• ED / SVP , Head of Customer Management & Analytics , Consumer Banking = Jobs in Singapore - 24238061

  • DBS Bank Ltd
  • Save Job
  • 15 - 18 Years
  • Posted : above 1 month

Job Description:

ED/SVP, Head of Customer Management & Analytics, Consumer Banking & Big Data Analytics Technology, Technology and Operations - ( 180004SE )

Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation In Group T&O, we manage the majority of the Banks operational processes and inspire to delight our business partners through our multiple banking delivery channels

The role is responsible for growing and leading the highly skilled multi-disciplined engineering and data science teams that deliver technology and analytics solution for the Consumer Banking business regionally You will be facing off to the Chief Marketing Officer and Chief Analytics Officer for Consumer Banking and be responsible for driving technology solutions that is used to guide DBSs consumer marketing, customer communications, and customer servicing agenda by leveraging big data and AI/machine learning This is a key technology role to drive the aggressive agenda to create an insights-driven servicing model, enabling DBS to provide superior client experience through 360 degree understanding of our customers using data and machine learning

The core practice is one of Agile, leveraging cloud native architecture pattern using Test Driven Development (TDD), continuous integration/continuous delivery, in an on-premise or public-cloud environment, where everything is automated The core design principle is one that promotes API-everything


Partner with the Chief Marketing Officer and Chief Analytics Officer for Consumer Banking to deliver the relevant technology solutions
Manage the technology teams ( 100 people based in Singapore and Hyderabad) responsible for developing and supporting inhouse or vendor solutions
Drive technical vision and vision, technology stack selection and R&D of emerging technologies as it relates to customer analytics
Strong technical competence to perform advanced analytics Coding skills (such as python,java,R), experience performing analysis with large datasets, analytics tools experience (SPSS, R, excel, SQL, HIVE, Hadoop), experience from 3rd party marketing tools (such as Google Analytics, IBM Unica, Adobe Analytics and Marketing Cloud)
Skilled at condensing analysis into actionable insights to inform business decisions within marketing, and influence / transform business performance; understand business models and high level strategy
Resource planning, recruitment and key talent development
Partner with relevant Big Data, AI/ML vendors to supplement the open-sourced based solution as relevant

Candidates are required to have

At least 15 years of relevant application development experience of mission critical systems from scratch, including experience in Consumer Analytics and Business Intelligence
Bachelors Degree in Computer Science or Electrical Engineering
Experience in leveraging continuous integration and robust build/test automation, with a preference for cross platform stacks and containerization (Git, Maven, Jenkins, Sonar, Docker, Cloud Foundry, etc)
Prior hands-on experience working with Big Data technologies like Spark (pyspark), Mahout, Pig, Hive, HBase, Sqoop, Zookeeper, HDFS, etc
Create mission critical applications from scratch and building up new development team for a brand-new mission
Driven major changes in technology architecture and technology team culture

Candidates should also possess the following preferred skills

Experience working with any of the commercial distributions of Hadoop (Hortonworks, Cloudera, MapR, etc)
Experience with Adobe Analytics or IBM Unica
Experience with hands-on statistical modeling (such as regression modeling, a/b testing, significance testing etc), knowledge about machine learning (such as predictive modeling, decision trees, classification models, clustering techniques), knowledge about statistical research methods (such as conjoint survey models, segmentation survey methods, etc)
Experience with Data Integration on traditional and Hadoop environments
Ability to multi-task and prioritize effectively in a fast paced environment
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
A technologists technologist - able to lead high performance technology teams by example

Primary Location Singapore

Job OnePlus

Organization SGDBSSGDBS - Singapore


Job Type Full-time

Job Posting Nov 9, 2018, 61059 AM

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Financial Services/Stockbroking
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 23rd Apr 2020

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