Business Analyst (Credit Risk) (JD#9380) - Part-Time

Job Summary

We are looking for an Business Data Analyst having experience in banking industry and specializing in Credit processes and credit original/ approval workflow systems.

Mandatory Skill-set

• Degree in Banking, Commerce, or Information Systems-related field;
• Has + years of experience as a business analyst and data analyst handling end-to-end delivery in banking, ideally in areas of Credit Processes;
• Domain knowledge on Banking Credit Processes and Customer Onboarding Workflow from Credit origination, approval, and activation to monitoring;
• Experience in project delivery or system implementation;
• Keen understanding of application solutions and system design;
• Proficient in SQL and be comfortable to work with systems and a large amount of data;
• Able to effectively communicate with user groups and the technical delivery team.

Desired Skill-set

• Programming proficiency such as Python or PySpark is a plus.

Responsibilities

• Understand how the Internal Credit systems work end to end, integrate/interact with other credit systems, product source systems and front-end workflow systems for wholesale banking relationship managers and credit risk managers;
• Define/ 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;
• Recommend solution design considering pros and cons of available options;
• Review business processes 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;
• Conduct training for new and existing system-related processes and functionality;
• Maintain business-related documentation for the credit systems including requirements, user guides, and Frequently Asked Questions, and ensure these are updated to the Intranet for ongoing access by credit and business users;
• Perform any other business-specific tasks in the project schedule including data analysis, user interviews/ surveys, maintaining system configuration, preparation of user reports, and Live Verification;
• Work closely with Technology support & delivery teams to ensure that user requirements are delivered successfully;
• Understand internal data and collect relevant external data;
• Identify required data for project and profile, analyze, clean up, and transform/ prepare it for processing;
• Obtain insights into the data and prepare clear visualization to present findings;
• Using data-driven insights, make recommendations to address potential business problems or innovate to stay ahead of industry trends;
• Understand the different types of data analytics and the use of Machine Learning.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

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