零售銀行數(shù)據(jù)分析助理副總裁 (財(cái)富管理)
更新日期:2021-05-14- 工作經(jīng)驗(yàn):
- 無(wú)要求
- 最低學(xué)歷:
- 本科
- 招聘人數(shù):
- 若干
- 語(yǔ)言要求:
- 無(wú)
- 工作性質(zhì):
- 無(wú)
- 薪資范圍:
- 2.5-4.5萬(wàn)/月
- 職位類別:
- 工作地點(diǎn):
- 廣州市
崗位職責(zé):
疫情防控期間暫不安排應(yīng)聘人員到公司參加現(xiàn)場(chǎng)面試,我司將統(tǒng)一安排線上測(cè)試和線上面試,屆時(shí)將有HR與您聯(lián)系,感謝您的理解!
1. The role is part of HSBC Global 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 Asia growth for Wealth Management business. 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.
任職資格:
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. Experience with a Consulting organization and practices and Program/Project Management.
7. Client/Account Management experience and/or P&L Management Experience is a plus.
8. Knowledge of in any one or combination of advanced BI and Data tools e.g. QLIK, Tableau, SQL, Oracle etc.
9. Strong track record of managing and leading large teams.
10. Exceptionally strong organizational, problem-solving and communication skills.
11. Strong interpersonal skills and ability to build and maintain relationships.
12. Ability to think creatively to drive innovative solutions.
13. Ability to build connections and work collaboratively across boundaries.
14. Strong communication skills, in particular the ability to produce high quality reports which are articulate and effectively deliver the right message to the recipients.
福利待遇
- 具競(jìng)爭(zhēng)力的薪酬:基本工資+績(jī)效獎(jiǎng)金+輪班補(bǔ)貼+早晚班交通津貼;
- 健全福利保障:五險(xiǎn)一金+補(bǔ)充性商業(yè)醫(yī)療保險(xiǎn)+免費(fèi)年度體檢;
- 暢享10+天假期:除享有國(guó)家法定節(jié)假日外,還擁有至少10天帶薪年假、12天帶薪病假、1天生日假、婚假、產(chǎn)檢假、產(chǎn)假以及陪產(chǎn)假、哺乳假等,助您達(dá)到工作生活的平衡;
- 彈性福利制度:年假可買賣,商業(yè)醫(yī)療保險(xiǎn)套餐可升級(jí),您還可申請(qǐng)旅游補(bǔ)貼、個(gè)人進(jìn)修補(bǔ)助、運(yùn)動(dòng)健身補(bǔ)貼等,滿足個(gè)性化福利需求;
- 人性化工作環(huán)境:使用公司的員工餐廳、咖啡室、休息室、娛樂(lè)室等,進(jìn)行勞逸結(jié)合;
- 多元化員工活動(dòng):運(yùn)動(dòng)會(huì)、團(tuán)建、年會(huì)等精彩活動(dòng)給您平臺(tái),任您施展才華。
培訓(xùn)與發(fā)展
- 廣闊的職業(yè)發(fā)展平臺(tái):遍及全球的集團(tuán)網(wǎng)絡(luò),提供擴(kuò)展人脈及跨文化交流的機(jī)會(huì),您還可申請(qǐng)不同國(guó)家及地區(qū)的長(zhǎng)短期職位,不斷挑戰(zhàn)自我;
- 系統(tǒng)性人才培育及發(fā)展:配備職業(yè)導(dǎo)師,為您提供清晰的職業(yè)規(guī)劃指導(dǎo),充分挖掘橫向及縱向的發(fā)展?jié)摿Γ?BR>- 完善的專業(yè)培訓(xùn)體系:入職即可享帶薪培訓(xùn),多元化的培訓(xùn)機(jī)會(huì),還有資源及教育援助,幫您逐步實(shí)現(xiàn)職業(yè)目標(biāo)。
公司網(wǎng)址:http://www.hsbcglobalresourcing.com
公司地址:廣州市天河區(qū)天河路381號(hào)太古匯辦公樓2座第17層
聯(lián)系電話:0757-85830715
匯豐環(huán)球客戶服務(wù)(廣東)有限公司秉承匯豐集團(tuán)理念,始終將優(yōu)質(zhì)客戶服務(wù)擺在公司發(fā)展的首位,依托先進(jìn)的科技設(shè)施和雄厚的人力資源,實(shí)現(xiàn)服務(wù)的專業(yè)、規(guī)模和最佳化。持續(xù)多年的優(yōu)質(zhì)服務(wù)為匯豐環(huán)球在同行業(yè)贏得較高的聲譽(yù),隨著匯豐環(huán)球規(guī)模化不斷發(fā)展,匯豐環(huán)球中國(guó)營(yíng)運(yùn)中心現(xiàn)在有超過(guò)10,000名金融服務(wù)人員的專業(yè)團(tuán)隊(duì),為匯豐集團(tuán)世界各地的分支機(jī)構(gòu)(如香港、英國(guó)、美國(guó)、加拿大、日本、中國(guó)、新加坡和澳門等)提供和分析數(shù)據(jù)、收款付款服務(wù)、客戶中心等多項(xiàng)服務(wù)。同時(shí)榮獲許多榮譽(yù)稱號(hào),其中包括廣東最佳業(yè)務(wù)外包公司、廣東省服務(wù)外包示范企業(yè)、中國(guó)服務(wù)外包十大在華跨國(guó)服務(wù)供應(yīng)商、技術(shù)先進(jìn)企業(yè)、商務(wù)部重點(diǎn)聯(lián)系企業(yè)、A級(jí)納稅人稱號(hào),并且已連續(xù)五年獲得香港呼叫中心協(xié)會(huì)年度大獎(jiǎng)–離岸業(yè)務(wù)金獎(jiǎng), 廣東省企業(yè)500強(qiáng)等。
匯豐環(huán)球客戶服務(wù)(廣東)有限公司
- 企業(yè)性質(zhì): 三資企業(yè)
- 業(yè)務(wù)范圍: BPO
- 所屬行業(yè):外包服務(wù)
- 公司地址:廣州市天河區(qū)天河路381號(hào)太古匯辦公樓2座第17層
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