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Manager Business Analyst

6.00 to 12.00 Years   Chennai   14 Dec, 2019
Standard Chartered Bank Ltd
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryEducation / Training
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

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 Responsibilities3 major key responsibilities are (inclusive but not exhaustive):

  • Analysis and recommendation of data sources and standards for projects
  • Analysis and documentation of data requirements as per Business Requirements, including Data Profiling
  • Provision of data related advice and enforcement of data standards in projects
1) Project supportAll technology projects in the bank are ultimately about data. In addition to enterprise-wide projects that support customer-facing products or channels and internal requirements such as finance and risk, SCB has also implemented an Enterprise-wide data management (EDM) programme and more recently ASPIRE project using SAP FSDM.For all data projects, the Finance Technology data analysts will be expected to support individual projects by
  • Reviewing BRDs and distilling data requirements from the same
  • Mapping the data requirements to the bank s standard data model
  • Comparing data requirements with group data standards, and identifying potential sources of non-compliance
  • Recommending data sourcing approach (including golden sources where applicable)
  • Planning and coordinating profiling of data at source to ascertain data quality and consistency
  • Initiating (but not executing) data cleansing where necessary
  • Proposing data quality validation rules and data quality maintenance where appropriate
  • Planning and performing acceptance testing activities to ascertain standards and recommendations are being followed
2) Data Requirement DocumentationAs part of the BCBS (Basel Committee on Banking Supervision) 239 requirements, SCB and other banks are required to document data definitions, ownership, lineage, quality and controls for all data needed for risk and finance reporting. Similar regulatory initiatives to guarantee data integrity are coming into place in many of SCB s geographies.For these projects, the data analyst will perform As-Is analyses to study and document the current state of systems that are in scope of the projects.The documentation should include: Business Data Requirements, data definitions, mapping to source table and columns, business logic, linkages and controls. It should also include a mapping between data attributes in different existing systems that are in scope of the projects, and the bank s standard data model.The As-Is analysis is also expected to result in identification of instances where inappropriate or inconsistent data sources are being used, data quality is poor, and/ or controls to ensure data quality are missing or inadequate. Finally, the exercise should also result in recommendations on addressing these issues3) Project advice and enforcementAs the team executes on #1 and #2, it will build up collective knowledge and expertise on the bank s data, and he or she has a critical role in:
  • Assessing the impact of changes in upstream systems on downstream data consumers
  • Providing advice to anyone in the bank who needs to source a particular type of data for internal use or (particularly) external reporting
  • Enforcing the bank s data standards through collaboration with the various functional and technology teams supporting the bank s systems
Our Ideal CandidateQualifications
  • Degree in Accounting, Statistics, or Computer Science specializing in Information Management, or equivalent
Domain knowledge
  • Minimum 6 - 12 years of work experience in Banking domain involving one or more of the following: Core Banking, Trade & lending products, Treasury products (Foreign exchange, Money market, Bonds etc), Client on boarding or Due diligence, Regulatory or Internal reporting, sanctions/ anti-money-laundering, Risk Management (Market, Credit or Operational), Data Governance, OR
  • IT or data analysis/ profiling roles supporting the above areas
In addition, candidates from outside the banking domain will be considered if they have deep functional knowledge of finance and treasury function OR have been involved in data analysis and migration work in major data warehousing projectsTechnical skillsAll members of the team must be very proficient in MS Excel (critical to data analysis work). In addition, any combination of the following skills will also be an advantage (though not mandatory)
  • Prior experience of data analysis and profiling work
  • Intermediate to advanced knowledge and skills in SQL
  • Experience of working with data profiling
  • Knowledge of Logical data modelling concepts, and ideally some practical experience
  • Experience of working with any of the major transaction processing systems (e.g., eBBS, Hogan, RLS, CCMS, IMEX, OTP, Murex, ACBS, OPICS, etc) or data warehouses (Teradata, KEDW, CDW, IFRS9) used in SCB
Intrinsic traits
  • Attention to detail
  • Curiosity
  • High degree of responsibility
  • Self-motivated, requiring minimal supervision
  • Structure and discipline
  • Good written communication skills
  • Able to challenge/ question
Most roles will be individual contributors . Senior data analyst may be required to lead 2 - 3 direct reports (if required to).Apply now to join the Bank for those with big career ambitions.To view information on our benefits including our flexible working please visit our career pages .,

Keyskills :
data analysissales core bankingdata quality data modelingdue diligence data cleansingdata profiling

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