工作內容
1. 處理電話、文字客服、電子郵件等訊息回覆
2. 問題解決與客戶溝通
3. 解決客戶對於平台的問題,例如系統登錄問題
4. 熟悉公司產品,並向客戶有效介紹
5. 與各部門溝通與協調,收集客戶反饋,並向相關部門反饋和解決問題
6. 處理客戶後台設置與相關查詢
7. 維護內部檔案
8. 主管交辦事項
條件要求
1. 優先考慮經濟、金融、企業管理或其他相關專業文憑
2. 具金融行業1年(含)以上客服相關經驗者優先考慮
3. 具客服經驗,金融業尤佳
4. 熟悉運用操作Windows Office軟體
5. 具團隊合作精神、服務熱忱及良好的溝通協調能力
6. 良好的邏輯思維,能夠快速理解問題並做出回應
7. 操作熟悉Excel數據統計與函數應用者優先錄取
具備良好中英文溝通能力。
※不須輪班選擇班別固定班 ※
We are looking for experienced English-speaking Administrative Customer Service (Night Shift).
Responsibilities
1. Manage incoming customer calls, live chats, and emails in a responsive manner.
2. Professionally addressing clients’ inquiries and complaints.
3. Responsible for identifying and resolving clients' general platform issues, such as platform login problems.
4. Get familiar with company's products and introduce them to customers.
5. Develop a comprehensive understanding of the company's products and effectively introduce them to clients.
6. Communicate and coordinate issues with various departments, collect feedback, including escalating customer service issues that requires attention or resolution from other teams
7. Perform Introducing Broker (IB) setting related and enquiries.
8. Perform sales profile maintenance.
9. Tasks assigned by the supervisor.
Qualifications
1. At least Diploma in Economics, Finance, Business Administration, or any other related majors are preferred.
2. Min. 1 year of working experience in financial industry’s customer service is preferred
3. Experience in supporting clients enquiries and technical problem in the financial services, Forex and Futures industry is an added advantage.
4. Prominent level of ability in Microsoft office with strong numerate and analytical skills.
5. Excellent teamwork awareness, service awareness and normative awareness.
6. Good logical thinking, able to quickly understand the problems and respond to it.
7. Proficient in reading, writing, and speaking English and Mandarin
8. Willing to work flexibly and shift arrangement including weekends and holidays.
9. Preference will be given to candidates who are familiar with Excel and have experience in data analysis and function applications.