岗位职责:

疫情防控期间暂不安排应聘人员到公司参加现场面试，我司将统一安排线上测试和线上面试，届时将有HR与您联系，感谢您的理解！

This position requires great passion on data intelligence, a variety of advanced analytics skills and spirit of innovation. This is also a unique opportunity that leverages cutting-edge of machine learning and AI technologies to innovate data product design, drive new business model and create an impact on 40-million customers across HSBC networks from China.

1. The role is part of HSBC China Data & Analytics team and is responsible for the management of all customer information and provision of analytical and data science deliverables for customer and banking initiatives and to support all RBWM activities especially for growth of the Pearl River Delta growth for Cards Propositions, Acquisition, Marketing, Portfolio Management and Profitability. The individual is also expected to identify key trends that arise from the insights of customer data and work with other areas in RBWM to ensure they are taken account of;
2. The suitable candidate should be a self-driven person and a leader by nature in taking full ownership of the deliverables. One should be technically profound and fully loaded with business acumen and communication skills. One will work hands-on with the Enterprise Data Warehouse and Jupyter environment for data and modeling process, and are required to deliver the results in a logical and ethical way to the stakeholders;
3. Design, formulate, and implement relevant solutions for the identified analytics project and convert analytical findings/solutions that will lead to achieving business goals (revenue growth, anti-attrition, and increasing customer engagement, etc.). During the process, closely collaborate with relevant teams/parties to obtain the supports required for these tasks;
4. Use company provided software tools to extract, collect, manipulate (e.g. subset and merge) raw data to prepare for further analysis. Then apply the appropriate analytics frameworks, statistic procedures or machine learning algorithms to analyze the data in order to provide actionable analysis findings. Interpret and present quantitative information as well as the findings in proper context so as to help in the investigations and decision making of the business;
5. To design and develop robust, relevant data mining solutions – descriptive or predictive, the incumbent should flexibly and innovatively apply diverse modelling methods including (but not limited to): decision tree, clustering, logistic regression, gradient boosting, neural network, random forest, support vector machine etc.;
6. Manage the timely delivery of output and effectively communicate with all stakeholders.

针对汇丰零售银行的各种产品和核心业务，熟练运用商业分析，统计和数据分析的方法及工具，发掘数据商业价值，为业务团队赋能，打造良好客户体验的数据洞察和产品。从事的工作职责包括以下方面:

1. 熟悉并开发各种机器学习的算法，包括但不限于语义识别、知识图谱、搜索、推荐、知识库挖掘、计算机视觉、图算法等，应用于智能客服、财富、信用卡，保险、银行网络销售等场景;
2. 研究开发金融舆情方法，从互联网海量数据中发现有价值的信息。包括事件抽取、事件发现与追踪、情感分析、实体识别等应用于客户行为和体验的研究;
3. 领导开发人工智能产品，用AI为公司赋能。

1. Bachelor (minimum with 5+ year experience) or Master degree (with 3+ year experience) in relevant quantitative disciplines such as Statistics, Mathematics, Computer Science, Engineering, Operations Research, Physics or a related discipline with a focus on use of analytics and optimization to influence business decisions.
2. Hands-on knowledge in one of the following data analytics domains: machine learning, natural language processing/generation, computer vision, deep learning and advanced analytics, business analytics.
3. Strong retail banking products or wealth management business knowledge and knowledge of profitability model, e.g. card, loan, mortgage, insurance, etc.
4. Experienced in leveraging business analytics and machine learning algorithm to drive business growth, identify product proposition or enhance retail banking customer journey, etc.
5. Experience in working with large volume of data with database systems or cloud e.g. SQL, NoSQL, Hadoop/Spark, AWS etc. Scripting language capabilities in Python, R, SAS, Java or Scala
6. Less qualified candidate would be considered as Analyst.

1. 熟悉以下一个或多个领域：机器学习、深度学习、自然语言处理、对话机器人、计算机视觉、舆情分析等；
2. 熟悉一种或者多种银行金融产品，盈利和定价模型，熟悉零售银行业务；
3. 优秀的算法和编程能力, 熟悉主流数据分析和机器学习工具及语言；
4. 具有很好的表达能力，很好的抗压能力和团队合作能力；
5. 热衷于技术创新，善于突破现有框架做出改变，善于运用有限资源针解决具体问题。善于把大数据和人工智能技术结合及应用到实际业务场景，产生商业价值；
6. 计算机，数学，统计学或相关专业，硕士以上学历。能力稍逊者可被推荐为分析师。

We offer:
1. Competitive salary and an annual bonus;
2. Other benefits including 20 days paid annual leave, medical benefits;
3. Training courses in leadership and technical skills, English communication;
4. An international analytics career for colleagues who would like to work overseas;
5. A friendly working environment in a modern office in TaiKoo Hui Tianhe;
6. Work / life balance - team building activities.

福利待遇
- 具竞争力的薪酬：基本工资+绩效奖金+轮班补贴+早晚班交通津贴；
- 健全福利保障：五险一金+补充性商业医疗保险+免费年度体检；
- 畅享10+天假期：除享有国家法定节假日外，还拥有至少10天带薪年假、12天带薪病假、1天生日假、婚假、产检假、产假以及陪产假、哺乳假等，助您达到工作生活的平衡；
- 弹性福利制度：年假可买卖，商业医疗保险套餐可升级，您还可申请旅游补贴、个人进修补助、运动健身补贴等，满足个性化福利需求；
- 人性化工作环境：使用公司的员工餐厅、咖啡室、休息室、娱乐室等，进行劳逸结合；
- 多元化员工活动：运动会、团建、年会等精彩活动给您平台，任您施展才华。

培训与发展
- 广阔的职业发展平台：遍及全球的集团网络，提供扩展人脉及跨文化交流的机会，您还可申请不同国家及地区的长短期职位，不断挑战自我；
- 系统性人才培育及发展：配备职业导师，为您提供清晰的职业规划指导，充分挖掘横向及纵向的发展潜力；
- 完善的专业培训体系：入职即可享带薪培训，多元化的培训机会，还有资源及教育援助，帮您逐步实现职业目标。

汇丰环球客户服务（广东）有限公司秉承汇丰集团理念，始终将优质客户服务摆在公司发展的首位，依托先进的科技设施和雄厚的人力资源，实现服务的专业、规模和最佳化。持续多年的优质服务为汇丰环球在同行业赢得较高的声誉，随着汇丰环球规模化不断发展，汇丰环球中国营运中心现在有超过10,000名金融服务人员的专业团队，为汇丰集团世界各地的分支机构（如香港、英国、美国、加拿大、日本、中国、新加坡和澳门等）提供和分析数据、收款付款服务、客户中心等多项服务。同时荣获许多荣誉称号，其中包括广东最佳业务外包公司、广东省服务外包示范企业、中国服务外包十大在华跨国服务供应商、技术先进企业、商务部重点联系企业、A级纳税人称号，并且已连续五年获得香港呼叫中心协会年度大奖–离岸业务金奖, 广东省企业500强等。