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Skills:

Good Communication Skills, Japanese, Korean

Job type:

Full-time

• 00 a.m.-19.00 p.m.
• 00 a.m.-22.00 p.m.
• Functional Skills & Experiences.
• Bachelor's degree in Liberal Arts, Humanities: Major in Chinese, Japanese, Korean / New Graduates are welcome.
• 0-2 years experience in customer service.
• Good communication skills in both English and 3rd Language. (Chinese, Japanese, Korean).
• Competence in Computer & Digital Literary.
• Familiar with application & program usage.
• Understanding of basic calculation i.e. % discount, on-top discount, % redemption.
• If have experience in Customer service, Retail Business, Hotel, Airline will be an advantage.
• Interested person may send your resume to [email protected]
• or contact to.

Skills:

Social media

Job type:

Full-time

• Customer Interaction - Respond to customer inquiries via email, phone, chat, or social media promptly and professionally.
• Order Management - Assist customers with placing orders, tracking shipments, and processing returns or exchanges.
• Issue Resolution - Address and resolve customer complaints or issues, such as defective products or delivery problems, ensuring a satisfactory outcome.
• Feedback Collection - Gather customer feedback to improve products, services, and the overall customer experience.
• Knowledge Sharing - Stay updated on product knowledge and policies to provide accurate information to customers.
• System Navigation - Utilize CRM software to document, track, and manage customer interactions and profiles.
• Collaboration - Work with other departments, like logistics or operations, to ensure customer needs are met.
• Sales Support - Advise customers on product choices, promotions, and features to support sales efforts.
• Follow-up - Conduct follow-up communications to ensure that customer issues have been resolved to their satisfaction.

Job type:

Full-time

• Represent a positive image of the organization and deliver exceptional service to customers
• Represent a good image of the shopping mall and company
• Providing excellence service to customer at the assigned service counter including
• Information Center
• Parking Validation
• Redemption (Promotion & Rewards)
• Membership Services
• Selling and Issuing Gift Cards, Coupons, or Vouchers
• Baby Stroller & Wheelchair Service
• Assist with Customer Issues
• Receive and Handle Customer Feedback
• Support Company Activities and Events
• Comply with Company Policy
• Hours of operation: 5 working days per week
• Functional Skills & Experiences
• 0-2 years experience in customer service
• Good command of spoken and written English
• Competence in Computer & Digital Literary
• Familiar with application & program usage
• Understanding of basic calculation i.e. % discount, on-top discount, % redemption.

Skills:

Microsoft Office, Excel

Job type:

Full-time

• ดูแลให้บริการลูกค้าในการตอบคำถาม ปัญหา ให้คำแนะนำเกี่ยวกับผลิตภัณฑ์ของบริษัททั้งในช่องทาง Online / Offline.
• ประสานงานกับทีม Care Advisor Coordinator ทราบถึงข้อมูลจากลูกค้า และช่วยให้การแก้ไขปัญหา.
• รวบรวมข้อมูลและบันทึกข้อมูลลงในระบบ.
• วิเคราะห์ข้อมูล และจัดทำรายงานเพื่อใช้เป็นข้อมูลในการพัฒนาคุณภาพผลิตภัณฑ์ พัฒนาผลิตภัณฑ์ให้ตรงตามความต้องการของลูกค้า และทำให้ Marketing เข้าใจ insight ของลูกค้าได้มากยิ่งขึ้น.
• สาขาที่เกี่ยวข้อง หากจบด้านสาธารณสุขจะพิจารณาเป็นพิเศษ.
• มีประสบการณ์การทำงานด้านลูกค้าสัมพันธ์ อย่างน้อย 2 ปี.
• สามารถใช้คอมพิวเตอร์ Microsoft Office: word / excel/ PowerPoint ได้ในระดับดี.
• สามารถสื่อสารภาษาอังกฤษได้.
• หากมีใบ certificate หลักสูตรการบริบาลผู้สูงอายุ หรือมีประสบการณ์ด้านการบริบาลผู้สูงอายุจะพิจารณาเป็นพิเศษ.

Experience:

1 year required

Skills:

Finance, Statistics, Python, English

Job type:

Full-time

• Manage/ Clean/ Prepare internal and external data (structured/ semi-structured/ unstructured data) for model development/ deployment/ monitoring, including the production of data quality and integrity report.
• Develop statistical/ expert/ hybrid models to be able to enhance the model when model deterioration is indicated using variety of data modeling techniques such as Logistic Regression/ Random Forest/ Gradient Boosting/ Non-Parametric Regression. Also, in case of using external consultants, be able to work closely with them across all m ...
• Generate prescriptive models to respond to interactive decision to optimize risks and rewards.
• Deploy credit risk models into Databricks platform, collection system and credit decision engine and maintain any model adjustment.
• Assist and work closely with related parties, e.g. business users, credit approval officers and relationship managers to ensure credit risk models are appropriate and efficient for business direction and support for new digital lending risk assessment and platform.
• Ensure all credit risk models are qualified to be used through model life cycle. Regularly perform model monitoring, model assessment and propose proactive action/ recommendation to improve the model.
• Assist and design for business opportunity to develop alternative credit score from partnership data.
• Collaborate with IT and data engineer to ensure data availability and quality from various sources (both on-premise/ cloud) to develop an efficient model.
• Qualifications Bachelor s or higher degree in Finance, Statistics, Mathematics, Economics, MIS, Engineer, Data scientist or any related fields.
• At least 1-2 year experiences credit risk analytics, credit risk modeling/ scoring in retail banking, consumer finance or any financial business.
• Strong knowledge and skill in machine learning, credit scoring, data analytics using R/ Python/ PySpark, MATLAB, SPSS, SAS, SQL or similar required.
• Analytical mindset with excellent critical thinking ability and data analytics skills.
• Excellent computer skills and programming tools.
• Good command in both written and spoken English.
• Good project management skills.
• Good team player with a positive attitude toward hard working and working under pressure.
• Experienced in credit risk modeling, model monitoring/ validation/ deployment/ maintenance preferred.
• Prior experience in Basel/ IFRS9, RAROC, Stress Test, Big Data, Data Mining, Digital leading, Fin-tech/ Start-up is a plus.
• 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.

Skills:

Compliance, Legal

Job type:

Full-time

• Ensure customer s orders are processed in a timely and accurately manner.
• Ensure reports are submitted on a timely to established customer s schedules.
• Investigate root-cause of operation incidents and service failures, make recommendation to the CS Assistant Managers / Management for improvements.
• Liaise and update customer closely to resolve customer orders or shipments related issues.
• Others.
• Inventory Management for Customer s WMS system.
• Ensure all billings are done timely & accurately with all necessary supporting documents.
• Adhere to relevant Standard Operating Procedures (SOP) and Work Instructions (WI).
• Maintain and ensure safe keeping and traceability of relevant customer s document / records.
• Capture and update on all KPI measurement, orders management, and orders turnaround time metrics etc.
• Collate and compute the monthly KPI report.
• Achieve & maintain consistent KPI, make suggestions to improve when necessary.
• Additional functions as mandated by Management.
• QHSE.
• Participate in the set-up and follow-up of internal standard procedures to enhance productivity and transparency.
• Maintain acceptable Health, Safety and Environmental risk levels in his/her area of responsibility.
• Ensure the compliance with applicable legal requirements.
• At CEVA we are committed to creating a safe and healthy work environment.
• A Competitive Compensation PackageComprehensive Health & Dental Benefits.
• Professional Development Opportunities.
• Continuing Education.
• CEVA is an equal opportunity employer who agrees not to discriminate against any employee or job applicant and is committed to a diverse and inclusive workforce. Accommodations are available upon request for candidates with disabilities taking part in all aspects of the selection process.
• We thank all candidates for applying, however, only successful candidates will be contacted for an interview.