Total 19 digital design manager job vacancies in Science / R&D / Research category in Singapore

About the company
Our client is a Global Fortune 500 financial services group. With an "A" rating for financial strength, they combine deep-rooted heritage with a forward-thinking approach to product innovation. Currently in an exciting phase of expanding their Life Insurance portfolio, specifically targeting the High-Net-Worth (HNW) and Investment-Linked segments. Employees here enjoy a stable, professional environment that prizes technical excellence and offers a clear pathway for career progression within a collaborative actuarial team.

About the job
Joining a high-performing Actuarial Pricing team, you will play a pivotal role in the end-to-end development of innovative life insurance solutions. This role is a blend of technical rigor and strategic influence, focusing on the design and pricing of sophisticated wealth management products.

• Calculate the costs and risks for new insurance plans to ensure they are both profitable for the company and attractive to customers.
• Build and run financial models to predict how products will perform under different market conditions.
• Prepare the necessary documentation and reports for management and local regulators to get new products approved.
• Review competitor products and market trends to help the company stay competitive.
• Work with the sales and investment teams to make sure the products meet the needs of the target audience.

Skills and experience required

• At least 5 years of actuarial experience within a Life Insurance environment. Direct experience in IUL or ILP pricing is highly advantageous.
• Good progress in actuarial exams from a recognized institute (IFoA, SOA, or equivalent).
  
• Advanced skills in Prophet (including ALS if possible) and Excel/VBA. Familiarity with Python or R is a plus.
  
• Strong understanding of Singapore’s regulatory landscape (RBC2) and IFRS 17.
• Excellent communication skills with the ability to translate complex actuarial concepts into actionable business insights for non-technical stakeholders.

To apply online please use the 'apply' function, alternatively you may contact Lynette Lim.
(EA: 94C3609/ R1435181 )

Conduct R&D for Refrigerant Equipment and lead a Team of Technicians and assistant engineer. Full and hands on experience with Testing of refrigerant screw, scroll, centrifugal and reciprocating compressors. Able and have hands on experience to disassemble, troubleshot, repair and train technicians and engineers for this above task. Have Full and Hands on experience in CAD and CAM software for manufacturing and able to guide technicians and engineers in this task. Full understand and hands On experience in CNC Machine like Milling, Lathe, Laser, Press Brake etc and able to guide and
Have full and hands on PLC programming experience in Codesys software and guide technicians and engineers to develop controls algorithm for refrigeration systems and testing software.

Importantly, Able to have innovative and creative ideas for new compressors, heat exchangers & control features for refrigeration equipment.
Willing to Travel and able to work independently for long periods.

At least 20 years experience in the above.

At Income Insurance, we aim to create exponential value and cultivate dynamic learning culture. As part of Income’s Actuarial Pricing Team, candidate will work closely and collaborate with stakeholders across the organization to deliver business-oriented, customer-focused and innovative insurance solutions. This role is intended for an experienced individual contributor who can independently deliver health pricing workstreams while working under guidance from senior leaders.

Key Responsibilities include:

• Close collaboration with Product Development Team and relevant business stakeholders to design and devise innovative product proposition and support product pricing and implementation, while ensuring internal financial metrics are met.
• Work closely with Manager, Head of GH Pricing, Chief Actuary and other senior stakeholders, as required, to support and contribute actuarial analysis and pricing recommendations aligned with company product strategy for the health business. 
• Monitor portfolio experience, conduct experience studies to set pricing assumptions and perform periodic repricing exercise. Provide insights on key drivers and emerging risks. Strengthen technical pricing and analytics for the team tapping on data-driven insights using external and internal data sources
• Adopt best practices and effective controls and monitoring framework in the delivery of pricing work to protect Income against regulatory, financial and reputation risk.
• Enhancing Actuarial Pricing Process to improve efficiency, robustness and turnaround time.
• Adopt design‑thinking and agile principles, in delivering pricing and product‑related projects

Qualifications:

• Good progress in actuarial qualifications with either US, UK, or Australia Actuarial Institute, with at least 4 years of work experience in Actuarial function.
• Experienced in health and protection product development and pricing
• Experience in using actuarial modelling tool and data software such as Prophet & Alteryx will be a plus
• Able to work independently with strong project management, communication and actuarial technical skills.
• Confident in constructively challenging the status quo and proposing improvements to drive better outcomes
• Adaptable and open to dynamic working environment and willing to explore new ways of working.
• Experience in stakeholder management and/or project‑based work.

Job Summary

We are seeking a highly skilled Financial Data Analyst with strong experience in Life & Annuity actuarial functions. The ideal candidate will bring deep expertise in financial data analytics, asset modeling, and programming (Python), along with a solid understanding of insurance and investment principles. This role will support actuarial modeling, financial reporting, and strategic decision-making through data-driven insights.

Key Responsibilities

• Analyze large and complex financial datasets related to life and annuity products to support actuarial valuations and reporting.

• Develop, maintain, and optimize data pipelines and analytical models using Python.

• Perform asset modeling and support Asset-Liability Management (ALM) processes.

• Collaborate with actuarial, finance, and investment teams to deliver actionable insights.

• Support financial forecasting, valuation, and risk analysis for insurance portfolios.

• Automate reporting processes and improve efficiency in data handling and analysis.

• Ensure data quality, integrity, and compliance with regulatory and internal standards.

• Assist in the development and validation of actuarial and financial models.

• Interpret and communicate analytical results to stakeholders in a clear and concise manner.

Required Qualifications & Experience

• Bachelor’s or master’s degree in actuarial science, Finance, Statistics, Mathematics, or a related field.

• 7+ years of experience in financial data analytics, preferably within life insurance or annuity domains.

• Strong hands-on expertise in Python (Pandas, NumPy, data visualization libraries).

• Proven experience in financial data analysis and reporting.

• Experience with asset modeling and/or Asset-Liability Management (ALM).

• Solid understanding of actuarial concepts in life and annuity products.

Preferred Skills

• Knowledge of insurance investment strategies and financial instruments.

• Experience working with actuarial modeling tools (e.g., Prophet, AXIS, MG-ALFA, or similar).

• Familiarity with regulatory frameworks (e.g., IFRS 17, Solvency II, US GAAP).

• Strong SQL and database management skills.

• Experience with data visualization tools (e.g., Power BI, Tableau).

• Actuarial exams progress or certification (preferred but not mandatory).

Key Competencies

• Strong analytical and problem-solving skills.

• Attention to detail and data accuracy.

• Effective communication and stakeholder management.

• Ability to work collaboratively in cross-functional teams.

• Proactive mindset with a focus on continuous improvement.