Total 4 Digital Analyst job vacancies in Science / R&D / Research category in D11 Novena, Thomson, Watten Estate

As a Senior Actuarial Analyst in the Department, you will:

• Work with a multitude of internal and external stakeholders (consultants, industry workgroups, government ministries/agencies etc) on actuarial and insurance-related tasks and projects.
• Setup and perform ongoing enhancement of the actuarial processes and workflow (covering modelling, valuation, experience studies, key risk monitoring, pricing analysis etc) to manage the CPFB insurance schemes.
• Operationalise regulatory framework and industry best practices for CPFB insurance schemes.
• Conduct research on actuarial approaches relevant for CPFB insurance schemes.
• Leverage on data analytics to conduct actuarial analyses to support the Board’s initiatives to benefit CPF members.

What we are looking for

• At least 3 years of actuarial experience with robust technical, analytical, and problem-solving skills.
• Good knowledge of actuarial principles, methods, and practices, with the ability to apply them effectively in a business context.
• Proficiency in FIS insurance risk suite (Prophet) and expertise in data analytics/statistical programming (e.g., Python and Power BI) is advantageous.
• Good understanding of the current regulatory framework and industry practices.
• Effective communication and stakeholder management skills.
• A strong passion for delivering high-quality work and devising solutions for challenging industry issues.
• Good progress in professional actuarial qualifications is preferred.

Seniority of appointment will commensurate with relevant work experience.

What you can expect

• A challenging and rewarding career
• A variety of formal and informal training to enhance your skills in the evolving technology landscape
• Promotion opportunities based on your capability and on-the-job performance
• A friendly work environment with like-minded colleagues to co-create and collaborate together
• A hybrid work model allowing remote work for up to 50% of the time, contingent upon the exigencies of service
• A productive yet growth-oriented workplace with a flexible dress code empowering you to decide your appropriate outfit for the day
• A comprehensive rewards package
• Annual leave and pro-family leave
• Medical and dental benefits
• Access to recreational activities
• Position is on 2-year full time contract directly under the payroll of CPF Board with potential for emplacement into permanent position.

As a Senior Actuarial Analyst in the Department, you will:

• Work with a multitude of internal and external stakeholders (consultants, industry workgroups, government ministries/agencies etc) on actuarial and insurance-related tasks and projects.
• Setup and perform ongoing enhancement of the actuarial processes and workflow (covering modelling, valuation, experience studies, key risk monitoring, pricing analysis etc) to manage the CPFB insurance schemes.
• Operationalise regulatory framework and industry best practices for CPFB insurance schemes.
• Conduct research on actuarial approaches relevant for CPFB insurance schemes.
• Leverage on data analytics to conduct actuarial analyses to support the Board’s initiatives to benefit CPF members.

What we are looking for

• At least 3 years of actuarial experience with robust technical, analytical, and problem-solving skills.
• Good knowledge of actuarial principles, methods, and practices, with the ability to apply them effectively in a business context.
• Proficiency in FIS insurance risk suite (Prophet) and expertise in data analytics/statistical programming (e.g., Python and Power BI) is advantageous.
• Good understanding of the current regulatory framework and industry practices.
• Effective communication and stakeholder management skills.
• A strong passion for delivering high-quality work and devising solutions for challenging industry issues.
• Good progress in professional actuarial qualifications is preferred.

Seniority of appointment will commensurate with relevant work experience.

What you can expect

• A challenging and rewarding career
• A variety of formal and informal training to enhance your skills in the evolving technology landscape
• Promotion opportunities based on your capability and on-the-job performance
• A friendly work environment with like-minded colleagues to co-create and collaborate together
• A hybrid work model allowing remote work for up to 50% of the time, contingent upon the exigencies of service
• A productive yet growth-oriented workplace with a flexible dress code empowering you to decide your appropriate outfit for the day
• A comprehensive rewards package
• Annual leave and pro-family leave
• Medical and dental benefits
• Access to recreational activities
• Position is on 2-year full time contract directly under the payroll of CPF Board with potential for emplacement into permanent position.

As member of our R&D team, the person will work on applications of AI & machine learning to solve large-scale business problems in retail and supply chain management, collaborating with both colleagues and partner organizations in Singapore and abroad.

Responsibilities:

● Communicate with our clients to understand their current pain points and how AI / machine learning can be applied to improve their bottom line. This can include discussions with clients’ management, information technology team, or specialists from other fields (such as logistics).

● Work with other R&D team members both in Singapore and abroad to develop proofs-of-concept of solutions and present it to our clients.

● Together with other R&D team members and partner organizations, develop said proofs-of-concept into systems capable of handling large volumes of data in production environments.

● Keep up with technology developments related to AI, machine learning, and engineering of large-scale software systems.

Requirements:

● At least a bachelor’s degree in computer science, computer engineering or related field.

● Good knowledge of AI and machine learning, particularly time-series analysis and forecasting. This includes trade-offs related to selection of data pre-processing steps, algorithms, and evaluation metrics.

● For R&D Engineer: Preferably 2 years of experience in machine learning system development.

● For Senior R&D Engineer: Preferably 4years of experience in machine learning system development. Alternatively, post-graduate research experience with publications related to AI/ML in reputable journals or conferences.

● Proficiency in Python and libraries related to data processing such as pandas or polars is a must. Proficiency in at least one additional popular programming language (e.g., Java, JavaScript, C++, C#, Go, PHP) is strongly preferred.

● Good knowledge of software engineering and data engineering concepts, such as algorithmic complexity, architectural patterns, and version control.

● Understanding of containerization and automated test is a plus.

● Working knowledge of either GCP, AWS, or Azure, particularly services related to AI/ML, CI/CD, and data engineering.

● Excellent verbal and written communication skills. This includes the ability to clearly explain technical matters such as system design decisions to non-technical audiences.

● Experience working in projects that involve stakeholders based in different countries will be a plus.

As a Senior Actuarial Analyst in the Actuarial Services Department of CPF Board, you will play a crucial role in ensuring the sustainability of the insurance schemes under the CPF Board. You will be responsible for conducting actuarial analysis, managing and enhancing actuarial models, and operationalizing the implementation of regulatory framework and industry best practices for CPFB's insurance schemes. You will also work closely with internal and external stakeholders such as actuarial consultants and Government Ministries on actuarial and insurance issues.

Job Responsibilities

• Work with stakeholders on actuarial and insurance related tasks and projects
• Assist to operationalise regulatory framework and industry best practices for CPFB insurance schemes
• Conduct analysis, provide insights and monitor key risks for CPFB insurance schemes
• Manage and enhance actuarial and analytical models
• Conduct research on actuarial approaches relevant for CPFB insurance schemes
• Produce actuarial analytics and projects that support the Board’s initiatives

Job Requirements

• Actuarial or related degree with professional actuarial qualifications in progress
• At least 3 years of actuarial experience with strong technical, analytical, and problem-solving skills
• Experience in FIS insurance risk suite (Prophet) and data analytics/statistical programming is an advantage
• Good understanding of current regulatory framework and industry practices
• Good communication and stakeholder management skills