6 April 2020

Our client is looking for a meticulous individual to translate business requirements into deliverables and support in collecting, cleansing, interpreting, analyzing data to identify trends and patterns for problem solving.

Mandatory Skill(s)

  • Degree in Banking, Commerce or Information Systems-related field ;
  • 2+ years of hands on experience as Business Analyst or Data Analyst;
  • Able to understand and articulate business objectives, risk and dependencies;
  • Good at defining and defending scope;
  • Prior experience with MS Access, Excel, Java Scripts, R and Phyton.

Desirable Skill(s)

  • Experience in wholesale banking / Credit risk projects;
  • Product knowledge and prior experience on Wholesale / Corporate Banking, Loans, Trade and Treasury and Markets;
  • Knowledge of credit products, risk monitoring / control processes and credit processing systems of banks;
  • Prior experience with Data Analytics/ Machine Learning project/ application;
  • Prior experience working in AGILE methodology.


  • To undertake Business Analyst and Data Analyst role;
  • Work with Data Scientists to enhance and support existing application using Data Analytics/ Machine Learning;
  • Recommend digital solutions to Business and Product Owners to address potential business problems or innovate to stay ahead of industry trends;
  • Understand how the Credit systems work end to end;
  • Understand how the internal Credit systems integrate with other credit systems, product source systems and front-end workflow systems for wholesale banking relationship managers and credit risk managers;
  • Collate business requirements, prepare functional requirements, write User Stories and initiate User Requests (Request for Service) on behalf of the business and risk management / credit units;
  • Review business process supported by the credit systems to optimize efficiency;
  • Plan for test scenarios, perform pre-UAT sanity checks and co-ordinate with end-users to perform UAT;
  • Maintain business related documentation for the credit systems;
  • Identify required data for project and analyze, clean-up and transform/ prepare it for processing.
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