Senior Data Analytic Manager Senior Data Analytic Manager …

Standard Chartered Bank
in Shanghai, Shanghai Shi, China
Permanent, Full time
Last application, 30 Aug 19
Standard Chartered Bank
in Shanghai, Shanghai Shi, China
Permanent, Full time
Last application, 30 Aug 19
Standard Chartered Bank
Senior Data Analytic Manager
About Standard Chartered
We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.

To us, good performance is about much more than turning a profit. It's about showing how you embody our valued behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good.

We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base.

The Role Responsibilities
  • Work with business stakeholders & domain business analysts to define analytics solution
    • Understand their strategies and needs, convert business requirements into analytical problems and implementable data analysis
    • Map user requirements to the technology solution and down to components
    • Challenge processes (where necessary) to reduce differences to standard operating model
  • Design, build, and implement technology analytics solutions appropriate to meet the operational and business/functional requirements defined, and at the same time enforce
    • Component Reusability
    • Architecture Simplicity
    • Process Performance
    • Service Maintainability
    • Solution Standardization
    • Development Traceability
    • Strong collaboration with business and other team members
  • Promote adoption and rollout of Agile and modern software engineering practices;
  • Collaborate with other operational, product, technology teams to get the best possible outcome for the bank

Our Ideal Candidate

Educational Level:
  • Master or Bachelor Degree in computer science, engineering, math, physics or related fields
  • Business English (fluent verbal and written)
  • Chinese (fluent verbal and written)
  • Proven statistical analysis ability in solving real-world cases
  • Proven hands-on experience in analysis of complex data problems
  • Proven ability to draw insight, influence others for a common goal in a large organization.
  • Proven ability to drive innovative business solutions
  • Experience in working with large volumes of data from multiple systems; understand data structure and draw insights. Digital project experience/exposure.
  • Good understanding of the Financial products in the retail & wealth management area, engineering (product set up), booking model and process, regulatory backgrounds, valuation. In-depth knowledge of structured or derivatives and securities instruments, the underlying cashflow, valuation, trading and settlement is a plus.
  • 10+ years of above experience (Senior Manager)
  • 6+ years of above experience (Manager)
Personal Attributes:
  • Critical thinking skills
  • Must have strong sense of ownership
  • Must be an effective communicator with business English literacy, interpersonal, problem solving and analytical skills, and excellent communication and presentation skills
  • High learning aptitude, able to learn new products and technology very quickly
  • A team player who enjoys working with people on all levels as well as being able to work independently and under pressure to meet tight deadlines
Computer Software/Languages/Other Requirements:
  • Quantitative and qualitative analysis skills, classifying, predicting, modeling, forecasting
  • Project experience using statistical analysis skills
  • Excellent coding skill with Database Query Language (SQL), Java/Python
  • Professional level of analytical skills with Microsoft Excel
  • Solid experience with BI tools such as SAS, Tableau, Microstrategy, Power BI etc.
  • Experience with Hadoop platform, familiar with HiveQL, Spark MLLib. MapReduce, HBase. Hive. Shell scripting.
  • Machine learning, deep learning, AI skills/exposure a plus
  • Familiar with machine learning classification, regression, clustering and filtering etc.
  • Familiar with statistical tests, distributions, maximum likelihood estimators, etc. solid statistics knowledge to understand when different techniques are (or aren't) a valid approach
  • Familiar with machine learning methods, i.e.k-nearest neighbors, random forests, ensemble methods, and more. Understand when it is appropriate to use different techniques

Apply now to join the Bank for those with big career ambitions.