杭州招聘

岗位职责:

- Contribute to the establishment of consistent, best-in-class Analytics capability supporting the RBWM ASP region but also simultaneously joining up with the rest of the Group.
- Establish a Machine Learning Hub which will be composed of data scientists who are capable of development of sophisticated Machine Learning and Deep Learning Models as well as working towards converting them in to Analytical Products
- Enforce and monitor standards for the application of analytics across the businesses.
- Scope and define analytics need from stakeholders, deliver towards a data and analytics agenda on annual and ongoing basis and mobilize resources in the CoE to carry out such plans.
- Mature advanced analytics capabilities that further enable the personalisation and increased relevance of customer experiences, across all channel touch points.
- Establish and maintain a global best practice sharing environment for all aspects of new advanced analytics capabilities, new data sources as well as relevant fintech capabilities
- Identify key analytics competencies and skillsets within the team in order to scale new approaches more broadly across the RBWM Analytics teams
- Proactively promote and demonstrate the value of analytics via effective communication & tracking

任职资格:

- Master or PhD 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.
- Hands-on knowledge in one of the following data analytics domains: machine learning, natural language processing/generation, computer vision, deep learning and advanced analytics.
- At least three-year professional experience in Banking, Finance, Insurance, E-commerce, Retail, Telecom or Consulting industry, etc.
- Experience in working with large volume of data with database systems (e.g. SQL, NoSQL, Postgres, etc.)
? Experience in working with cloud-based data ecosystems (e.g. data lake, AWS, GCP, etc.). Scripting language capabilities in Python, R, SAS, Java or Scala
- Able to translate complex business problems into analytical requirements and propose actionable solutions based on internal and external best practice.
- Able to work with senior stakeholders and cross-functional teams in an Agile environment
- Leading and coaching skills to develop junior team members

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汇丰环球营运中心 - 中国

汇丰集团
汇丰控股有限公司是汇丰集团的母公司，总部设于伦敦。集团业务遍布欧洲、亚洲、北美洲和拉丁美洲，以及中东和北非65个国家及地区，为全球客户服务。于2019年6月30日，汇丰的资产达27,510亿美元，是全球规模***的银行和金融服务机构之一。
香港上海汇丰银行有限公司是汇丰集团的创始成员，透过旗下四大环球业务，包括零售银行及财富管理、工商金融、环球银行及资本市场，以及环球私人银行，为全球客户服务。

汇丰环球营运中心中国
汇丰环球营运中心中国成立于1996年，是汇丰集团在全球设立的***环球营运中心，总体规模名列汇丰21个环球营运中心的全球第二位。
汇丰环球营运中心中国在广州和佛山拥有三个环球营运中心，分别位于广州汇丰大厦、广州太古汇办公大楼以及位于广东省金融高新区的汇丰银行大厦，由汇丰环球客户服务(广东)有限公司统一管理，共同为汇丰集团世界各地的分支机构提供营运支援服务。
汇丰环球客户服务(广东)有限公司为汇丰集团在中国香港、英国、美国、加拿大、日本、中国大陆、新加坡和中国澳门的分支机构提供多种语言的优质服务，包括广东话、普通话、英语、日语、韩语和泰语。
我们非常重视日常工作的质量，例如为客户处理各种申请以及付款交易，这将为客户带来不一样的体验，并最终帮助业务增长。我们正在改革提供服务的方式，以反映客户期望的理财途径，即电子化程度更高、能即时实现以及移动设备优先。我们拥有一支年轻、多元化且充满抱负的员工队伍，因此我们努力提供良好的工作环境，务求让人人都产生归属感并能发挥自身潜力。
由于业务发展迅速，自22年前公司创立以来，员工人数也从最初60名员工的团队发展成今天超过11,000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提供如下服务：

1.数据分析
2.综合银行部
3.银行卡及无抵押贷款服务
4.催收
5.合规及合法服务
6.客户中心 –销售与服务
7.客户尽职调查
8.工商客户信用服务
9.信贷分析部
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11.印务及电子出版
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13.人力资源营运
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16.付款及汇丰财资网服
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18.零售信贷服务
19.担保和欺诈风险
20.供应服务
21.贸易及供应链服务
22.财富管理运营