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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Accounting, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ22,000 - āļŋ25,000
- Managing company facilities and maintaining a safe environment.
- Assisting in handling office supplies and exploring new suppliers.
- Helping with organizing team activities and events.
- Report about all operations to CEO.
- Bachelor's degree in Accounting, Finance, or related field.
- 1-3 years of experience in accounting or finance.
- Strong knowledge of accounting principles and AP/AR processes.
- Proficiency in Excel and accounting software.
- Attention to detail and organizational skills.
- Strong communication skills, good command of English is preferred.
- Proactive problem-solver with analytical mindset.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Accounting, Financial Analysis, Finance, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Work together with other team members and engagement managers in performing due diligence for potential buy-side and sell-side M&A.
- Perform accounting and financial analysis which include company analysis, quality of earning, net operating assets, net debt and net working capital.
- Identify key risk issues to the M&A transaction and impact to pricing.
- Assist with researching various technical and industry specific issues.
- Perform market and industry analysis.
- Assist in due diligence report preparation.
- Assist engagement manager in key finding/reporting presentation to client.
- Participate in the development of proposal and client presentation.
- Your role as a leader.
- At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
- Understand how our daily work contributes to the priorities of the team and business.
- Understand the set expectations and demonstrate accountability in keeping personal performance on track.
- Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
- Demonstrate an appreciation for working with others.
- Understand what is fundamental to Deloitte s success as a business.
- Demonstrate integrity and an awareness of strengths, differences, and personal impact.
- Develop their understanding of Deloitte and offer a fresh perspective.
- RequirementsBachelor s or master s degree in accounting, Finance, and/or other related fields.
- Consultant - at least 2 years of working experience in auditing, M&A consulting, investment banking, financial analysis and/or other related fields.
- Good analytical skills and be able to work independently with the projects assigned.
- Good command in English, both speaking and writing skills.
- Professional credentials such as CPA, FRM is a plus.
- Due to volume of applications, we regret only shortlisted candidates will be notified. Candidates will only be contacted by authorized Deloitte Recruiters via firm s business contact number or business email address.Requisition ID: 107543In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.
āļāļąāļāļĐāļ°:
Procurement, Legal, Contracts
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Identify and evaluate new IT resource platforms (e.g., container orchestration, database, and API management solutions) that support cloud-native architecture and operational goals.
- Conduct market and trend analyses to assess emerging technologies and innovations that could benefit the organization s infrastructure.
- Partner with internal teams to understand business needs and technical requirements, ensuring platform selections are aligned with organizational objectives.
- Vendor Sourcing & RFP Management:Develop and manage Requests for Proposal (RFPs) for platform acquisitions, including defining requirements, evaluating vendor proposals, and managing the selection process.
- Coordinate with procurement and legal teams to structure contracts that ensure compliance and maximize value.
- Maintain and develop relationships with vendors to stay informed on platform updates, negotiate contracts, and manage service agreements.
- Implementation Planning & Coordination:Define and document implementation strategies, collaborating with operations and engineering teams to ensure smooth deployment of selected platforms.
- Oversee platform rollout phases, including testing, configuration, and integration with existing systems.
- Establish performance metrics and benchmarks, ensuring platforms meet operational standards and achieve target service levels.
- Standards Development & Continuous Improvement:Contribute to the development of best practices, standards, and guidelines for platform management within cloud-native environments.
- Continuously monitor platform performance and usage, making recommendations for improvements or optimizations as needed.
- Support training initiatives and provide guidance to teams on platform features and best practices..
- At least 4-6 years of IT infrastructure, cloud services, or platform engineer roles.
- Bachelor s degree in Computer Engineering, Information Technology, Computer Science or related fields. a master s degree is a plus.
- Demonstrated experience in vendor sourcing, RFP processes, and managing technical implementations.
- Experience in installation and operation IaaS service such as VMware Vsphere, esxi, HyperV e.g.
- Experience in installation or operation PaaS and container cluster service e.g. AKS, Kubernetes, Redhat openshift is a plus.
- Knowledge on network security and cloud technology.
- Knowledge of monitoring tools (Prometheus, Grafana, Zabbix, Nagios).
- Knowledge of container orchestration (e.g., Kubernetes, OpenShift), databases (e.g., PostgreSQL, MySQL), and API gateway technologies (e.g., Kong, Apigee). The certifications in specific area is a plus.
- Experienced in ITIL framework.
- Strong communication skills to coordinate across technical and business teams.
- Analytical and strategic mindset with the ability to solve complex problems and drive project success.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Krungthai bank is now growing together with Thai society by adapting itself to the change and competitive environment. The bank has transformed from being "The Convenience Bank", which is the present standard, to the concept of "Growing Together for Sustainability" bank. With that particular concept, we dedicate ourselves to enhance our human resources s qualifications and create value service which surely support the growth and stability of the customers, contribute to shape better society and satisfactory sustainable yields to our shareholders.
- āļŦāļāđāļ§āļĒāļāļēāļ āļāđāļēāļĒāļāļēāļĢāļāļąāļāļāļĩ āļāļēāļāļ āļēāļĐāļĩāļāļēāļāļĢ (Tax)
- āļāļģāđāļŦāļāđāļ VP (āļĢāļāļāļāļđāđāļāļģāļāļ§āļĒāļāļēāļĢāļāđāļēāļĒ)
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļ 6 āļāļĩāļāļķāđāļāđāļ.
- āļāļģāļŦāļāļāļāđāļĒāļāļēāļĒāđāļĨāļ°āļĢāļ°āđāļāļĩāļĒāļāļāļāļīāļāļąāļāļīāļāļēāļāļāđāļēāļāļ āļēāļĐāļĩāļāļēāļāļĢ āļāļēāļĢāļāļąāļāļāļģāļāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļāļēāļāļēāļĢ āļāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļĨāļļāđāļĄāļāļļāļĢāļāļīāļāļāļēāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļāļēāļāļēāļĢāđāļĨāļ°āļāļēāļĢāļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāļēāļāļāļēāļĢāđāļāļīāļāļāļēāļĄāļāđāļāļāļģāļŦāļāļāļāļāļ āļāļāļ. āļāļĨāļēāļāļŦāļĨāļąāļāļāļĢāļąāļāļĒāđāđāļŦāđāļāļāļĢāļ°āđāļāļĻāđāļāļĒ āļ.āļĨ.āļ., āļŠāļāļĢ. āđāļĨāļ°āļāļĢāļ°āļāļĢāļ§āļāļāļēāļĢāļāļĨāļąāļ.
- āļāļģāļāļąāļāļāļđāđāļĨāļāļēāļĢāļāļĢāļ§āļāļŠāļāļ āļāļēāļĢāļāļĢāļ°āļāļāļĒāļāļ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļĢāļēāļĒāļāļēāļĢāļāļēāļāļāļąāļāļāļĩ āđāļĨāļ°āļāļēāļĢāļāļ§āļāļāļļāļĄāļāļđāđāļĨāļĢāļ°āļāļāļāļēāļāļāđāļēāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļāļāđāļēāļāļāļąāļāļāļĩ āļāļĨāļāļāļāļāļāļģāļŦāļāļāļŦāļĨāļąāļāđāļāļāļāđāđāļĨāļ°āļ§āļīāļāļĩāļāļāļīāļāļąāļāļīāđāļāļāļēāļĢāļāļģāļāļ§āļāļ āļēāļĐāļĩ āđāļĨāļ°āļĒāļ·āđāļāđāļāļāļāļģāļĢāļ°āļ āļēāļĐāļĩāļāļļāļĢāļāļīāļāđāļāļāļēāļ° āļ āļēāļĐāļĩāļĄāļđāļĨāļāđāļēāđāļāļīāđāļĄāļāļāļāļŠāļģāļāļąāļāļāļēāļāđāļŦāļāđāđāļĨāļ°āļŠāļēāļāļēāļāļąāđāļ§āļāļĢāļ°āđāļāļĻ āđāļĨāļ°āļ āļēāļĐāļĩāđāļāļīāļāđāļāđāļāļīāļāļīāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļāļāļ·āļāļ āļēāļĐāļĩ āļāļēāļĢāļāļģāļāļ§āļāđāļĨāļ°āļĒāļ·āđāļāđāļāļāļāļģāļĢāļ°āđāļāļĩāđāļĒāļāļĢāļąāļāđāļāļīāļāđāļāļīāđāļĄ.
- āļāļģāļāļąāļāļāļđāđāļĨāļāļēāļĢāļāļąāļāļāļģāđāļĨāļ°āļāļēāļĢāļŠāļāļāļāļēāļāļ§āļīāļāļĩāļāļēāļĢāļāļąāļāļāļķāļāļāļąāļāļāļĩāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāļāļāļ / āļāļĢāļąāļāļāļĢāļļāļāļāļĨāļīāļāļ āļąāļāļāđāļŦāļĢāļ·āļāļāļļāļĢāļāļĢāļĢāļĄāđāļŦāļĄāđ āđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļĢāļēāļĒāļāļēāļāļāļēāļāļāļēāļĢāđāļāļīāļ āļāđāļāļāļģāļŦāļāļāļāļāļāļāļāļēāļāļēāļĢāđāļŦāđāļāļāļĢāļ°āđāļāļĻāđāļāļĒ āđāļĨāļ°āļŦāļĨāļąāļāđāļāļāļāđāļ āļēāļĐāļĩāļāļēāļāļĢ.
- āļāļģāļāļąāļāļāļđāđāļĨāļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļĢāļīāļĐāļąāļāđāļāļāļĨāļļāđāļĄāļāļļāļĢāļāļīāļāļāļēāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļāļēāļāļēāļĢ āđāļāļĩāđāļĒāļ§āļāļąāļāļāđāļāļĄāļđāļĨāļŠāļģāļŦāļĢāļąāļāļāļąāļāļāļģāļāļāļāļēāļĢāđāļāļīāļāđāļāļāļĢāļ§āļĄāļāļĨāļļāđāļĄ.
- āđāļŦāđāļāļģāļāļĢāļķāļāļĐāļēāļāđāļēāļāļāļēāļĢāļāļąāļāļāļĩāđāļĨāļ°āļ āļēāļĐāļĩ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāđāļāđāļŠāļīāļāļāļīāļāļĢāļ°āđāļĒāļāļāđāļāļēāļāļ āļēāļĐāļĩāđāļŦāđāļāļđāļāļāđāļāļāļ āļēāļĒāđāļāđāļāđāļāļāļģāļŦāļāļāļāļāļāļāļāļŦāļĄāļēāļĒ.
- āļāļ§āļāļāļļāļĄāđāļĨāļ°āļāļđāđāļĨāļāļēāļĢāļāļģāļāļ§āļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļĒāļ·āđāļāđāļāļāļāļģāļĢāļ°āļ āļēāļĐāļĩāļāļļāļĢāļāļīāļāđāļāļāļēāļ° āļ āļēāļĐāļĩāļĄāļđāļĨāļāđāļēāđāļāļīāđāļĄ āļāļāļāļŠāļģāļāļąāļāļāļēāļāđāļŦāļāđāđāļĨāļ°āļŠāļēāļāļēāļāļąāđāļ§āļāļĢāļ°āđāļāļĻ (āđāļĄāđāļĢāļ§āļĄāļāļķāļāļ āļēāļĐāļĩāļāļļāļĢāļāļīāļāđāļāļāļēāļ°āļāļēāļāļāļēāļĢāļāļēāļĒāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđ āđāļĨāļ°āļāļēāļĢāļĒāļ·āđāļāđāļāļāļāļģāļĢāļ°āļ āļēāļĐāļĩāļāđāļ§āļĒāđāļāļ āļ .āļ.36).
- āļāļ§āļāļāļļāļĄāđāļĨāļ°āļāļđāđāļĨāļāļēāļĢāļāļģāļāļ§āļ āļāļēāļĢāļĒāļ·āđāļāđāļāļāļāļģāļĢāļ°āļ āļēāļĐāļĩāđāļāļīāļāđāļāđāļāļīāļāļīāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢ āļāļēāļĢāļĒāļ·āđāļāđāļāļāļāļāļāļ·āļāļ āļēāļĐāļĩāļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļģāļāļ§āļāđāļĨāļ°āļĒāļ·āđāļāđāļāļāļāļģāļĢāļ°āđāļāļĩāđāļĒāļāļĢāļąāļāđāļāļīāļāđāļāļīāđāļĄ.
- āļāļ§āļāļāļļāļĄāđāļĨāļ°āļāļđāđāļĨāđāļĢāļ·āđāļāļāļ āļēāļĐāļĩāđāļāļīāļāđāļāđāļāļīāļāļīāļāļļāļāļāļĨāļāļĩāđāļāļāļēāļāļēāļĢāļāļđāļāļŦāļąāļ āļ āļāļĩāđāļāđāļēāļĒ āđāļĨāļ°āļāļģāđāļāđāļāđāđāļāļĢāļāļīāļāļ āļēāļĐāļĩ.
- āļāļ§āļāļāļļāļĄāđāļĨāļ°āļāļđāđāļĨāđāļĢāļ·āđāļāļāļāļąāļāļĢāļ āļēāļĐāļĩāļāļĩāđāļāļāļēāļāļēāļĢāļĢāļąāļāļāļ·āđāļāļāļēāļāļĨāļđāļāļāđāļē āđāļāļ·āđāļāļāļģāđāļāđāļāđāļāļģāļĢāļ°āļ āļēāļĐāļĩāļāļāļāļāļāļēāļāļēāļĢ.
- āļāļđāđāļĨāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļāļēāļĢāļāļĢāļ°āļāļāļĒāļāļāļāļąāļāļāļĩāļāļĩāđāđāļāļĩāđāļĒāļ§āļāļąāļāļ āļēāļĐāļĩāđāļāļīāļāđāļāđāļāļīāļāļīāļāļļāļāļāļĨ āļ āļēāļĐāļĩāļāļļāļĢāļāļīāļāđāļāļāļēāļ° āļ āļēāļĐāļĩāļĄāļđāļĨāļāđāļēāđāļāļīāđāļĄ āļāļāļāļĒāļāļāļāļāđāļŦāļĨāļ·āļāļāļēāļĄāļāļąāļāļāļĩ (GL) āļāļąāļāļĢāļēāļĒāļāļēāļāļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļĩāđāļāđāļēāđāļāļ·āđāļāļāļ·āļ āļāļĢāđāļāļĄāļāļąāđāļāļāļđāđāļĨāļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāļāļēāļĢāļāļīāļāļāļēāļĄāļŦāļēāļŠāļēāđāļŦāļāļļ āđāļĨāļ°/āļŦāļĢāļ·āļāļāļģāđāļāļīāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāļāļąāļāļāļĩ āđāļĄāļ·āđāļāđāļāļīāļāļāļ§āļēāļĄāđāļāļāļāđāļēāļāļāļĩāđāļĄāļĩāļŠāļēāļĢāļŠāļģāļāļąāļ.
- āļāļīāļāļāļēāļĄāļāđāļāļāļģāļŦāļāļāļāļāļāļāļāļŦāļĄāļēāļĒāļ āļēāļĐāļĩāļāļēāļāļĢāļāļĢāļ°āđāļ āļāļāđāļēāļ āđ.
- āđāļŦāđāļāļģāļāļĢāļķāļāļĐāļēāđāļĨāļ°āļāļđāđāļĨāļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāđāļēāļ āđ āđāļāļ·āđāļāđāļŦāđāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļĢāļāđāļēāļāļ āļēāļĐāļĩ āļĢāļ§āļĄāļāļąāđāļāļāļēāļĢāđāļāđāļŠāļīāļāļāļīāļāļĢāļ°āđāļĒāļāļāđāļāļēāļāļ āļēāļĐāļĩāđāļŦāđāļāļđāļāļāđāļāļāļ āļēāļĒāđāļāđāļāđāļāļāļģāļŦāļāļāļāļāļāļāļāļŦāļĄāļēāļĒ.
- āļāļģāļŦāļāļāļŦāļĨāļąāļāđāļāļāļāđāđāļĨāļ°āļ§āļīāļāļĩāļāļāļīāļāļąāļāļīāđāļĢāļ·āđāļāļāļ āļēāļĐāļĩāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļāļāđāļēāļāļāļēāļĢāļāļąāļāļāļĩ āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļāļēāļĢāđāļāļīāļ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļ§āļīāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļŦāļĢāļ·āļāđāļāđāļĢāļąāļāļāļĢāļ°āļāļēāļĻāļāļĩāļĒāļāļąāļāļĢ āļŦāļĢāļ·āļāļ§āļļāļāļīāļāļ·āđāļāđāļāļĩāļĒāļāđāļāđāļēāļāļĢāļīāļāļāļēāļāļĢāļĩāļŠāļēāļāļēāļ§āļīāļāļēāļāļēāļĢāļāļąāļāļāļĩāļāļĩāđāļŠāļ āļēāļ§āļīāļāļēāļāļĩāļāļāļąāļāļāļĩāļĢāļąāļāļĢāļāļ
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļąāļāļāļĩāļŦāļĢāļ·āļāļāļēāļĢāđāļāļīāļ 3 āļāļĩ āđāļ 5 āļāļĩ āļĨāđāļēāļŠāļļāļ
- āļāđāļēāļāļāļēāļĢāļāļķāđāļāļāļ°āđāļāļĩāļĒāļāđāļāđāļāļāļđāđāļāļģāļāļąāļāļāļĩāļāļēāļĄāļāļĢāļ°āļāļēāļĻāļāļĢāļĄāļāļąāļāļāļēāļāļļāļĢāļāļīāļāļāļēāļĢāļāđāļē
- āļāđāļēāļāļāļēāļĢāļāļāļĢāļĄāđāļāļ·āđāļāļāļąāļāļāļēāļāļ§āļēāļĄāļĢāļđāđāļāđāļāđāļāļ·āđāļāļāļāļēāļāļāđāļēāļāļāļąāļāļāļĩāļāļēāļĄāļŦāļĨāļąāļāđāļāļāļāđāļāļĩāđāļāļģāļŦāļāļāđāļāļāļĢāļ°āļāļēāļĻāļāļĢāļĄāļāļąāļāļāļēāļāļļāļĢāļāļīāļāļāļēāļĢāļāđāļē
- āļĄāļĩāļāļ§āļēāļĄāļĢāļāļāļĢāļđāđāđāļāļāļļāļĢāļāļīāļāļāļāļēāļāļēāļĢ āļāļĨāļīāļāļ āļąāļāļāđāđāļĨāļ°āļāļĢāļīāļāļēāļĢ āļĢāļ§āļĄāļāļķāļāļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļāļĨāļēāļ āđāļĨāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļĒāļđāđāđāļāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļ
- āļĄāļĩāļ§āļļāļāļīāļ āļēāļ§āļ° āļĄāļĩāļāļ§āļēāļĄāđāļāđāļāļāļđāđāļāļģ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļ§āļēāļāđāļāļāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢ āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āđāļāđāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļēāđāļāđāļāļĩ
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāđāļēāļāļāļąāļāļāļĩ āļāđāļēāļāļ āļēāļĐāļĩ āđāļĨāļ°āļāļāļŦāļĄāļēāļĒāļ āļēāļĐāļĩāļāļēāļāļĢāļāđāļēāļ āđ āļŦāļĢāļ·āļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļĄāđāļāđāļāļĒāļāļ§āđāļē 3 āļāļĩ
- āļĄāļĩāļāļ§āļēāļĄāļāļ·āđāļāļŠāļąāļāļĒāđ āļŠāļļāļāļĢāļīāļ āļĒāļļāļāļīāļāļĢāļĢāļĄ āđāļĨāļ°āđāļāļĢāđāļāđāļŠ āļĢāļ§āļĄāļāļķāļāļĄāļĩāļāļąāļĻāļāļāļāļīāļāļĩāđāļāļĩāļāđāļāļāļāļēāļāļēāļĢ
- āļĄāļĩāļĄāļāļļāļĐāļĒāđāļŠāļąāļĄāļāļąāļāļāđāļāļĩāđāļāļĩ āļĄāļĩāļāļąāļāļĐāļ° āđāļĨāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļāļĨ
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļāđāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāļāļĒāļđāđāđāļāļĢāļ°āļāļąāļāļāļĩ.
āļāļąāļāļĐāļ°:
Scrum, Problem Solving, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Partner with the business to gather requirements, assist in story writing, and manage/groom the backlog.
- Work with stakeholders to create and organize product backlogs.
- Work in an agile environment following Scrum or Kanban development processes.
- Responsible for gathering business requirements and translating to technical specifications.
- Participate in project planning, solution & architecture design, development and testing till the service/product go-live.
- Partner with external consulting company/vendor resources.
- Work with solution architects, designers and customers to define and refine the user journey and experience and create the technical solutions.
- Participates in troubleshooting for day-to-day issues and ongoing maintenance. Makes recommendations as needed to ensure reliability of the systems and finds the solutions to overcome the issues.
- Participates in testing and QA activities.
- Closely work with domain/solution architects to ensure the availability, reliability, and performance of API as well as the other non-functional requirements.
- Interact with bank business unit to collect various functional requirements.
- Ability to work with developers in explaining requirements and test solution before implementing in production.
- Understand and analyze the Consumer s requirement.
- Identify the need of the service and the readiness of required services.
- Expert with Banking Domain Knowledge.
- Very good Analytical and Problem Solving skills.
- Able to convert business problem into user stories, user journeys and technical solution.
- Communication - Expert in communicating with team members, clients and other vendors, so they exhibit excellent written and verbal communication skills.
- Proficient in API development.
- Able to capture requirement for API development and able to understand end to end picture.
- Able to create Swagger.
- Able to write test scenarios for acceptance criteria.
- Experience in leading the team is a plus.
- Job Qualification.
- Bachelor s degree/Master s degree in Finance, Administration, Computer Science or equivalent.
- 5+ years of working experience of solid, demonstrable experience in software development.
- 1-3 years of working experience of solid, demonstrable experience as Business Analyst or System Analyst in large-scale projects.
- 2+ year of working experience in banking, financial, or payment industry.
- Experience in Banking/ Financial Service projects.
- Experience in API ecosystem.
- Experience and Knowledge of agile and waterfall methodologies.
- Experience in working on requirements with business teams.
- Experience in performing root-cause analysis and preliminary problem diagnosis.
- Knowledge of BIAN and ISO20022..
- Please note that we will get in touch with shortlisted candidates only.
- FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
- LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
- LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN.
- (https://krungsri.com/bprivacynoticeen).
- The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
āļāļąāļāļĐāļ°:
Legal, Microsoft Office, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor s degree or higher in Law.
- Minimum of 5 years of experience in legal and contract advisory.
- Proficient in Microsoft Office applications.
- Strong communication skills with the ability to identify and mitigate contractual risks.
- Able to work effectively under pressure.
- Good command of English in listening, speaking, reading, and writing.
- English proficiency test scores will be considered an advantage (English interview required).
āļāļąāļāļĐāļ°:
Automation, Finance, Compliance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Operate and manage digital loan disbursement, repayment tracking, account maintenance, and settlement processes.
- Monitor loan transactions and exceptions, and conduct reconciliations to ensure financial accuracy.
- Support automation of lending operations, including rule setup, exception handling, and delinquency workflows.
- Collaborate with Credit Risk, Finance, and Tech teams to optimize loan servicing processes and improve customer experience.
- Ensure compliance with regulatory requirements, lending policies, and internal controls.
- Handle second-tier escalated cases within SLA timelines, including payment disputes, account issues, and delinquency inquiries.
- Assist in developing operational workflows and standard operating procedures (SOPs) for scalable lending operations.
- Provide insights and feedback to improve system performance and minimize operational risks.
- What we're looking for.
- Bachelor s degree in Finance, Banking, Business Administration, or a related field.
- 2-5 years of experience in loan operations, digital lending, or loan servicing within banking or fintech.
- Familiarity with digital credit products, loan structures, repayment schemes, and delinquency processes.
- Experience working with loan management systems (LMS), core banking platforms, or API-based loan orchestration systems.
- Strong attention to detail, process mindset, and ability to work in a fast-paced, agile environment.
- Knowledge of regulatory compliance related to consumer lending is a plus.
- What we offer.
- Competitive salary and performance-based bonuses.
- Comprehensive health and wellness benefits.
- Opportunities for professional development and career advancement.
- Access to company discounts and exclusive employee perks.
- If you're ready to embark on an exciting career in the dynamic world of Fintech, we encourage you to apply now!.
āļāļąāļāļĐāļ°:
Full Stack, Java, Scala
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Be hands on - its one of the job's fundamental task, and most of our development managers are writing and reviewing code, giving expert level coaching and guidance to their engineers.
- It's important to have a love of engineering and a passion for building things elegantly and at scale. Staying in touch with where the industry is going is crucial, and it's important to have strong opinions about how systems should be architected, engineered, and maintained.
- Do full stack engineering: you should have solid experience in all parts of the technology stack: infrastructure, client side, back end, performance, data, and others.
- Developing people - Despite our investment and belief in technology, people are still our greatest asset. The right candidate will have a keen interest in developing people: inspiring those around them so they can achieve their potential. Being able to bring A-players such as yourself from outside and integrating them into the business will also be important.
- Extremely proficient in at least 1 programming language (Java, Scala, C#).
- Strong experience in systems architecture - particularly in complex, scalable and fault tolerant distributed systems.
- Demonstrable experience as a system owner with operational responsibility.
- Proficient in lower level engineering (Garbage collection, context switching, threading).
- DevOps culture - Agility. Leanness. Automation. CI/CD.
- Good understanding of application security.
- Passionate about technology and the Internet.
- Must have worked in a successful agile development team.
- Must have run engineering teams before with 5+ direct reports.
- Able to operate with autonomously: making decisions, setting KPIs, with a strong sense of ownership.
- Practices data driven decision making.
- Proficiency in more than one programming language.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
āļāļąāļāļĐāļ°:
Negotiation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor degree or higher in Computer Science or related filed.
- There are 5-8 years, Experience in Network skills.
- Able to do network design, evaluation, POC, implementation.
- Self-Motivation and Hard Working.
- Able to work some time on night and weekend by job duties.
- Able to troubleshooting related to network problem & connecting equipment.
- Willing to self-study for network knowledge and learn new knowledge from team.
- Good communication,interpersonal, problem-solving, presentation, and negotiation skill.
āļāļąāļāļĐāļ°:
M&A, Project Management, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Deliver product competitiveness to contribute trade marketing excellence, ensure Knee Joint excellence between BU and RO; creating product competitiveness based on product know how & marketing knowledge; satisfy customers by providing attractive customer solutions; high customer orientation with go to market focus.
- Responsible for the development and implementation of product strategy in conjunction with the Business Unit.
- Define positioning of product line (specification and pricing) by distribution chann ...
- Qualifications Bachelor's degree in related field (Business, Marketing) and job experience (3-5 years) within marketing, if possible also in sales.
- Prior experience in automotive industry, prefer in product related.
- Good in project management and collaborative with cross functional dept.
- Strong English and local language skills including writing, speaking & reading.
- Skilled in competitor product analysis and consumer behaviour analysis.
- Additional Information
- Your future job offers you
- 5 Working days, Multinational working environment. Flexible working hour, Group insurance, Medical benefit, Provident fund and Annual leave.
- Make it happen
- Apply a job with us by clicking the I m interested button!.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and drive the organization's digital strategy, with a strong focus on leveraging AI technologies to enhance operational efficiency and unlock new business opportunities.
- Analyze overall business context and market trends to identify areas where AI or digital technologies can be effectively applied.
- Co-design and establish an AI Council to promote employee capability in AI and Data Literacy..
- Collaborate with cross-functional teams such as Sales, Marketing, IT, and HR to ensure the digital strategy aligns with organizational goals.
- Develop strategic plans and roadmaps to support the organization s transition toward a Data-Driven and AI-Driven model..
- Support the development of digital and AI-powered solutions to improve operational workflows.
- Bachelor's or Master s degree in Business Administration, Computer Science, Data Science, or a related field..
- Minimum of 7 years of experience in Digital Transformation, AI Strategy, or Innovation, preferably within large-scale organizations in the FMCG sector..
- Strong understanding of both technical aspects (AI, Data Integration, API, Dashboard Design) and business frameworks (OGSM, Customer Experience, Operational Excellence)..
- Proven experience working with AI or technical teams to develop various solutions/platforms..
- Excellent communication and presentation skills; able to work effectively with senior executives and cross-functional teams.
- Experience with tools such as Mobile Apps, DMS/SFA, or BI systems is a plus..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Creativity, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļķāļāļāļēāļ
- Laleda Tailor is seeking a creative and motivated Social Media Marketing Intern to join our team. This internship offers an exciting opportunity to gain hands-on experience in fashion branding, content creation, and social media marketing within a premium tailor-made clothing business.
- Create and schedule engaging content for Instagram, Facebook, and TikTok
- Support photo/video shoots including behind-the-scenes, styling, and product features
- Monitor social media performance and suggest optimizations
- Stay updated on trends in men s fashion and tailor-made clothing
- Coordinate with the marketing team to brainstorm new campaign ideas
- Ensure all content aligns with brand image and tone.
- University student or recent graduate in marketing, communications, fashion, or related fields
- Interest in fashion, styling, and social media
- Basic skills in Canva, CapCut, or Adobe Creative Suite
- Strong communication and organizational skills
- Able to work independently and collaborate in a small team.
- Why Join Us?.
- At Laleda Tailor, you ll gain practical experience in fashion marketing and content strategy. This is a great opportunity to build your portfolio, understand real-world brand communication, and receive mentorship in a growing business environment..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļēāļĢāđāļāđāļāļĄāđ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļĢāļ°āļŦāļ§āđāļēāļāļĨāļđāļāļāđāļēāđāļĨāļ°āļāļĩāļĄāļāļēāļāđāļĢāļ·āđāļāļāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāđāļēāļāđāļāļāļāļīāļāđāļĨāļ°āļāļēāļĢāļāļēāļĒāđāļāļ·āđāļāļāļāđāļ.
- āļāļąāļāļŦāļĄāļēāļĒāđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļĢāļāļĢāļ°āļāļļāļĄāļĢāļ°āļŦāļ§āđāļēāļāļĨāļđāļāļāđāļēāđāļĨāļ°āļāļĩāļĄāđāļāļāļāļīāļāļ āļēāļĒāđāļ.
- āđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāđāļāļāļāļīāļāļĢāļ°āļāļąāļāđāļĢāļāđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļ.
- āļŠāđāļāļāđāļāļāļąāļāļŦāļēāđāļāļāļāļīāļāļāļĩāđāļāļąāļāļāđāļāļāđāļŦāđāļāļĩāļĄāļ āļēāļĒāđāļ.
- āļāļīāļāļāļēāļĄāļāļēāļāļŠāļāļąāļāļŠāļāļļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāđāļāļĢāļāļāļēāļĢāļāļąāļāļĨāļđāļāļāđāļēāđāļĨāļ°āļāļĩāļĄāļ āļēāļĒāđāļ.
- āļāļąāļāļāļēāļĢāļāļąāļāļŦāļĄāļēāļĒāđāļāļŠāļāļēāļāļāļĩāđāđāļĨāļ°āļāļēāļĢāđāļĒāļ·āļāļāļāđāļēāļāđāļāļāļāļīāļ.
- āļĢāļąāļāļĐāļēāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāļāļĩāđāļŠāļĄāđāļģāđāļŠāļĄāļāļĢāļ°āļŦāļ§āđāļēāļāļĨāļđāļāļāđāļēāđāļāļŠāļāļēāļāļāļĩāđāđāļĨāļ°āļāļĩāļĄ.
- āļāļģāļāļ§āļĒāļāļ§āļēāļĄāļŠāļ°āļāļ§āļāļāļēāļĢāļāļĢāļ°āļāļļāļĄāļāļāļāđāļĨāļāđāđāļĨāļ°āļāļēāļĢāļŠāļāļāļāļēāļāļēāļāđāļāļāļāļīāļ.
- āļāļąāļāļāļēāļĢāđāļāļāļŠāļēāļĢāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļĨāļđāļāļāđāļē.
- āļāļāđāļŦāļĄāđāļŦāļĢāļ·āļāļāļāļāļēāļĢāļĻāļķāļāļĐāļēāđāļĄāļ·āđāļāđāļĢāđāļ§āđ āļāļĩāđ (āļāļĢāļīāļāļāļēāļāļĢāļĩāļāļļāļāļŠāļēāļāļē āđāļāļĒāđāļāļāļēāļ° IT, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļāļļāļĢāļāļīāļ).
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāļāļģāļāļēāļ 0-2 āļāļĩ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļķāļāļāļēāļāļāđāļēāļāļāļĢāļīāļāļēāļĢāļĨāļđāļāļāđāļēāļŦāļĢāļ·āļāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāđāļēāļāđāļāļāļāļīāļ āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐ: āļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāđāļāđ (āļāļđāļ āļāđāļēāļ āđāļāļĩāļĒāļ).
- āđāļāđāļāđāļāļāļēāļĢāđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļ AI āđāļāļ·āđāļāļāđāļ§āļĒāļāļēāļ (ChatGPT, Claude, DeepSeek, Gemini āđāļāđāļāļāđāļ).
- āļāļļāđāļāđāļāļĒāļāļąāļ Microsoft Office Suite āđāļĨāļ° Google Workspace.
- āļŠāļēāļĄāļēāļĢāļāđāļĢāļĩāļĒāļāļĢāļđāđāļāļāļāļāđāđāļ§āļĢāđāđāļĨāļ°āļĢāļ°āļāļāđāļāļāļāļīāļāđāļŦāļĄāđāđāļāđ.
- āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļąāļāļāļēāļĢāđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļĩāđāļāļĩ.
- āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļāļāļŠāļāļāļāļāļĒāđāļēāļāļŠāļĄāđāļģāđāļŠāļĄāļ.
- āļāļāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāļāļĒāđāļēāļāļāļĢāļāđāļāļāļĢāļāļĄāļē.
- āļĢāļąāļāļāļēāļĢāđāļĢāļĩāļĒāļāļĢāļđāđāļŠāļīāđāļāđāļŦāļĄāđāđ.
āļāļąāļāļĐāļ°:
Microsoft Office
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļēāļĢāļāļąāđāļāļāđāļēāđāļĨāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļĨāļāđāļāļĢāļāļāļēāļĢāļāļāļāļāļļāļ: āļāļģāđāļāļīāļāļāļēāļĢāđāļāļīāđāļĄāļŦāļĢāļ·āļāđāļāļĨāļĩāđāļĒāļāđāļāļĨāļāļāļēāļĄāđāļāļ·āđāļāļāđāļāđāļāļĢāļāļāļēāļĢāļāļāļāļāļļāļāļĢāļ§āļĄāļāļēāļĄ One Page āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āļāļēāļĻāđāļāđāđāļāđāļāļĢāļāļāļēāļĢāļāļāļāļāļĨจ. āđāļāļ·āđāļ Set up āđāļāļĢāļ°āļāļāļāļēāļĒāļāļ°āđāļāļĩāļĒāļāđāļŦāđāļāļđāļāļāđāļāļāļāļĢāļāļāđāļ§āļāđāļĨāļ°āļāļĢāļāđāļ§āļĨāļē.
- āļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļēāļĢāļāļąāļāļŠāļĢāļĢāļŦāļāđāļ§āļĒāļĨāļāļāļļāļ: āļāļĢāļ§āļāļŠāļāļāļāļĨāļāļēāļĢāļāļąāļāļŠāļĢāļĢāļŦāļāđāļ§āļĒāļĨāļāļāļļāļāđāļŦāđāļāļđāļāļāđāļāļāļāļēāļĄāđāļāļ·āđāļāļāđāļāđāļāļĢāļāļāļēāļĢāļāļāļāļāļļāļāļāļąāđāļāđāļāļāļĢāļēāļĒāļ§āļąāļāđāļĨāļ°āļĢāļēāļĒāļāļāļāļāļļāļ āļāļĢāđāļāļĄāļāļąāđāļāļāļģāđāļŠāļāļāđāļāļ§āļāļēāļāļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāđāļāļ·āđāļāļāļāđāļ.
- āļāļēāļĢāļāļąāļāļāļģāļāđāļāļĄāļđāļĨāļāļēāļĢāļĢāļąāļāļāļ·āđāļāļāļ·āļāđāļĨāļ°āļāļēāļĢāļāđāļēāļĒāđāļāļīāļ: āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāļāļēāļĢāļĢāļąāļāļāļ·āđāļāļāļ·āļāļāļąāļāđāļāļĄāļąāļāļī āļāļēāļĢāļāđāļēāļĒāđāļāļīāļāļāļąāļāļāļĨ āđāļĨāļ°āļāļēāļĢāļāđāļēāļĒāļāļ·āļ Set-aside āļāļāļāļāļāļāļāļļāļ āđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļāļģāļŦāļāļāļāļāļāđāļāļĢāļāļāļēāļĢ.
- āļāļēāļĢāļāļāļļāļĄāļąāļāļīāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļĢāļēāļĒāļāļēāļ: āļāļāļļāļĄāļąāļāļīāļĢāļēāļĒāļāļēāļĢāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļĢāļēāļĒāļāļēāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāļāđāļāļĄāļđāļĨāļāļđāđāļāļ·āļāļŦāļāđāļ§āļĒāļĨāļāļāļļāļ.
- āļāļēāļĢāļāļąāļāļāļģāļāđāļāļĄāļđāļĨāļāļēāļĢāļāļ·āđāļāļāļēāļĒāļŠāļąāļāđāļāļĨāļĩāđāļĒāļāļŦāļāđāļ§āļĒāļĨāļāļāļļāļ: āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāļāļēāļĢāļāļ·āđāļāļāļēāļĒāļŠāļąāļāđāļāļĨāļĩāđāļĒāļāļŦāļāđāļ§āļĒāļĨāļāļāļļāļāļāļąāļāļāļĩāđāļāļāđāļĄāđāđāļāļīāļāđāļāļĒāļĢāļēāļĒāļāļ·āđāļāđāļĨāļ°āļŠāđāļāđāļŦāđāļāļĢāļīāļĐāļąāļāļāļąāļāļāļēāļĢāļāļāļāļāļļāļāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ Text file āđāļāļ·āđāļāļāļģāļāđāļāļĄāļđāļĨāļāļēāļĢāđāļāļāđāļāļīāļāļāđāļēāļāļēāļĒāļŦāļāđāļ§āļĒāļĨāļāļāļļāļāđāļāđāļāļĢāļēāļĒāļ§āļąāļ.
- āļāļēāļĢāļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļŠāļģāļŦāļĢāļąāļāļāļāļāļāļļāļ IPO: āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļĢāļēāļĒāļāļ·āđāļāļāļđāđāļāļ·āļāļŦāļāđāļ§āļĒāļŠāļģāļŦāļĢāļąāļāļāļāļāļāļļāļ IPO āđāļĨāļ°āļāļģāļŠāđāļāđāļŦāđāļāļąāļāļŠāļģāļāļąāļāļāļēāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢ ก.ล.ต. āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļģāļŠāđāļāļŦāļāļąāļāļŠāļ·āļāđāļāđāļāđāļāđāđāļāđāļāļĢāļāļāļēāļĢāļāļāļāļāļļāļāđāļŦāđāļāļąāļāļāļđāđāļāļ·āļāļŦāļāđāļ§āļĒāļĨāļāļāļļāļāļĢāļēāļĒāļĒāđāļāļĒāļāļāļāļāļāļēāļāļēāļĢ.
- āļāļēāļĢāļāļđāđāļĨāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļāļēāļĢāļāļąāļāļŠāđāļāļĢāļēāļĒāļāļēāļ: āļāļđāđāļĨāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļāļ§āļēāļĄāļāļđāļāļāđāļāļāļāļāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļīāļĄāļāđāđāļĨāļ°āļāļąāļāļŠāđāļāļĢāļēāļĒāļāļēāļāļāļēāļāļāļāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļāļāļđāđāđāļŦāđāļāļĢāļīāļāļēāļĢāļ āļēāļĒāļāļāļāđāļŦāđāļāļģāđāļāļīāļāļāļēāļĢāđāļāđāļāļēāļĄ SLA āđāļĨāļ°āļāđāļāļāļģāļŦāļāļāđāļ§āļĨāļēāđāļāļāļēāļĢāļāļąāļāļŠāđāļāļĢāļēāļĒāļāļēāļ.
- Qualification āļāļĢāļīāļāļāļēāđāļ āļŦāļĢāļ·āļāļāļĢāļīāļāļāļēāļāļĢāļĩāļŠāļēāļāļēāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ / āļāļēāļĢāđāļāļīāļ / āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ / āļāļąāļāļāļĩ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļŦāļĨāļąāļāļāļĢāļąāļāļĒāđ / āļāđāļēāļāļāļąāļāļāļĩ / āļāļēāļĢāđāļāļīāļāļāļēāļĢāļāļāļēāļāļēāļĢ āđāļĨāļ°āđāļāļĢāđāļāļĢāļĄāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ Microsoft Office.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāļāļĩ āļŠāļēāļĄāļēāļĢāļ āļāđāļēāļ āļāļđāļ āđāļāļĩāļĒāļ āļŠāļ·āđāļāļŠāļēāļĢāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāđ āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
E-learning, Mandarin, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļēāļĢāđāļāđāļāļĄāđ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 - āļŋ30,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļŠāļāļāļ āļēāļĐāļēāļāļĩāļāđāļāļ·āđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āļāļąāđāļāđāļāđāļĢāļ°āļāļąāļāļāļ·āđāļāļāļēāļāļāļāļāļķāļāļĢāļ°āļāļąāļ A2.
- āļŠāļāļāļāļāļāđāļĨāļāđāđāļŦāđāļāļąāļāļāļđāđāđāļĢāļĩāļĒāļāļ§āļąāļĒāļāļģāļāļēāļ.
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļąāļāđāļāļ·āđāļāļŦāļēāļāļēāļĢāļŠāļāļāđāļŦāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāļāļđāđāđāļĢāļĩāļĒāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļŠāļāļāļ āļēāļĐāļēāļāļĩāļ (āđāļāđāļŦāļ§āļąāļ) āļĄāļēāļāđāļāļ
- āļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāđāļāđ 3 āļ āļēāļĐāļē āđāļāļĒ, āļāļąāļāļāļĪāļĐ āđāļĨāļ° āļāļĩāļ
- āđāļĄāđāļāļģāļāļąāļāļāļēāļĒāļļāđāļĨāļ°āđāļāļĻ
- āļĢāļąāļāļāļēāļĢāļŠāļāļ āđāļāđāļĒāđāļ āđāļŠāđāđāļāļāļąāļāļāļēāļāļđāđāđāļĢāļĩāļĒāļ..
- āļāđāļēāļāļāļāđāļāļ āļāļķāđāļāļāļąāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ (āļāļĢāļļāļāļēāļĢāļ°āļāļļāđāļāđāļāļŠāļĄāļąāļāļĢ)..
- āļŠāļāđāļāļŠāļĄāļąāļāļĢ
- āļŠāđāļāđāļĢāļāļđāđāļĄāđāļĄāļēāļāļĩāđ [email protected]
- āđāļāļĢ. 02-3544525 āļŦāļĢāļ·āļ 088-235-1419.
- āļĄāļēāļĢāđāļ§āļĄāđāļāđāļāļŠāđāļ§āļāļŦāļāļķāđāļāđāļāļāļēāļĢāļāļąāļāļāļēāļĻāļąāļāļĒāļ āļēāļāļāđāļēāļāļ āļēāļĐāļēāđāļŦāđāļāļąāļāļāļāđāļāļĒāļāļąāļāļāļ°āļāļ° .
- āļĢāļąāļāļŠāļĄāļąāļāļĢāļāļĢāļđāļ āļēāļĐāļēāļāļĩāļ #ChineseLecturer #ParttimeJob #āļāļēāļāļāļāļāđāļĨāļāđ #MedcoachRecruitment.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Software Testing, Automation, Git, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ25,000 - āļŋ35,000
- āļāļāļāđāļāļāđāļĨāļ°āļāļąāļāļāļē Test Plan, Test Case, āđāļĨāļ° Test Workflow āļāļĩāđāļāļĢāļāļāļāļĨāļļāļĄāļāļēāļĢāļāļģāļāļēāļāļāļāļāļĢāļ°āļāļ.
- āđāļāļĩāļĒāļāđāļĨāļ°āļĢāļąāļ Automated Test āđāļāļĒāđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļāđāļ Puppeteer, Selenium, Robot Framework.
- āļāļģ Load Test āđāļĨāļ° Performance Test āļāđāļ§āļĒ JMeter āļŦāļĢāļ·āļ k6.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļĢāļ°āđāļ āļāļāļāļāļāļēāļĢāļāļāļŠāļāļ āđāļāđāļ Unit Test, Function Test, Integration Test, Regression Test āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāđāļĨāļ·āļāļāđāļāđāđāļŦāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāđāļāđāļĨāļ°āļāļĢāļāļĩ.
- āļŠāļĢāđāļēāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļāļŠāļāļ (QA Workflow) āđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļ§āļāļāļĢāļāļēāļĢāļāļąāļāļāļē (SDLC).
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļĩāļĄ Dev, Product Owner āđāļĨāļ°āļāļĩāļĄāļāļ·āđāļāđ āđāļāļ·āđāļāļĢāļ°āļāļļ Scope āđāļĨāļ°āđāļāļ§āļāļēāļāļāļēāļĢāļāļāļŠāļāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļāļēāļĢāļāļāļŠāļāļāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ āļĢāļ§āļĄāļāļķāļāļāļīāļāļāļēāļĄāļāļēāļĢāđāļāđāđāļ Bug.
- Job Skills & Qualifications.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļŠāļēāļĒāļāļēāļ QA āļŦāļĢāļ·āļ Software Testing āļāļĒāđāļēāļāļāđāļāļĒ 1-3 āļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļ Automated Test āđāļāđāđāļāđ Puppeteer, Selenium, Robot Framework.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļģ Load/Performance Test āļāđāļ§āļĒ JMeter āļŦāļĢāļ·āļ k6.
- āđāļāđāļēāđāļāđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāđāļāļĩāļĒāļ Unit Test, Function Test āđāļāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļāļāđāļāļāđāļĨāļ°āļŠāļĢāđāļēāļ Test Workflow / QA Process āļāļĩāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļ āļĢāļāļāļāļāļ āđāļĨāļ°āļŠāļ·āđāļāļŠāļēāļĢāđāļāđāļāļąāļāđāļāļ.
- Preferred Qualifications.
- āļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļ CI/CD (āđāļāđāļ Jenkins, GitLab CI).
- āļāļēāļĢāļāļąāļāļāļēāļĢ Version Control āļāđāļ§āļĒ Git.
- āļāļ§āļēāļĄāđāļāđāļēāđāļāļāđāļēāļ Security Testing āļŦāļĢāļ·āļ Test Coverage Tools.
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāđāļ Agile/Scrum Team.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Software Development, SQL, Python, Windows API, English, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- Maintain overall system efficiency by conducting daily monitoring, verifying system integrity, reviewing application and system logs, and ensuring completion of scheduled processes such as data backups. Provide user support and ensure optimal performance of the Local Area Network (LAN), including internet access.
- Implement and monitor system and network security through intrusion detection, firewall and VPN maintenance, and regular assessments of critical servers (e.g., DHCP, DNS, application and web servers).
- Work with internal users, clients, and stakeholders to gather and analyze system requirements for new development or system enhancement initiatives.
- Design system architecture, develop flowcharts and data models to illustrate functional logic, integration points, and data exchange across components.
- Identify system-related risks and propose mitigation strategies to ensure seamless implementation and long-term stability.
- Environmental Observation Station Integration.
- Ensure seamless integration, functionality, and data transmission between field-based observation stations and RIMES s central data systems.
- Collaborate with hardware and field operation teams to troubleshoot equipment or communication issues affecting data collection and transmission.
- Perform regular system maintenance, including software updates, backups, and performance checks. Set up automated alerts to detect and report system anomalies or failures.
- Monitor and maintain inventory of servers, sensors, and associated equipment; provide recommendations for necessary replacements or upgrades.
- Technical Advice, Testing, Validation, and Support.
- Develop and execute test plans, including test scripts and scenarios, to validate system functions against business or user requirements.
- Provide technical advice related to hardware configuration, system enhancement, and software acquisition, along with database, server, user access, and security management support.
- Coordinate with software development teams to support system integration and provide feedback from operational and user perspectives.
- Develop and maintain technical documentation, user manuals, system configuration records, troubleshooting guides, and security protocols.
- User & Application Development Support.
- Manage user accounts, including new account creation, permission control, and password reset requests.
- Support User Acceptance Testing (UAT) processes and troubleshoot functional issues and system errors identified during development or rollout.
- Coordinate with developers, IT support staff, and end users to diagnose and resolve application issues.
- Train users on systems access, cybersecurity, software use, customization options, and basic IT literacy as required.
- Liaison and Documentation.
- Act as a liaison between technical staff and end-users, interpreting project requirements into actionable technical specifications and system functions.
- Ensure consistent and complete technical documentation, including system design documents, user requirements, testing reports, and operational manuals.
- Support capacity-building efforts by facilitating training workshops and developing instructional materials for both users and IT personnel.
- Education.
- Bachelor s degree in Computer Science, Information Technology, Computer Engineering, ICT, or related field.
- Proficiency in system analysis methodologies, software development life cycle (SDLC), and business process modeling.
- Working knowledge of programming and database technologies (e.g., Java, Python, C++, MySQL, PostgreSQL).
- Familiarity with web technologies, API integration, and system architecture design.
- Basic understanding of network administration and protocols (e.g., TCP/IP, DNS, VPN).
- Knowledge of cybersecurity principles and system performance optimization.
- Experience.
- Minimum 3 years of experience in system analysis, application development, or IT infrastructure support.
- Experience in system documentation, troubleshooting, and user support.
- Prior experience working in a multi-project environment or regional/international development context is an asset.
- Personal Attributes.
- Strong analytical and problem-solving capabilities.
- Excellent interpersonal and communication skills.
- High attention to detail, initiative, and a commitment to quality.
- Ability to work independently and collaboratively in a fast-paced setting.
- RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Research, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- A Master s degree in Climatology, Meteorology, Atmospheric Science, Environmental Science, or a related field with a minimum of five (5) years of relevant professional experience in climatology or related areas is required.
- A Ph.D. in a related field may be considered in lieu of some experience, provided the candidate demonstrates strong applied expertise relevant to the position.
- Strong understanding of climate variability and weather-related hazards, including extreme rainfall, droughts, heatwaves, tropical cyclones, and severe storms, particul ...
- Proficiency in climate modeling, data processing, and visualization using R, Python, MATLAB, GIS, or other relevant statistical and geospatial tools.
- Familiarity with global and regional forecasting systems and platforms (e.g., ECMWF, CFS, GFS, WRF, RegCM), and experience working with climate datasets such as ERA5, CMIP6, CHIRPS, and CRU.
- Advanced understanding of seasonal and sub-seasonal prediction systems and their application in risk-informed planning and decision-making.
- Knowledge of climate risk assessment, disaster risk reduction (DRR), early warning systems (EWS), and climate change adaptation (CCA) concepts and planning frameworks.
- Demonstrated ability to generate and translate climate information into impact-based forecasts and advisory products relevant to agriculture, water resources, health, and disaster risk management.
- Experience in statistical downscaling, bias correction, and real-time error correction methods, including application of machine learning techniques.
- Proficiency in geospatial analysis, remote sensing data applications, and integration of spatial datasets into climate assessments.
- Strong analytical, diagnostic, and systems-level problem-solving skills.
- Proven ability to interpret and communicate complex scientific findings to technical and non-technical audiences, including policy- and decision-makers.
- Excellent communication and technical writing skills, including the development of scientific reports, policy briefs, proposals, training materials, and donor reporting.
- Strong stakeholder engagement and representation skills, and demonstrated ability to work effectively in cross-disciplinary, multicultural, and multi-stakeholder environments.
- Capacity to manage multiple assignments under tight deadlines while maintaining attention to detail and quality.
- Experience.
- A minimum of five (5) years of professional experience in operational climate forecasting, climate modeling, and climate data analysis.
- Experience collaborating with national meteorological and hydrological services, regional climate centers, governmental agencies, and/or international organizations.
- Demonstrated experience in developing climate products and integrating climate information into early warning systems or decision-support tools for climate-sensitive sectors such as agriculture, water resources, health, and disaster preparedness.
- Experience working with climate systems and hazard contexts in Southeast Asia and/or South Asia.
- Personal Attributes.
- Strategic thinker with strong analytical and solution-oriented capabilities in applied climate science.
- Self-driven and capable of working independently while maintaining accountability and initiative.
- Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
- Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
- Professional, respectful, and proactive in both independent and team-based work settings.
- Major Duties and Responsibilities.
- Lead the development and delivery of climate-related products and services under the Decision Support System (DSS), including seasonal and sub-seasonal forecasts, bulletins, and outlooks.
- Design scalable climate analysis tools and frameworks for integration into RIMES DSS across countries and projects.
- Analyze historical and real-time climate data to identify trends, anomalies, thresholds, and risks.
- Manage and apply climate datasets, assimilation data, and remote sensing for climate analysis and risk assessment.
- Develop and implement bias correction and error adjustment methods, including statistical and machine learning techniques, to enhance forecast accuracy.
- Integrate climate information into sector-specific early warning systems and planning processes across agriculture, water, health, and disaster risk management.
- Provide technical support and capacity strengthening to national and regional partners on climate data analysis, modeling, and application.
- Design and conduct trainings, workshops, and technical mentoring; produce manuals, guidance notes, and documentation to ensure sustainability and knowledge transfer.
- Collaborate across RIMES thematic teams to develop integrated, impact-based climate advisories and contribute to cross-sectoral resilience programming.
- Represent RIMES in technical forums, support resource mobilization, and maintain active engagement with meteorological agencies, donors, and development partners.
- Contribute to the design, testing, and documentation of forecasting tools and services, as well as to the preparation of reports, proposals, and related documentation.
- Perform other duties as assigned to support RIMES climate-related programs and institutional objectives.
- Contract Duration.
- The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Git, Python, R, TensorFlow, GIS, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- A Bachelor s degree in Data Science, Computer Science, Geoinformatics, Statistics, Earth Sciences, or a related field, with a minimum of five (5) years of relevant professional experience in data science, preferably in geospatial or geophysical applications;.
- A Master s degree in related field with at least three (3) years of relevant experience.
- Strong proficiency in Python or R, with experience using data analytics libraries (e ...
- Solid understanding of machine learning concepts, time-series analysis, and statistical modeling.
- Familiarity with geospatial data formats (e.g., NetCDF, GRIB, GeoTIFF) and GIS tools is a plus.
- Familiarity with global and regional forecasting systems and platforms and experience working with climate datasets.
- Strong analytical, diagnostic, and systems-level problem-solving skills.
- Proven ability to interpret and communicate complex scientific findings to technical and non-technical audiences, including policy- and decision-makers.
- Ability to document technical work and communicate findings clearly with the project team.
- Capacity to manage multiple assignments under tight deadlines and work effectively in a cross-disciplinary, multicultural team environment.
- Minimum 3 years of experience in data science, preferably in geospatial or geophysical applications.
- Experience working with scientific computing and version control systems (e.g., Git).
- Personal Qualities.
- Conscientious and efficient in meeting commitments, observing deadlines, and achieving results.
- Self-driven and capable of working independently while maintaining accountability and initiative.
- Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
- Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
- Professional, respectful, and proactive in both independent and team-based work settings.
- Major Duties and Responsibilities.
- Collect, organize, and maintain large-scale structured and unstructured datasets from seismic, oceanographic, observational sources, and historical records.
- Contribute to the design and development of the tsunami scenario database, including data indexing, tagging, and retrieval functionality.
- Conduct exploratory data analysis (EDA) to identify trends, anomalies, and features relevant to support scenario-based modeling.
- Model Development.
- Collaborate with system architects and software developers to integrate data science models into the PRECISE platform.
- Develop probabilistic models to quantify uncertainty in tsunami impact forecasts, including scenario-based risk assessments and ensemble modeling techniques.
- Develop statistical and ML models to identify patterns, anomalies, and predictive signals for tsunami generation and propagation.
- Evaluate model performance and implement optimization strategies to improve prediction accuracy and computational efficiency.
- Document data sources, methodologies, models, and workflows to ensure reproducibility and transparency.
- Provide technical recommendations for future AI/ML tool integration based on findings and emerging trends.
- Other tasks.
- Support the development of visualization tools and dashboards for real-time data interpretation and communication with end users.
- Collaborate with cross-functional teams including researchers, domain experts, and developers to ensure effective system design and integration.
- Provide technical support and documentation, including system manuals, deployment instructions, and maintenance guidelines.
- Perform other duties as may be required by the Project Lead.
- Contract Duration.
- The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews..
- RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
AutoCAD
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ18,000 - āļŋ22,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āđāļāļĩāļĒāļāđāļāļāļāļēāļāļāđāļēāļāđāļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ
- āļāļđāđāļĨāļāļąāļāđāļāđāļāđāļāļāļāļĩāđāđāļāļĩāļĒāļ āđāļĨāļ°āđāļāđāļĢāļąāļāļāļēāļāļ āļēāļĒāļāļāļāļāļĒāđāļēāļāđāļāđāļāļĢāļ°āļāļ
- āļāļđāđāļĨāļāļ§āļāļāļļāļĄ āđāļĨāļ°āļāļĢāļ§āļāđāļāđāļāđāļĄāļĨāļāđāđāļĨāļ°āļāļīāđāļāļāļēāļāļāđāļāđāļāļāđāļŦāđāļāļĢāļāļāļēāļĄāļāļĩāđāļāļāļāđāļāļāđāļ§āđ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļē āļāļ§āļŠ. āļŦāļĢāļ·āļ āļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļēāđāļāļĩāļĒāļāđāļāļāđāļāļĢāļ·āđāļāļāļāļĨ, āđāļĒāļāļē āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļŠāļđāļ āļāļĢāļāļāđāļāđāļ§āļĨāļē āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļ āļēāļĒāđāļāđāđāļĢāļāļāļāļāļąāļāđāļāđ.
- āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļāđāđāļāļĢāđāļāļĢāļĄ SolidWorks āđāļĨāļ° AutoCAD āđāļāđāļāļĒāđāļēāļāļāļģāļāļēāļ.
- āļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļāļĩāļāļ§āļēāļĄāđāļāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļāđāļāļđāļāļāđāļāļ āđāļāđāļ āđāļāļāđāļāļĢāļāļŠāļĢāđāļēāļ, āđāļāļāļāļīāļāļāļąāđāļ, āđāļāļāļāļĢāļ°āļāļāļ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļāđāļāļĩāļĒāļāđāļāļāđāļāđāļĢāļāļāļēāļāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ āđāļāļĒāđāļāļāļēāļ°āļāļēāļāļāļąāļ āļŦāļĢāļ·āļ āļŠāļīāļāļāđāļēāđāļāđāļāļāļĢāđāļāļĨāļēāļŠāļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļāļĩāđāļĒāļ§āļāļąāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāđāļāļĩāļĒāļāđāļāļ.
- āļŦāļēāļāļŠāļēāļĄāļēāļĢāļāļāļāļāđāļāļāļ§āļąāļŠāļāļļ (BOQ) āđāļāđ āļāļ°āđāļāđāļāļāļĢāļ°āđāļĒāļāļāđāļāļĒāđāļēāļāļĒāļīāđāļ.
- āļāļąāļāļĐāļ°āđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļ§āļīāļĻāļ§āļāļĢāļŦāļĢāļ·āļāļāđāļēāļĒāļāļĨāļīāļāđāļāđāļāļĩ.
- āđāļāđāļĢāļđāđ āļāļāļāđāļĢāļĩāļĒāļāļĢāļđāđāđāļāļāđāļāđāļĨāļĒāļĩāļŦāļĢāļ·āļāđāļāļĢāđāļāļĢāļĄāđāļŦāļĄāđāđ.
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āļŦāļēāļāļēāļāļāđāļēāļ WorkVenture āđāļāđāļāļĒāđāļēāļāđāļĢ?
āđāļ§āđāļāđāļāļāđāđāļĢāļēāļĄāļĩāļāļģāđāļŦāļāđāļāļāļēāļāļĨāđāļēāļŠāļļāļāļāļēāļāļāļĢāļīāļĐāļąāļāļāļąāđāļāļāļģāļāļ§āđāļē 1,000 āļāļĢāļīāļĐāļąāļ āļāļĩāđāļāļļāļāļŠāļēāļĄāļēāļĢāļāđāļĨāļ·āļāļāļāļēāļāļāļĩāđāļāļļāļāļŠāļāđāļāđāļāđāļāļēāļ āļŠāļēāļĒāļāļēāļ āļāļĢāļ°āđāļ āļāļāļļāļĢāļāļīāļ āļŦāļĢāļ·āļāļāđāļēāļāļļāļāļĄāļĩāļāļĢāļīāļĐāļąāļāđāļāđāļāļāļĒāļđāđāđāļĨāđāļ§āļāđāļŠāļēāļĄāļēāļĢāļāļāđāļāļŦāļēāļāļēāļāļāļ·āđāļāļāļĢāļīāļĐāļąāļāđāļāđāđāļĨāļĒ āļāļāļāļāļēāļāļāļĩāđāļāļļāļāļĒāļąāļāļŠāļēāļĄāļēāļĢāļāļŦāļēāļāļēāļāđāļāđāļāļēāļāļāļĢāļ°āđāļ āļāļāļēāļ āļāļĩāđāļĄāļĩāļāļąāđāļ āļāļēāļāļāļĢāļ°āļāļģ āļāļēāļāļāļēāļĢāđāļāđāļāļĄāđ āļāļķāļāļāļēāļ āļŦāļĢāļ·āļāđāļĨāļ·āļāļāļāļēāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāļāļģāļāļēāļāļāđāđāļāđ
āļŦāļēāļāļēāļāđāļĨāļ°āļāļēāļāļāļĢāļ°āļ§āļąāļāļīāđāļ§āđāļāļąāļāđāļĢāļē
āļāđāļ§āļĒāđāļāļīāđāļĄāđāļāļāļēāļŠāđāļāđāļāļēāļāļāļēāļāļāļĢāļīāļĐāļąāļāđāļŦāļĨāđāļēāļāļąāđāļāđāļāļĩāļĒāļāđāļāđāļĨāļāļāļ°āđāļāļĩāļĒāļāđāļāļĒāļāļĢāļāļāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđ āļāđāļāļāļāļĨāļīāļāļŠāļĄāļąāļāļĢāļāļēāļ āđāļāļĒāđāļĢāļēāļĒāļąāļāļĄāļĩāļĢāļ°āļāļāđāļāđāļāđāļāļ·āļāļāļāļēāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāđāļēāļāļāļēāļāļāļĩāđāļĄāļĨ āļāļĩāđāļāļ°āļāļģāđāļŦāđāļāļļāļāđāļĄāđāļāļĨāļēāļāļāļēāļāđāļŦāļĄāđāđ āļāļĢāđāļāļĄāļāļąāđāļāļāļļāļāļĒāļąāļāļŠāļēāļĄāļēāļĢāļāļāļāđāļāđāļēāđāļāļŠāļĄāļąāļāļĢāđāļāđāđāļāļĒāļāļĢāļ āđāļĨāļ°āļāļķāļāđāļĄāđāļ§āđāļēāļāļļāļāļĒāļąāļāđāļĄāđāđāļāļāļāļēāļāļāļĩāđāđāļāđāđāļāļāļāļāļāļĩāđ āļāđāļāļĒāđāļēāļāļĨāļēāļāđāļāļāļēāļŠāļāđāļēāļāļāļēāļāļĩāļāļāļĩāđāļāļ°āļāļģāđāļŦāđāļāļļāļāđāļāđāļŦāļēāļāļēāļāđāļāļāļāļĢāļĩāđāļĄāļĩāļĒāļĄ āđāļāļĩāļĒāļāđāļāđāļāļĢāļāļāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđāđāļāđāļēāļāļąāđāļ
Company Page āļāļ·āļāļāļ°āđāļĢ
āđāļāļĩāļĒāļāđāļāđāļāļĨāļīāļāļāļĩāđāļāļ·āđāļāļāļĢāļīāļĐāļąāļāļĢāļ°āļŦāļ§āđāļēāļāļāļĩāđāļāļļāļāļāļģāļĨāļąāļāļāļđāļāļģāđāļŦāļāđāļāļāļĩāđāļĨāļāļāļĢāļ°āļāļēāļĻāļāļēāļāļāļĒāļđāđ āļāļļāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļ āļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāļāļĢāļīāļĐāļąāļāļāļĩāđāļāļļāļāļŠāļāđāļāđāļāļŦāļāđāļē Company Page āļāļĩāđāļĢāļ§āļĄāđāļāļēāļāđāļāļĄāļđāļĨāļāđāļēāļāđ āđāļāļĒāđāļāļāļēāļ°āļĢāļĩāļ§āļīāļ§āļāļēāļāļāļāļąāļāļāļēāļāļāļĢāļīāļāļāļĩāđāļāļģāļāļēāļāļāļĒāļđāđāļāļĩāđāļāļąāđāļ āļāļģāđāļŦāđāļāļļāļāđāļāđāļĢāļđāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāļāļāļāļāļĢāļīāļĐāļąāļāļāđāļāļāļāļāļŠāļĄāļąāļāļĢāļāļēāļ
WorkScore āļāļ·āļāļāļ°āđāļĢ
āļĢāļ°āļāļ WorkScore āļāđāļ§āļĒāđāļāļ°āļāļģāļāļģāđāļŦāļāđāļāļāļēāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ āļāļēāļĢāļĻāļķāļāļĐāļē āđāļĨāļ°āļāļąāļāļĐāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļāļāļāļļāļ āđāļāļĩāļĒāļāđāļāđāļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āļāļĢāļāļāđāļāļĢāđāļāļĨāđāļāļāļāļāļļāļāđāļŦāđāļāļĢāļ 80% āļāļķāđāļāđāļ āđāļāđāļēāļāļĩāđ āļāđāļāļāļŠāļĄāļąāļāļĢāļāļēāļāļāļļāļāļāđāļāļ°āļāļđāđāļāđāđāļĨāđāļ§āļ§āđāļēāļāļēāļāđāļāđāļĨāļ°āļāļģāđāļŦāļāđāļāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļāļāļāļļāļāļāļĩāđāđāļāļāļĢāđāđāļāđāļāļāđ
āļĄāļĩāļāļģāđāļāļ°āļāļģāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāļŦāļēāļāļēāļāļāļ·āđāļāđāļāļīāđāļĄāđāļāļīāļĄ?
āđāļāđāļāļāļ! āļāļāļāļāļēāļāļĢāļ°āļāļāļāļēāļĢāļŦāļēāļāļēāļāļāļĩāđāļāļąāļāļŠāļĄāļąāļĒ āđāļĢāļēāļĒāļąāļāļĄāļĩāļāļĨāđāļāļāđāļŦāđāļāļģāđāļāļ°āļāļģāļāđāļēāļāļāļēāļāļĩāļāļāļĩāđāļĢāļ§āļĄāđāļāļēāļāļģāđāļāļ°āļāļģāđāļāđāļāđ āļāļąāđāļ āļāļēāļĢāļŠāļąāļĄāļ āļēāļĐāļāđāļāļēāļ āđāļāļāļāļīāļāļāļēāļĢāļŦāļēāļāļēāļ āļāļēāļĢāļŦāļēāļāļāļāđāļāļāļāļąāđāļ āļāļēāļĢāļāđāļāļĢāļāļāđāļāļīāļāđāļāļ·āļāļ āļāļ°āļĢāļāļāļĒāļđāđāđāļāļĒāļāļģāđāļĄāļŦāļĨāđāļ°? 50 āļāļĢāļīāļĐāļąāļāļĒāļāļāļāļīāļĒāļĄāļāļĩāđāļāļąāļāļāļąāļāļāļąāļāđāļāļĒ WorkVenture āļāļģāļĨāļąāļāļĢāļāļāļļāļāļĄāļēāļŠāļĄāļąāļāļĢāļāļēāļāļāļĒāļđāđ