Customer Analytics & Customer Relations Management Manager - Data Scientist Retail Banking & Wealth (职位编号:00009LEO)
汇丰银行(中国)有限公司
- 公司规模:5000-10000人
- 公司性质:外资(欧美)
- 公司行业:银行
职位信息
- 发布日期:2017-07-28
- 工作地点:上海
- 招聘人数:若干人
- 工作经验:3-4年经验
- 学历要求:本科
- 职位类别:高级客户经理/客户经理
职位描述
职位描述:
Retail Banking and Wealth Management (RBWM)
Retail Banking and Wealth Management leverages HSBC’s global retail banking expertise and wealth management capabilities to deliver a broad range of world-class retail banking solutions to millions of customers. Driving for growth in key markets around the world, the business comprises areas such as retail banking, wealth management, insurance and asset management, with a focus on customer-centric propositions and innovative and efficient distribution channels that will differentiate our customer experience and deliver market leading retail banking and wealth management solutions.
We are currently seeking an experienced professional to join our team.
In this role, you will:
1. Interface and co-work with regional and global business partners to identify business opportunities and challenges, and formulate and transform them into analytics projects.
2. 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
3. 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
4. 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.,.
5. Manage the timely delivery of output and effectively communicate with all stakeholders.
6. Deliver fair outcomes for our customers and ensure own conduct maintains the orderly and transparent operation of financial markets
Qualifications
To be successful in the role, you should meet the following requirements:
1. Hold a Bachelor above degree in Computer Science, Mathematics, Statistics, Engineering or relevant subject. (Master or PhD is preferred);
2. Excellent technical skills acquired through intensive use of data processing language, SAS\R\Python\SQL skills are mandatory.
3. Experience in AI or Machine Learning techniques such as Neural networks/Collaborative filtering/Random Forests/Gradient Boosting/Self organizing maps/NLP etc is mandatory.
4. Experience with Cloud Analytics eg AliCloud/TenCentt/AWS/Azure etc is highly desirable but not mandatory.
5. A highly numerate, analytical and logical individual who is independent, self-motivated and a team player; Detailed oriented, conscious of stringent quality control and able to work under pressure to meet tight deadlines;
6. Good communication skills in verbal and written English is a must;
7. Good business sense with minimum 5 year of experience in financial services institutions with knowledge in financial services products (e.g., credit card, loan, insurance, investment) and operation flows will be considered as an advantage.
8. Has the ability or has experience in leading/mentoring a team of analysts.
9. Be able to oversee and manage multiple projects assigned either personally or to a group.
10. Experience in payment products (credit cards/loans/e-wallet e.g. Alipay) is strongly preferred.
You’ll achieve more when you join HSBC.
www.hsbc.com.cn/careers
HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within and inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.HSBCHXI
Issued by HSBC Bank (China) Company Limited
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Retail Banking and Wealth Management (RBWM)
Retail Banking and Wealth Management leverages HSBC’s global retail banking expertise and wealth management capabilities to deliver a broad range of world-class retail banking solutions to millions of customers. Driving for growth in key markets around the world, the business comprises areas such as retail banking, wealth management, insurance and asset management, with a focus on customer-centric propositions and innovative and efficient distribution channels that will differentiate our customer experience and deliver market leading retail banking and wealth management solutions.
We are currently seeking an experienced professional to join our team.
In this role, you will:
1. Interface and co-work with regional and global business partners to identify business opportunities and challenges, and formulate and transform them into analytics projects.
2. 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
3. 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
4. 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.,.
5. Manage the timely delivery of output and effectively communicate with all stakeholders.
6. Deliver fair outcomes for our customers and ensure own conduct maintains the orderly and transparent operation of financial markets
Qualifications
To be successful in the role, you should meet the following requirements:
1. Hold a Bachelor above degree in Computer Science, Mathematics, Statistics, Engineering or relevant subject. (Master or PhD is preferred);
2. Excellent technical skills acquired through intensive use of data processing language, SAS\R\Python\SQL skills are mandatory.
3. Experience in AI or Machine Learning techniques such as Neural networks/Collaborative filtering/Random Forests/Gradient Boosting/Self organizing maps/NLP etc is mandatory.
4. Experience with Cloud Analytics eg AliCloud/TenCentt/AWS/Azure etc is highly desirable but not mandatory.
5. A highly numerate, analytical and logical individual who is independent, self-motivated and a team player; Detailed oriented, conscious of stringent quality control and able to work under pressure to meet tight deadlines;
6. Good communication skills in verbal and written English is a must;
7. Good business sense with minimum 5 year of experience in financial services institutions with knowledge in financial services products (e.g., credit card, loan, insurance, investment) and operation flows will be considered as an advantage.
8. Has the ability or has experience in leading/mentoring a team of analysts.
9. Be able to oversee and manage multiple projects assigned either personally or to a group.
10. Experience in payment products (credit cards/loans/e-wallet e.g. Alipay) is strongly preferred.
You’ll achieve more when you join HSBC.
www.hsbc.com.cn/careers
HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within and inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.HSBCHXI
Issued by HSBC Bank (China) Company Limited
职能类别: 高级客户经理/客户经理
公司介绍
汇丰是具有全球规模的金融服务机构。我们通过三大环球业务:财富管理及个人银行、工商金融、环球银行及资本市场,为超过4,000万名客户提供服务。我们的业务网络遍及欧洲、亚洲、中东及非洲、北美和拉美,覆盖全球64个国家和地区。
“开拓全球机遇”乃汇丰的使命,也是集团价值所在。我们发挥***的专业知识、能力、广阔视野及多元观点,致力为客户开拓崭新机遇。我们云集人才,集思广益,汇聚资本,促进业务发展及增长,为集团的客户、雇员、投资者、社区,以至整个世界缔造更美好的未来。
汇丰控股有限公司在伦敦、香港、纽约和百慕大证券交易所上市,股东约 194,000 名,遍布全球 130个国家和地区。
“开拓全球机遇”乃汇丰的使命,也是集团价值所在。我们发挥***的专业知识、能力、广阔视野及多元观点,致力为客户开拓崭新机遇。我们云集人才,集思广益,汇聚资本,促进业务发展及增长,为集团的客户、雇员、投资者、社区,以至整个世界缔造更美好的未来。
汇丰控股有限公司在伦敦、香港、纽约和百慕大证券交易所上市,股东约 194,000 名,遍布全球 130个国家和地区。
联系方式
- Email:hsbcrecruiting@mail.ajinga.com
- 公司地址:上海市浦东新区世纪大道8号上海国金中心汇丰银行大楼 (邮编:200003)
- 电话:18122358846