Career Opportunities

RESPONSIBILITIES

Successful applicant will play an active role in overseeing the organisation's knowledge and information assets, ensuring effective retention, management, and sharing. The key responsibilities include:  

• Ensure proper filing and recordkeeping of all documents and information by SEAB staff to facilitate future efficient retrieval and knowledge retention
• Develop systematic records declassification approach and structure and perform records declassifications in accordance with IM4L procedures
• Conduct proper disposal of hardcopy records and documents that have passed the retention period
• Coordinate and support the divisions on migration of records to MS Teams
• Utilise emerging technologies to modernise and optimise SEAB’s records management processes
• Identify records management learning needs for SEAB officers and design and roll out appropriate records management education content and outreach materials, including e-Learning, virtual sharing and face-to-face clinic sessions to meeting these learning needs
• Manage contracts and tenancy agreement lifecycle, including drafting and renewal processes
• Coordinate and document asset condemnation and disposal procedures, ensuring timely and accurate submissions
• Efficiently manage room bookings and event setups to support exam operations, with focus on quick turnaround times; contribute to the ongoing review and improvement of existing processes for enhanced effectiveness

REQUIREMENTS

• Diploma in business administration or related discipline; at least 2 years of relevant experience in records management is highly desirable
• Demonstrates knowledge of records management concepts, principles, and current industry practices
• Experience in event management
• Experience in data analytics and use of data visualisation tools will be advantageous
• Possesses strong critical thinking, good communication, writing and presentation skills

Successful applicant will play an active role in handling, analysing and mining data to provide meaning analysis and visualisation for decision making. The key responsibilities include:  

• Analyse large amount of data for trends and patterns, and build predictive models and machine learning algorithms
• Apply sound methodologies in data science, statistical analysis and data mining
• Perform data visualisation to derive insights and value-add to decision making
• Develop automated marking models for different subjects with constructed responses ranging from answers that are one sentence in length to complex answers requiring an essay or analysis

REQUIREMENTS

• Tertiary Qualification in Data Science, or Computer Science, or Statistics, with a minimum of 2-3 years’ experience in manipulating data sets, building statistical models and hands-on experience in machine learning applications
• Fresh graduates with relevant exposure can be considered
• Strong in programming experience and proficient in Python/R/C++
• Possess knowledge of a variety of machine learning techniques, such as clustering, recommender systems, Natural Language Processing, Deep learning etc., and their real-world applications
• Possess knowledge of advanced statistical techniques and concepts, such as regression, properties of distributions, statistical tests and proper usage, etc.