Total 19 sales manager job vacancies in Science / R&D / Research category in Indonesia

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.