產品營運及用戶策略（Product Operations & User Strategy）

Product Operations & User Strategy (Management Trainee)

The role involves establishing data-driven operational frameworks, optimizing user monetization through machine learning and CRM strategies, and conducting field research to understand local user psychology and preferences. This includes a 1–3 month on-site travel assignment in Africa.

About you

• Must hold a Hong Kong Permanent Identity Card or a valid HK work visa (e.g., IANG, TTPS, QMAS)

• Willingness to undertake a 1–3 month assignment in Africa

• Bachelor's degree or above from a top-tier university (QS Top 100 preferred) in Statistics, Computer Science, Data Science, Business Analytics, Psychology, or related disciplines

• Proficient in Python and SQL, Solid grasp of statistical methodologies, A/B testing, ROI attribution, and practical machine learning applications

• Strong business acumen, user empathy, and cross-cultural communication skills to collaborate with global teams across time zones

• Full professional proficiency in English and Mandarin (Cantonese is a plus)

Key responsibilities

• Establish core business KPI frameworks and utilize machine learning algorithms (e.g., XGBoost, LightGBM) to build user churn prediction models
• Partner with R&D and Big Data teams to supply data-driven insights and deploy automated retention interventions for local teams
• Spearhead CRM and VIP Loyalty programs, enabling personalized content and product recommendations
• Empower Country Managers with regional monetization insights to maximize user Lifetime Value (LTV) and deposit conversion rates
• Conduct 1–3 months of field research in Africa to gain deep insights into local user psychology, culture, and entertainment preferences
• Translate quantitative data and user insights into localized features and new gameplay concepts, driving them from design to execution

職位： 產品營運及用戶策略 (管培見習生)

工作地點： 香港（包含 1-3 個月非洲市場實地派駐）

要求：

1. 語言及簽證要求： 英語及普通話流利（可作全職工作語言，懂廣東話更佳）；須持有香港永久性居民身份或可在港合法工作的有效簽證（如 IANG、高才通 TTPS、優才 QMAS 等）；能接受 1-3 個月非洲海外派駐。
2. 學歷背景： 本科或以上學歷（全球 QS 前 100 或知名高校優先），統計學、數據科學、電腦科學、商業分析、心理學或相關學科。
3. 專業技能： 熟練掌握 Python 及 SQL，具備扎實統計學與演算法基礎，熟悉 A/B 測試、ROI 歸因及機器學習應用。
4. 商業洞察与溝通： 具備優秀的數據敏感度、跨文化溝通能力及項目推動力，能與全球團隊高效協作。

職責範疇：

1. 數據驅動營運與用戶留存 (Churn Management)

   • 建立核心商業數據指標體系，運用機器學習模型（如 XGBoost、LightGBM）預測用戶流失風險。
   • 聯同產研與大數據團隊，為在地團隊提供策略支援，自動觸發個性化留存干預方案。

2. 智能推薦與變現提升 (LTV & Monetization)

   • 主導 CRM 與 VIP 忠誠度項目，推動遊戲內商業化內容的「千人千面」智能分發。
   • 透過數據賦能國家經理（Country Manager）制定區域變現策略，提升用戶生命週期價值（LTV）及充值轉化率。

3. 用戶心理洞察與本土化創新 (User Psychology & Localization)

   • 配合 1-3 個月非洲實地考察，深度洞察細分市場的用戶心理與娛樂習慣。
   • 結合定量數據與定性洞察，輸出本土化新玩法/新功能需求，並推動項目落地營運。