upkeep of teaching resources, prepare art and craft materials, arrangement, appearance, decorations, and learning environment of the classroom.
• Use positive discipline techniques at all times.
• Maintain and build relationships with children and parents.
• Entry Level specialized in Education or equivalent.

Job Requirements:

• Creative and inspiring with loving energy
• Excellent communication and classroom management skills
• Be familiar with all working curriculum documents, handbooks and policy manuals
• Knowledge in educational development

Job Description & Requirements

We are looking for passionate individuals who would like to join the Early Childhood industry, responsible and love working with very young children, You will also be fully sponsored for DPE-T / ACEY / HCIC! This is a full-time role as a Trainee Teacher in our childcare centre, while being sponsored for the course.

Job Description

• Prepare and implement the programs and teaching aids.
• Maintain teaching resources, arrangement, appearance, decorations, and learning environment of the classroom.
• Excellent in classroom management and maintaining good parent-relations.
• Shadow main classroom teacher, focus on routine duties.
• Enhance trusting, respectful relationships with children through classroom curriculum and programmes

Requirements:

• Local qualification :O-Levels or Diploma/N-Levels/ Secondary 3
• Enjoy working with young children
• Good communication and interpersonal and organizational skills

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

Research Associate (Biorisk Management: Projects Development)

Job Description

The Asia Centre for Health Security (ACHS) at the National University of Singapore School of Public Health (NUS SPH) is seeking a Research Associate with experience to support Centre leadership in developing biorisk management projects, focused on biosafety and biosecurity in Asia and beyond.

The RA will work with the Lead to: a) develop a webinar series to raise awareness and understanding of accidental and deliberate biological threats; b) translate public health, scientific guidance or clinical guidance into practical and contextualized resource materials for implementation; c) organize biosecurity workshops and training content; d) write papers for a range of audiences including website content, peer-reviewed publications, or policy papers.

The RA will be expected to work independently under the supervision of Centre leadership, interact with other ACHS staff, and external organizations, speakers and fellows.

Requirement

Applicants are expected to have at least a Master’s degree from an established University, preferably in biotechnology, biology, life sciences, medicine or public health.

An ideal candidate would have the following qualities:
• Independent, reliable, well-organised, meticulous attention to detail, focused
• Demonstrate excellent English written and verbal communication skills
• Able to communicate scientific concepts clearly and concisely
• Entry Level candidates with relevant training or expertise are welcome to apply

The grade of appointment will be accorded based on qualifications and work experience.

Qualifications

Applicants are expected to have at least a Master’s degree from an established University, preferably in biotechnology, biology, life sciences, medicine or public health.

Department Description

The Global Markets Quant research team is responsible for analyzing fundamental, macro-economic and financial market trends using statistical and mathematical techniques and providing investment advice to clients regarding currency and interest rate markets. The incumbent will work closely with the global quant team and gain experience in global markets, including key aspects of how to create models to analyse various aspects of financial markets. The role sits has a high level of interaction with the global research, sales, and trading teams.

Responsibilities:

• Assisting in the creation of new models and techniques for analysing data from a risk perspective
• Assisting in automating current projects and creating a library for data visualization techniques
• Developing and maintaining quantitative tools and statistical models for analyzing and forecasting asset markets
• Helping to identify trading opportunities across asset classes
• Assist the EM Strategist in ad-hoc tasks and projects

Profile Required:

Academic Background and Certifications, Experience

• Bachelor’s Degree minimum; Economics, engineering, mathematical, quantitative, financial engineering background
• Previous research experience a plus, but not mandatory
• Knowledge of programming is mandatory (R or Python) – R is preferred

Operational Skills

• Motivation to learn about financial markets and a good team spirit
• Strong knowledge in market finance, mathematics or economics
• Strong programming skills
• Excellent attention to detail
• Assist with compiling and analyzing macroeconomic and financial market data
• Contribute to the analysis and interpretation of research studies
• Be an independent self-starter and be able to work accurately under time constraints

Behavioral Skills

• Client - Understanding and Respect: I listen to clients and colleagues in order to understand and anticipate their needs
• Team Spirit - Synergies: I make cooperation with colleagues in and outside my team a priority
• Innovation - Technology: I adopt new technologies in the solutions and projects I work on
• Responsibility - Performance: I strive for high performance
• Responsibility - Accountability: I make decisions in my scope of responsibilities
• Commitment - Sustainability: I strive to develop my skills and knowledge

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

This is a fixed term 12 month Trainee contract with Societe Generale. You will form part of the team on a full time basis. In order to apply for the Trainee position please ensure you have completed your qualification and will be available to work full time for the duration of the Trainee contract.

We regret that 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

The NUS Business School's Management and Organisation Department is seeking a Pre-Doctoral Research Assistant to support our faculty members in a wide range of research studies. The successful candidate will play a crucial role in the recruitment of study participants, management of data collection, and preliminary data analyses. This position offers the opportunity to work closely with faculty on exploring potential data sources and utilizing advanced research methodologies. The role is designed to serve as a bridge into a PhD program, providing hands-on experience in all stages of research production.

Responsibilities

• Assist with the creation and execution of research studies, including the recruitment of participants and data management. This entails utilizing Qualtrics for the distribution of online surveys and other data collection tools as required.
• Explore potential data sources and conduct preliminary analyses to support research objectives.
• Coordinate with team members and faculty to ensure the smooth running of research projects.

Required Qualification

• Academic Background: Possess a Bachelor's or Master's degree in Psychology, Sociology, Computational Social Sciences, or a related discipline.
• Research Experience: Demonstrated experience in conducting research, with a preference for those who have actively participated in research projects.
• Technical Proficiency: Familiarity in using online platforms such as Qualtrics for online survey distribution and data collection.

Additional Desirable Attributes

• Computational Proficiency: Skills in computational methods, including data scraping and handling large datasets, are highly valued.
• Data Analysis Skills: Familiarity with basic data analysis techniques and software, with the ability to apply these skills to research data.

Additional Details About the Job

This position is an excellent opportunity for individuals looking to deepen their research experience and prepare for a PhD program at a business school in a supportive, dynamic environment. The chosen candidate will gain exposure to a variety of research methodologies and contribute to impactful studies in the field of business management and organisation.

To apply, please submit your

1. CV with listed reference contact;

2. Examples or summaries of past research outcomes (e.g., publication);

3. Reference letters; and

4. Short statement describing your motivation for the application.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.
Future ship and system design (FSSD) program develop strategic and innovative design capabilities for maritime industry in Singapore and beyond.

The work package WP2.2 in FSSD will conduct the research in the areas of design FMECA, functional FMECA, advanced sensing techniques, sensor and operation data fusion, data analytics and machine learning algorithms for electrical vessels condition monitoring, fault diagnosis and early fault prediction.

The primary responsibility of this role is to deliver on Ship-level intelligent Equipment Health Monitoring (EHM) and will be part of the research team in the FSSD program.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  i. To develop the component level generic Equipment health management (EHM) that use sensor-based and operational data.
  ii. To develop the ship level EHM that integrates the components EHM into the system EHM.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of sensing or data analytics or equipment health management.
• Have a degree in EE/ICT, or mechanical engineering or equivalent.
• Knowledge of equipment health management and programming will be advantageous.

Key Competencies

• Good knowledge in sensing, programming, data analytics.
• Experience in equipment health management will be advantageous.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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

In the era of rapidly advancing artificial intelligence, the project aims to bridge the gap between human language understanding and mathematical problem formulation. This project leverages the power of large language models to transform natural language data into basic mathematical programming formulations, specifically focusing on linear programming problems (mainly in the field of supply chain and logistical) with restricted variables and constraints.

Qualifications

• Holding a Bachelor’s degree in Computer Science, Industrial Engineering, Mathematics, or other related Engineering or Science disciplines.

• Background in Natural Language Processing (NLP): Candidates should have some understanding of machine learning principles, particularly in the field of NLP. The candidate should be familiar with transformer architectures, such as BERT, GPT, or T5, and have experience in fine-tuning and training these models on large datasets.

• Proficiency in Mathematical Optimization: Prior exposure to understanding of mathematical optimization techniques, especially linear programming, is essential. The candidate should be proficient in formulating optimization problems, interpreting constraints, and defining objective functions.

• Programming Skills: Strong programming skills are preferred, particularly in languages commonly used in machine learning and NLP, such as Python. Candidates should be adept at libraries and frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and Scikit-learn.

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

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

We regret that only shortlisted candidates will be notified.

Asia Research Institute (ARI)

The Asia Research Institute (ARI) was established as a University-level institute in July 2001 as one of the strategic initiatives of the National University of Singapore (NUS). Our mission is to provide a world-class focus and resource for research on the Asian region, located at one of its communication hubs. ARI research engages important challenges facing the region and wider worlds, ranging from migration and child health, to ageing and care ethics, to the governance of transboundary haze.

We are looking for suitable candidates to fill the position of Institute Research Assistant/Associate (Communications and Content Management), to disseminate the work of our researchers.

Job Description

The position will involve developing and executing the Institute’s communication strategy, especially through the creation, operation and maintenance of online and social media platforms. You will work closely with ARI staff to highlight and communicate the Institute’s work and to oversee digital initiatives to make our research findings accessible to the wider public in Singapore and internationally. In addition, you will be responsible for rewriting content for different audiences such as through Twitter, Facebook, conference reports and researcher profiles. The role will also involve journal co-ordination work.

Job Requirements

• The applicant should possess a Masters, Honours degree or equivalent in the Social Sciences or Humanities or Media and Communications.
• Excellent verbal communication and writing skills (English Language).
• Ability to edit and write proficiently for an academic and general audience.
• Experience in official content management for social media platforms/tools (e.g. X, Facebook, Instagram and Wordpress), website and database content creation and management.
• Be creative, intellectually curious and proactive.
• General interest in current affairs and issues related to Asia.

Application Procedure

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 500 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Only shortlisted applicants will be notified. Shortlisted applicants may be called for an interview.

Are you enthusiastic about instilling essential values in young children?

Considering a career in the Early Childhood industry?

Receive a full pay and study for half the day to be a certified preschool teacher.

Join our fully sponsored Preschool Teacher Trainee program, designed to enhance your academic development in Early Childhood Care and Education while gaining practical experience through the Career Conversion Program initiative at our preschool.

Throughout your tenure, enjoy an attractive starting salary with incremental raises, all while having your Professional Certificate (ACECCE) or Professional Diploma in Early Childhood Care & Education (PDECCE) fully covered.

Upon program completion, transition into a certified, full-time Preschool Teacher, fulfilling the required commitment with us.

Responsibilities include educating children, ensuring their well-being, organizing teaching activities, and conducting assessments of learning progress.

Requirements:

• Not completed any diploma or degree within the last 2 years
• worked in non-related fields for the last 2 years
• Possess a Degree/Diploma from a local polytechnic in any discipline
• Able to communicate in English language for effective communication with parents

Benefits:

• Full Sponsorship for teaching qualification
• Progressive salary increments during your study
• Annual leave, Child Care leave, Medical leave
• Bonuses and incentives

Ready to embark on a fulfilling journey in Early Childhood education?

Learning, Teaching, and Assessment

• Provide effective support to the School in teaching, including development and maintenance of academic standards.
• Plan, prepare and deliver lessons and set assessment and learning activities to a range of classes (lecturers/tutorials/asynchronous) and age groups of students (including overseas colleges, if required).
• Administer the setting and marking of coursework and examination.
• Review and ensure the quality of examination papers under area(s) of specialisation.
• Manage the moderation of coursework and examination results.
• Conduct objective assessments on examination appeal cases.
• Monitor student progress through the application of formative and summative assessment strategies that support appropriate feedback and skills development.
• Monitor student success rates to an agreed standard across all student levels.
• Conduct objective assessments on examination appeal cases.
• Conduct administration duties pertinent to the programmes of study in the School.
• Engage in student development by providing strong learning support and monitoring of students’ academic performances.

Programme Management & Curriculum/ Partnership Development

• Periodically review and develop programmes pertinent to the School to ensure continued relevance and quality improvement of curricula.
• Evaluate and recommend appropriate teaching materials to cover the learning outcomes of the different programmes of study.
• Develop online learning strategies with a duality of pedagogical functions (online learning, Blended learning).
• Support Assistant Director (Academic) in exploring new programmes to grow the School.
• Support Assistant Director (Academic) in academic partnerships and courses.
• Coordinate and prepare information for inspection and quality assurance assessments.
• Undertake knowledge exchange and other scholarly activity to contribute to the development of new areas in the relevant subject field.
• Lead as Module Leader/Programme Leader and monitor and assess performance of Associate Lecturers.
• Advise students with respect to academic performance, career opportunities, and pursuit of advanced studies.
• Ensure that programme design and delivery is consistent with the academic framework and quality standards and regulations of PSB Academy.

Research & Knowledge Exchange

• Expected to have knowledge and understanding of e-learning platforms such as Blackboard etc.
• Represent the School in selected academic committee, where necessary.

Others

• Represent and participate in marketing events for the School.
• Perform other duties/projects as assigned by the Assistant Director (Academic) / Director.

Job Requirements

• Minimum Degree (at least a pass at GCE ‘O’ level or its equivalent in the language medium of the programme/module.)
• More than 1 year of experience in teaching Business Modules.
• Teaching experience preferred.
• Experience or knowledge of module and/or programme leadership, development and administration within a higher education environment.
• Evidence of engagement in professional practice and the ability to design, deliver and assess a range of modules in and related to specialist areas of professional practice.
• Enthusiasm in working in an interdisciplinary context.
• Evidence of commitment to continuing professional development.
• Experience in working with digital technology including an interest in emerging technology and techniques and maintaining an active interest in related developments within the sector.
• Excellent interpersonal and communication skills.
• Good people skills and ability to handle difficult situations, lead and motivate people.
• Ability to work as part of a wider team involving senior managers.
• Forward and outlooking approach to the profession.
• An understanding of the changing landscape within the education sector nationally and internationally.
• Ability to work to goals irrespective of the working hours.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to design and develop a hybrid cloud and edge-based energy management (HCEEM) framework that enables virtual energy trading among distributed energy resources (DERs) and existing utilities, fostering a sustainable and efficient energy ecosystem.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PIs, collaborators, and the research team members to conduct research on DERs and energy management techniques, focusing on the design and development of the HCEEM framework.
• Lead the development of algorithms, models, and methodologies for virtual energy trading among DERs and existing utilities.
• Collaborate with a multidisciplinary team of researchers and engineers to implement and test the HCEEM framework.
• Collect and analyze data from DERs, utilities, and energy markets to evaluate the performance and effectiveness of the framework.
• Publish research findings in reputable journals and present at conferences and workshops.
• Mentor and collaborate with graduate students and junior researchers, providing guidance and support in their research activities.
• Assist in writing grant proposals and securing funding for future research projects.
• Collaborate with industry partners and stakeholders to ensure the practical applicability and relevance of the research outcomes.
• Carry out Risk Assessment, and ensure compliance with Work, Safety, and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Ph.D. in Electrical Power Engineering, Energy Management, or a related field, with a strong research focus on energy management and distributed energy resources. Candidates who have submitted their thesis can apply too.
• Extensive knowledge of energy management techniques, Smart Grid concepts, and virtual energy trading.
• Experience in algorithm development, optimization, and data analysis in the context of energy systems.
• Proficiency in programming languages (e.g., Python, MATLAB) and simulation tools commonly used in energy research.
• Strong analytical and problem-solving skills, with the ability to critically evaluate and interpret research data.
• Excellent written and verbal communication skills, with the ability to publish research findings and present at conferences.
• Proven track record of research publications in reputable journals and conferences.
• Ability to work both independently and collaboratively in a research team environment.
• Prior experience with cloud computing, edge computing, or energy market modeling is advantageous.
• Knowledge of regulatory frameworks and policies related to energy management and DER integration is a plus.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

Learning, Teaching, and Assessment

• Provide effective support to the School in teaching, including development and maintenance of academic standards.
• Plan, prepare and deliver lessons and set assessment and learning activities to a range of classes (lecturers/tutorials/asynchronous) and age groups of students (including overseas colleges, if required).
• Administer the setting and marking of coursework and examination.
• Review and ensure the quality of examination papers under area(s) of specialisation.
• Manage the moderation of coursework and examination results.
• Conduct objective assessments on examination appeal cases.
• Monitor student progress through the application of formative and summative assessment strategies that support appropriate feedback and skills development.
• Monitor student success rates to an agreed standard across all student levels.
• Conduct objective assessments on examination appeal cases.
• Conduct administration duties pertinent to the programmes of study in the School.
• Engage in student development by providing strong learning support and monitoring of students’ academic performances.

Programme Management & Curriculum/ Partnership Development

• Periodically review and develop programmes pertinent to the School to ensure continued relevance and quality improvement of curricula.
• Evaluate and recommend appropriate teaching materials to cover the learning outcomes of the different programmes of study.
• Develop online learning strategies with a duality of pedagogical functions (online learning, Blended learning).
• Support Assistant Director (Academic) in exploring new programmes to grow the School.
• Support Assistant Director (Academic) in academic partnerships and courses.
• Coordinate and prepare information for inspection and quality assurance assessments.
• Undertake knowledge exchange and other scholarly activity to contribute to the development of new areas in the relevant subject field.
• Lead as Module Leader/Programme Leader and monitor and assess performance of Associate Lecturers.
• Advise students with respect to academic performance, career opportunities, and pursuit of advanced studies.
• Ensure that programme design and delivery is consistent with the academic framework and quality standards and regulations of PSB Academy.

Research & Knowledge Exchange

• Expected to have knowledge and understanding of e-learning platforms such as Blackboard etc.
• Represent the School in selected academic committee, where necessary.

Others

• Represent and participate in marketing events for the School.
• Perform other duties/projects as assigned by the Assistant Director (Academic) / Director.

Job Requirements

• Minimum Degree (at least a pass at GCE ‘O’ level or its equivalent in the language medium of the programme/module.)
• 3 to 4 years of experience.
• Teaching experience preferred.
• Experience or knowledge of module and/or programme leadership, development and administration within a higher education environment.
• Evidence of engagement in professional practice and the ability to design, deliver and assess a range of modules in and related to specialist areas of professional practice.
• Enthusiasm in working in an interdisciplinary context.
• Evidence of commitment to continuing professional development.
• Experience in working with digital technology including an interest in emerging technology and techniques and maintaining an active interest in related developments within the sector.
• Excellent interpersonal and communication skills.
• Good people skills and ability to handle difficult situations, lead and motivate people.
• Ability to work as part of a wider team involving senior managers.
• Forward and outlooking approach to the profession.
• An understanding of the changing landscape within the education sector nationally and internationally.
• Ability to work to goals irrespective of the working hours.

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

ACCOUNTABILITIES

Academic Support

• Deliver and/or facilitate course lectures / tutorials / lab sessions related to the domain expertise, according to prescribed lesson plans to meet the desired learning outcomes and create an engaging and enriching environment for learning.
• Coordinates with course coordinators / course leaders and/or associates regarding course assessments, moderation, and examination.

Academic Quality Assurance

• Implement SIM GE academic processes, policies and procedures.
• Maintain robust/fair and rigorous assessment standards and workflow.

Administrative Support to Relevant Divisions and/or Departments

• Provide inputs to internal administrative divisions and/or departments on teaching and learning development in the domain areas offered by SIM GE and University Partners.

JOB REQUIREMENTS

• A minimum of a Master’s degree with good knowledge in at least two *disciplines within the department is required.
• Relevant work and teaching experience in at least two *disciplines relevant to the department in a higher education environment is required.
• Knowledge of digital learning tools and the ability to select teaching methods appropriate for the industry and audience is an added advantage.
• Comfortable working independently or as a team player who can work across the organisation's various internal and external levels.
• Strong written, presentation, and interpersonal communication skills and able to liaise with Mandarin-speaking stakeholders, is an added advantage.
• Self-motivated, well-organised, detail-oriented with a strong commitment to quality control, and able to multi-task and work under deadlines.
• Strong problem-solving skills using innovative and proactive approaches.
• Demonstrate professionalism and student centricity to meet the learning needs of our students.

List of *disciplines:

• Accounting Business
• Computer Science
• Economics
• Finance
• Information Systems and Analytics Language
• Communication and New Media
• Management and Organisation
• Marketing
• Mathematics and Statistics

We regret that only shortlisted candidates will be notified.

We are seeking qualified candidates to join our Early Career Investor (ECI) Program and will initially be based in the Singapore office. The goal of the Program is to support the firm’s mission of superior investment performance. Additionally, we aim to identify and develop exceptional Early Career Investors (ECIs) to build our pipeline of talented investors. Program participants will play a critical role in assisting experienced analysts and portfolio managers in conducting research and implementing their investment process.

ECIs are hired globally, domiciled out of our Boston, London, Singapore, Hong Kong and Tokyo offices. Rotational opportunities (both short and longer term in nature) may be available between our global office locations listed above, along with our Radnor, PA location. Interested candidates should have geographic flexibility.

In the first couple of years in the role, ECIs will have the opportunity to rotate across the Investment Platform, within and between the Investment Research, Investment Boutiques, Investment Strategy and Investment Science groups. Typically, rotations are approximately 12 months in length however the duration, nature, and number of rotations will vary considerably based on investor needs, fit, and the participants’ skills and interests.

Examples of the nature of the work include:

• Analyzing potential investment opportunities
• Building and maintaining company financial spreadsheets
• Modeling sophisticated financial instruments
• Completing complex analytical projects
• Researching macroeconomic themes
• Interpreting company announcements
• Attending company meetings & conferences
• Developing & communicating investment ideas in spoken & written form
• Creating visualizations and dashboard views using various data sets
• Researching ESG factors and their impact on investments

Qualifications

The size of the Program is intentionally kept small to ensure participants receive personalized attention. There is a competitive and rigorous interview process for each applicant.

We are seeking candidates who display the following characteristics:

• Strong academic credentials
• At least 3 years of investment related experience
• Demonstrated interest in and passion for investing and strong desire to analyze investment opportunities
• Intellectually curious and mentally flexible, strong growth mindset, focused on continuous improvement, willingness and ability to take risk, strong learning orientation and willingness to try new things, and brings a broad, differentiated perspective
• Analytical and problem-solving skills: must be able to synthesize disparate information, identify the most important elements, and arrive at a conclusion
• Aptitude for building investment science skill sets. While no previous technical skills are needed, we are looking for individuals that are willing to learn and have an interest in the intersection of science and investing

Other important qualifications include:

• Consistent track record of achievement, strategic thinking, initiative, humility, and the ability to learn from and collaborate with colleagues
• Progression towards the CFA and non-English language skills (especially Asian languages),will be viewed favorably

P0005

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

· To understand each department’s daily processes e.g., marketing, sales, human resource, operations etc.

· Be open to learn new things and enjoy the learning journey

· Job rotation between various departments

· Participating in meetings, workshops, and events

· Compiling analysis and making presentations to other team members

· Completing fieldwork and providing evaluation analysis of the company’s services

· Learn various staff functions, including management viewpoints, company policies and practices affecting each phase of business

· Fulfilling any requirements and meeting goals set out at the start of the traineeship

· Observe experienced staffs to acquire knowledge of methods, procedures, and standards required for performance of departmental duties

· Provide support as needed in the various departments, including data-entry, presentation creation, strategic planning, client service matters as needed

· Report on company progress

· Compile and evaluate performance reports

JOB REQUIREMENTS

· Minimum Diploma and above

· Willing to learn and flexibility to adapt to working environment

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278