Total 26 sales manager job vacancies in Science / R&D / Research category in Indonesia

MANAGER/ SENIOR MANAGER - Electrical and Motion Control (Hardware/Technical/ Engineering/ Automation/ Control/Mechatronics/R&D)

Our client is a leading organisation specialised in developing Semiconductor machines.

Responsibilities: 

• Lead and manage Motion Control, Electrical Hardware, and Electrical Design team, providing both people and technical leadership.

• Define overall technical direction for motion control systems and electrical hardware architecture for semiconductor equipment.
• Guide motion control modelling, control algorithms, and system analysis for high-speed,high-precision applications.
• Oversee electrical schematic design, power electronics, motor drivers, and control boards.
• Support new product development from concept, design, prototype, Alpha/Beta testing through product release.
• Ensure designs meet performance, reliability, cost, and schedule targets.
• Establish and maintain design guidelines, standards, and best practices.
• Review and approve key technical designs and resolve complex technical issues.
• Develop team capability through coaching, mentoring, and performance management.
• Work closely with cross-functional teams (Mechanical, Software, Manufacturing, Applications, QA).

Requirements:

• Degree in Electrical / Electronic Engineering or related discipline.
• Minimum 10 years of relevant experience in industrial automation, semiconductor equipment, or precision machinery industry.
• Expertise in motion control modeling and algorithms for ultra-high speed and high accuracy applications.
• Proficient in control system analysis and design, including servo motor and motion control systems.
• Strong knowledge of digital electronics and power electronics design, including power supplies and motor drivers.
• Familiarity with analytical and simulation tools such as MATLAB, MathCAD, or equivalents.
• Understanding of electromagnetic technology for motor design.

Interested candidates, please e-mail resume in Word document (indicating your current salary and expected salary) to:

Poh Baoyu (Joey)

Recruitment Manager

Right Recruit Pte. Ltd.

10 Anson Road, #33-03, International Plaza, Singapore 079903

EA Licence No: 23C1743 | EA Reg No: R1103523

www.rightrecruit.com.sg

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

We are currently seeking a high calibre professional to join our team as an Manager, Actuarial Services.

In this role you will:

• Be part of Par & Universal Life Fund Management and Experience Studies team.
• Be responsible for supporting experience monitoring, assumption setting, and   Universal Life fund management.
• Support the monthly and quarterly delivery of management information for internal stakeholders.
• Support in ad-hoc actuarial projects and enhancement project of existing processes.
• Work with internal and external stakeholders to deliver the assigned tasks.
• Maintain documentation as per HSBC guidelines.

To be successful you will need: 

• University graduate in a relevant discipline in Actuarial Studies, with good progress in actuarial exams of an international recognized actuarial body.
• Relevant Actuarial experience, candidate with less experience will be considered for Associate position.
• Good communication skills, both written and spoken.
• Ability to work independently, interact with other departments
• Good technical, analytical and problem solving skills; Experience in SQL/Python and/or Prophet is a plus.
• Team player with good interpersonal skills and positive attitude.

Opening up a world of opportunity

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by The Hongkong and Shanghai Banking Corporation Limited.

https://www.youtube.com/embed/NIa2CodFG6E?si=sFOWeYmq5fs3vE5i%22

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

We are currently seeking a high calibre professional to join our team as an Manager, Actuarial Services.

In this role you will:

• Be part of Par & Universal Life Fund Management and Experience Studies team.
• Be responsible for supporting experience monitoring, assumption setting, and   Universal Life fund management.
• Support the monthly and quarterly delivery of management information for internal stakeholders.
• Support in ad-hoc actuarial projects and enhancement project of existing processes.
• Work with internal and external stakeholders to deliver the assigned tasks.
• Maintain documentation as per HSBC guidelines.

To be successful you will need: 

• University graduate in a relevant discipline in Actuarial Studies, with good progress in actuarial exams of an international recognized actuarial body.
• Relevant Actuarial experience, candidate with less experience will be considered for Associate position.
• Good communication skills, both written and spoken.
• Ability to work independently, interact with other departments
• Good technical, analytical and problem solving skills; Experience in SQL/Python and/or Prophet is a plus.
• Team player with good interpersonal skills and positive attitude.

Opening up a world of opportunity

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by The Hongkong and Shanghai Banking Corporation Limited.

https://www.youtube.com/embed/NIa2CodFG6E?si=sFOWeYmq5fs3vE5i%22

The Senior Analytical Science & Technology Manager is accountable for end-to-end analytical science and QC laboratory quality systems governance, ensuring robust analytical execution, compliant laboratory systems, and sustained inspection readiness in support of API manufacturing. 

This role integrates Analytical Sciences & Technology (AS&T) leadership with QC Quality Systems and Laboratory Systems ownership, providing a single point of accountability for analytical method lifecycle management, laboratory investigations, data integrity, and computerized laboratory systems. 

The incumbent ensures that analytical methods, laboratory processes, and core QC systems (e.g. LIMS/GLIMS, Empower, Lab X) are scientifically sound, compliant, effectively governed, and fit for routine operations, investigations, and regulatory submissions. Acting as both technical authority and QC systems owner, the role partners closely with Manufacturing, QA, Global Analytical functions, and Digital teams to deliver Right First Time (RFT) outcomes and operational excellence. 

Responsibilities

1. Analytical Sciences & Technology (AS&T) Leadership 

• Lead all Analytical Method Transfer Exercises (AMTE) for APIs transferring into, within, and out of the site. 
• Own the analytical method lifecycle, including development, validation, verification, compendial review impact assessments, and robustness improvements. 
• Ensure analytical approaches align with ICH guidance, PQS, and site SOPs. 
• Provide SME oversight for analytical troubleshooting, method failures, and complex laboratory investigations. 

2. QC Quality Systems & Laboratory Systems Ownership 

• Own and govern QC laboratory quality systems, including:  
• Deviations, investigations, and root cause analysis 
• CAPA definition and effectiveness 
• Data Integrity governance 
• SOP lifecycle management 
• Change management impacting analytical methods and laboratory systems 
•  Act as system owner / business process owner for core QC laboratory systems, including:  
• LIMS / GLIMS (sample management, result reporting, data integrity) 
• Empower Chromatography Data System (method control, data review, user access, audit trail oversight) 
• Ensure systems are:  
• Qualified and maintained in a validated state 
• Appropriately governed for user access, data integrity, and change control 
• Fit for business use and inspection ready 

3. Data Integrity & Compliance Governance 

• Establish and maintain strong Data Governance and Data Integrity controls across analytical and QC systems. 
• Ensure compliant use of LIMS/GLIMS, Empower, and associated analytical platforms in line with:  
• cGMP, ALCOA+ principles 
• PQS and site procedures 
• Regulatory expectations (e.g. FDA, EMA) 
• Serve as the QC Systems escalation point for audits and inspections involving laboratory systems, data integrity, and analytical practices. 

4. Investigation & Manufacturing Support 

• Provide expert analytical and systems input into:  
• Manufacturing deviations 
• Laboratory OOS/OOT events 
• System related data integrity issues 
• Customer complaints requiring analytical assessment 
• Ensure investigations are scientifically robust, risk based, and inspection defensible. 

5. Operational & Manufacturing Interface 

• Support routine API manufacturing by providing real-time analytical expertise to Value Stream Teams (VSTs). 
• Ensure analytical and system readiness for:  
• Cleaning validation 
• Stability programs 
• New product introductions 
• Partner with QA, Manufacturing, Validation, and Digital teams to align analytical execution, systems capability, and regulatory submissions. 

6. Project, Resource & Financial Management 

• Develop and manage integrated project plans covering:  
• Analytical method transfers 
• Validation programs 
• QC systems improvements and digital initiatives 
• Balance project and routine operational demand through capacity planning and prioritization. 
• Co-own QC laboratory operating budget and analytical systems capital planning (e.g. Empower upgrades, LIMS enhancements). 

7. Continuous Improvement & System Enablement 

• Drive Right First Time (RFT) behaviors across analytical execution and QC systems. 
• Lead continuous improvement initiatives leveraging:  
• Lean, Six Sigma 
• SPC and trending tools 
• System harmonization and standardization 
• Promote effective use of laboratory systems to improve efficiency, compliance, and data reliability. 

8. People Leadership & Capability Building 

• Lead, coach, and develop AS&T and QC Systems teams to build sustainable analytical and systems capability. 
• Fulfil First Line Leader (FLL) responsibilities, including:  
• Coaching and performance management 
• Visible GMP presence 
• Realtime issue escalation 
• Accountability for Data Integrity behaviors 
• Actively role model a strong quality, compliance, and ownership culture. 

Supervision

• The incumbent is responsible for 2-5 direct reports and 3-8 indirect reports.

Education

• Min. Bachelor or Master or Ph.D. Degree in Science (Chemistry preferred), Pharmaceutical Sciences or related Life Sciences.

Experiences

• Minimum 8 years of experience in pharmaceutical manufacturing or QC, AS&T, or R&D laboratory environments within regulated industries.
• Minimum 5 years in a leadership/supervisory position of professional staff previously or demonstrated capability to successfully lead large teams.
• Governance experience with LIMS/GLIMS, Empower, and analytical data systems.
• Experience in an API manufacturing plant is preferred.
• Extensive knowledge of GMP compliance requirements for Quality Control Laboratories is a must.
• Successful track record of continuous improvement, development and/or implementation of best practices in Quality Control Laboratories.

The candidate will be involved in IC product development and verification which could include one or more of the following areas:

• Analog circuit design from architecture to transistor level, post extraction verification and design modifications to meet requirements
• Digital logic design, verilog coding, logic synthesis, both RTL and gate level verification, formal verification and static timing analysis as well as place and routing.
• Full chip analog or digital mixed signal verification
• Layout high speed, high performance analog/mixed-signal custom integrated circuits
• Product validation including post silicon validation planning, execution, and post silicon issue debugging

Requirements

• Bachelor of Science degree in Electrical Engineering (or related field) +8 years of analog/mixed signal IC design, verification, layout and validation experience or
• Master of Science degree in Electrical Engineering (or related field) +6 years of analog/mixed signal IC design, verification, layout and validation experience or
• PhD in Electrical Engineering (or related field) +3 years of analog/mixed signal IC design, verification, layout and validation experience
• Proficiency in English

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

We are currently seeking a high calibre professional to join our team as a Manager, Actuarial Services (IFRS17).

This role support high-quality, timely IFRS 17 production and results analysis, working closely with Finance and other actuarial teams. This is a hands-on “doer” role with accountability for delivery and control. 

In this role you will:

• Produce IFRS 17 monthly and quarterly results, ensuring accuracy, completeness, and timely delivery
• Prepare clear explanations and analysis of movements and key drivers in IFRS 17 results for review with Finance and Corporate Actuarial
• Support analytical review activities, including reconciliations, variance analysis, and commentary for reporting packs
• Contribute to maintaining a strong reporting control environment, including evidence, documentation, and adherence to required controls
• Ensure IFRS 17 production activities comply with HSBC’s Risk Management Framework (RMF) and relevant SOX (Section 404) requirements
• Work with regional office stakeholders, external actuarial consultants, and internal/external auditors and regulators as needed, ensuring adherence to HSBC guidelines in the IFIM and statutory regulations
• Provide ad-hoc support to the Chief Actuary / Corporate Actuarial team on related corporate actuarial topics

To be successful you will need:

• Qualified Actuary from a recognised actuarial examination body
• Relevant actuarial experience, with solid exposure to IFRS 17 reporting/production
• Good understanding of reporting processes and the reporting control environment
• Experience in the Singapore regulatory regime is an advantage
• Strong communication and presentation skills, with the ability to explain results clearly to non-actuarial stakeholders

Opening up a world of opportunity
http://www.hsbc.com/careers

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by The Hongkong and Shanghai Banking Corporation Limited.

https://www.youtube.com/embed/NIa2CodFG6E?si=sFOWeYmq5fs3vE5i%22

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 )

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

We are seeking a Software Engineer to contribute to the design and development of AI-powered applications across the full stack. This role involves building responsive frontend user interfaces and supporting backend services, while integrating AI/ML capabilities into real-world systems. You will work closely with senior engineers and R&D teams to translate ideas into functional features, contributing to both prototyping and production development.

You will assist in developing UI components using modern frameworks such as React or Vue, and support backend development of APIs and services (REST/GraphQL) for data processing and application logic. The role includes working with AI/ML integrations such as LLM APIs, implementing data pipelines for ingestion and transformation, and ensuring system functionality, performance, and reliability. You will operate in an R&D environment, learning to balance rapid experimentation with good engineering practices.

Key Responsibilities

· Contribute to the development of full-stack applications, including frontend UI and backend services

· Build and maintain UI components using modern frameworks (e.g., React, Vue)

· Support development of backend APIs and services (REST/GraphQL)

· Integrate AI/ML capabilities (e.g., LLM APIs) into applications under guidance

· Assist in implementing data processing workflows and pipelines

· Participate in debugging, testing, and performance optimization of applications

· Collaborate with cross-functional teams to deliver user-facing features

· Contribute to prototyping and iterative development in an R&D environment

· Follow best practices in code quality, testing, and version control

· Learn and adopt modern tools, frameworks, and development practices

Qualifications

Must-Have Qualifications

· Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, with 2–5 years of experience in software development

· Working knowledge of frontend frameworks (React, Vue, or similar) and backend programming (Python, Node.js, Java, or equivalent)

· Basic understanding of API development and system design principles

· Familiarity with integrating external APIs (including AI/ML services is a plus)

· Exposure to cloud platforms (AWS) and development practices such as version control and testing

· Strong problem-solving skills and willingness to learn in an R&D environment

· Good communication skills and ability to work in a team

Strongly Preferred

· Exposure to AI/ML concepts or experience building simple AI-powered applications

· Experience with data processing, scripting, or working with structured/unstructured data

· Familiarity with modern UI/UX practices or building interactive applications

· Internship or project experience in full-stack or AI-related development

· Understanding of Agile/Scrum development processes

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

We are seeking an experienced Software Development Engineer to design and build end-to-end full-stack applications, encompassing intuitive frontend user interfaces and scalable backend services. This role involves developing responsive, user-friendly UI components using modern frameworks such as React or Vue, alongside building robust backend APIs and services (REST/GraphQL) to support application logic and data processing.

You will integrate AI/ML capabilities, including large language model (LLM) APIs and other inference services, into production-ready systems, while architecting efficient data pipelines for ingestion, transformation, and storage to enable AI-driven features. The role requires optimizing performance, scalability, and reliability across the full stack, and working closely with R&D, product, and design teams to translate concepts into functional, user-facing solutions. You will operate in a fast-paced R&D environment, rapidly prototyping and iterating while maintaining high engineering standards, and contributing to architectural decisions and team mentorship.

Key Responsibilities

· Design and develop end-to-end full-stack applications, including frontend interfaces and backend services

· Build responsive, high-performance UIs using modern frameworks (e.g., React, Vue)

· Develop and maintain scalable backend systems and APIs (REST/GraphQL)

· Integrate and operationalize AI/ML capabilities (e.g., LLM APIs, inference services) into production systems

· Architect and implement data pipelines for AI-driven applications

· Ensure performance, scalability, and reliability across frontend and backend systems

· Collaborate with cross-functional teams to deliver user-facing features

· Rapidly prototype and iterate on new ideas in an R&D environment

· Implement state management, caching, and asynchronous workflows for real-time interactions

· Design and manage cloud-based infrastructure (AWS)

· Apply best practices in code quality, testing, CI/CD, and system monitoring

· Monitor, debug, and optimize production systems (logging, observability, performance tuning)

· Ensure security and data privacy in system design

· Mentor junior engineers and contribute to technical leadership

Qualifications

Must-Have Qualifications

· Master’s degree in Computer Science, Software Engineering, or a related field, with 5+ years of experience in full-stack software development

· Strong frontend expertise (React, Vue, or similar) and solid backend development skills (Python, Node.js, Java, or equivalent)

· Proven experience designing and building scalable APIs and systems, with strong fundamentals in system architecture and software design

· Hands-on experience integrating AI/ML services (e.g., LLM or inference APIs) into production applications

· Experience with cloud platforms (AWS) and modern development practices (version control, testing, CI/CD)

· Demonstrated experience building scalable summarization/information extraction pipelines and production-grade anomaly detection or predictive models on numerical/time-series data

· Familiarity with Agile/Scrum methodologies and rigorous validation of ML/GenAI systems (evaluation metrics, bias/risk assessment)

· Strong problem-solving skills, ability to work independently, and effective cross-functional communication

· Fluency in English, including technical communication

Strongly Preferred

· Experience building AI-powered applications involving LLMs, generative AI, or real-time inference systems

· Familiarity with ML workflows, model evaluation, and performance optimization

· Experience developing data-rich, interactive UIs (dashboards, visualizations, graphics-heavy applications)

· Hands-on experience with cloud-native architectures and containerization (Docker, Kubernetes)

· Experience with asynchronous processing, streaming systems, or real-time data pipelines

· Background in R&D or fast-paced product environments with rapid prototyping cycles

· Exposure to MLOps practices, monitoring, and observability tools

· Experience mentoring engineers or contributing to technical leadership

· Experience with Model Context Protocol (MCP) for standardized, secure integration between LLM systems and external data sources, tools, or enterprise services.

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

We are seeking an Expert R&D Software Engineer to lead the design and development of advanced AI-powered applications, driving end-to-end architecture across frontend, backend, and AI/ML systems. This role requires deep technical expertise to define system architecture, guide implementation, and ensure scalability, reliability, and performance of complex, production-grade solutions.

You will lead the integration of AI/ML capabilities, including large language models (LLMs) and advanced inference systems, into enterprise applications, while architecting robust data pipelines for large-scale data processing and AI-driven features. In addition to hands-on development, you will play a key role in shaping technical direction, establishing best practices, and mentoring engineers, operating as a technical authority within a fast-paced R&D environment.

Key Responsibilities

· Lead architecture and design of end-to-end AI-powered full-stack systems, spanning frontend, backend, and data/ML layers

· Define and drive technical strategy for integrating AI/ML capabilities into scalable, production-grade applications

· Design complex, high-performance frontend systems and user experiences for AI-driven workflows

· Architect and oversee scalable backend services, APIs, and distributed systems

· Establish and optimize data pipelines for large-scale ingestion, processing, and AI model integration

· Ensure system-wide performance, scalability, reliability, and security across the full stack

· Provide technical leadership across teams, guiding design decisions, code quality, and engineering standards

· Mentor senior and junior engineers, fostering technical growth and best practices

· Collaborate with product, R&D, and leadership to translate business needs into technical solutions and roadmaps

· Drive rapid prototyping and experimentation while ensuring a path to production-quality systems

· Lead adoption of modern engineering practices (CI/CD, observability, MLOps, cloud-native architecture)

· Evaluate and introduce new technologies, frameworks, and AI approaches to advance product capabilities

Qualifications

Must-Have Qualifications

· Master’s or PhD in Computer Science, Software Engineering, or a related field, with 8–12+ years of experience in software engineering, including significant full-stack development

· Proven track record of architecting and delivering large-scale, production-grade systems with full-stack ownership

· Deep expertise in frontend (React, Vue, or similar) and backend technologies (Python, Node.js, Java, or equivalent)

· Strong experience integrating AI/ML systems (e.g., LLMs, inference services) into real-world applications at scale

· Demonstrated success building scalable data pipelines, including summarization/information extraction and anomaly detection or predictive models on structured/time-series data

· Strong knowledge of system design, distributed systems, and software architecture principles

· Experience with cloud platforms (AWS) and cloud-native architectures

· Strong leadership, mentorship, and cross-functional collaboration skills

· Experience working in R&D or highly ambiguous environments, with the ability to drive from concept to production

· Fluency in English, including technical communication

Strongly Preferred

· Experience leading technical architecture across multiple teams or large-scale systems

· Hands-on experience with generative AI, LLM orchestration, and agent-based systems

· Experience with advanced frontend architecture for complex, data-rich or AI-driven applications

· Expertise in containerization and orchestration (Docker, Kubernetes) and scalable distributed systems

· Experience with streaming systems, real-time data pipelines, and event-driven architecture

· Familiarity with MLOps practices, model monitoring, and evaluation frameworks

· Experience with Model Context Protocol (MCP) or similar frameworks for standardized AI system integration

· Track record of driving innovation, introducing new technologies, or influencing engineering strategy at an organizational level

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.

Work with business unit marketing and IC design teams to select the optimum package solution on cost, performance, manufacturability, and reliability for new advanced silicon node products (5nm, 3nm, 2nm and beyond)

• Work with IC design, system design, package SI/PI & thermal engineering teams to design custom packages

• Ensure designed packages meet CPI, SI/PI, and stringent thermal requirements (1000sW+) of advanced node cutting edge silicon products

• Research, develop, and productize new materials such as TIM, build-up-film, underfill etc. in support advanced node silicon (5nm & 3/2nm) POR definition

• Manage IC packaging activity from concept through development, qualification and high volume production

• Be a specialist and able to define assembly BOM, process, troubleshoot, support on packaging issues on new advanced technology

• Implement, fine-tune, and productize newly developed technologies into HVM

• Create package design documentation and assembly instructions

• Work close with QA and customers to resolve quality issues

• Interface with packaging assembly and substrate suppliers for new product bring-up, qualification and production ramp

• Interface with other operations functional groups such as product engineering, foundry, test, and QA

• Participate in package technology development and/or other business productivity projects which have broad team impact (e.g. assembly process enhancement, new TIM material development etc.)

• Interface with tier #1 external customers for custom ASIC programs or as needed for development support, quality and/or other issue resolution

• Support NPI bring-up, pkg qual, and sustain support in production + multi-source activities for capacity, cost, & manufacturing flexibility needs

Job Requirements

• Education: BS/MS/PHD in STEM/Material Science/Electrical/Mechanical Engineering

• Experience: BS +8 years of experience or MS +6 years of experience or PhD + 3 years of experience is required

• Deep understanding of signal integrity and power integrity concepts such as characteristic impedance, s-parameters (RL, IL, FEXT/NEXT etc.), power plane impedance profile requirements and optimization etc.

• Strong authority on Cadence APD for custom substrate design

• Hands-on expertise of advanced and new assembly processes for flipchip, MCM packages, and 2.5D for advanced node silicon products (5nm, 3/2nm and beyond)

• Good understanding of materials as related to Chip Packaging Interaction (CPI)

• Familiarity with wafer BEOL as related to CPI (top metal, AP, passivation, UBM, bumping etc.)

• Knowledge of advanced substrate manufacturing/process is a must (e.g. SAP/mSAP, PSPI w/ Cu RDL etc.)

• In depth knowledge of failure analysis techniques on advanced node silicon (5nm, 3/2nm etc.) products with ELK and MiM structures

• Conceptual knowledge of package cost structure

• Strong project management, communication and leadership skills

• Must have knowledge of GD&T and be able to read/comprehend mechanical drawings

• Good understanding of manufacturing and quality engineering fundamentals (DOE, process capability indices, etc.)

• Job requirements are broad; the candidate must be able to expand and grow in multiple disciplines (manufacturing/quality, materials, electrical, thermal, and mechanical)

• Track record of innovation and subject matter expertise through journal publications and/or patent awards is desired

• Familiarity with advanced technologies such as 2.5D, 3DIC, glass substrate etc.

Etiqa Insurance Singapore is looking for a dynamic individual to join our actuarial team. Do you have what it takes?

Are you:

• Passionate about working with people?
• A creative thinker with a positive attitude & outlook?
• A strong dynamic communicator able to collaborate effectively?
• Willing to learn, adapt & grow in a fast paced work environment?

WANT TO MAKE A DIFFERENCE?

This exciting proposition allows you to work with Etiqa, a leader in the insurance sector, optimizing your unique skill set, and getting onboard our journey towards “Making The World A Better Place”.

SCOPE OVERVIEW

• Assist in ORSA stress test and all capital related reporting requirement which involve asset template.
• Maintain and enhance asset capital projection models to ensure accuracy and efficiency of the asset projection models.
• Participate in capital-related projects such as investment initiatives, strategic asset allocations, and reinsurance initiatives.
• Work closely with group office, consultants, auditors, and regulators to ensure compliance with capital-related group guidelines and statutory regulations.
• Support any department initiatives as required.

REQUIREMENTS

• Preferably 4-6 years of actuarial experience, with asset valuation background will be an advantage.
• Proficiency in statistical and actuarial software (e.g., Excel and SQL).
• Prior Singapore RBC2 experience will be an advantage.

**We regret to inform that only shortlisted candidates will be contacted.