• Senior Data Analytic Manager Jobs in China - 23295761

  • Standard Chartered Bank Ltd
  • China
  • Save Job
  • 10 - 13 Years
  • Posted : above 1 month

Job Description:

Senior Data Analytic Manager - ( 1900019051 )

Job Operations

Primary Location Greater China and North Asia-China-Shanghai

Schedule Full-time

Employee Status Permanent

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 Its 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

Were 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 arent) a valid approach
Familiar with machine learning methods, iek-nearest neighbors, random forests, ensemble methods, and more Understand when it is appropriate to use different techniques

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Banking
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 01st Feb 2020

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