- Location: Changi / MBFC
- Salary up to $6500
Key Responsibilities:
- Act as both Business Analyst and Data Analyst for Corporate Credit Risk projects and provide Business As Usual (BAU) support for business and credit users as needed.
- Develop generic approval workflows to assess potential Watchlist cases triggered by Machine Learning and/or rule-based rule
- Understand end-to-end operations of internal credit systems and their integration with other systems and front-end workflows for wholesale banking and credit risk management.
- Gather and define business requirements, prepare functional specifications, write User Stories, and initiate User Requests on behalf of business and risk management units.
- Recommend solution designs, considering the pros and cons of available options.
- Plan and execute test scenarios, perform pre-UAT checks, and coordinate UAT with end-users.
- Conduct training on system processes and functionality for new and existing users.
- Perform additional project-specific tasks such as data analysis, user interviews/surveys, system configuration maintenance, report preparation, and live verification.
- Collaborate with Technology support and delivery teams to ensure successful delivery of user requirements.
- Utilize knowledge of various data analytics methods and Machine Learning.
Technical Requirements:
- Degree in Banking, Commerce, Information Systems, or a related field.
- Minimum of 7 years of experience as a Business Analyst and Data Analyst with end-to-end project delivery experience.
- Experience as a Product Owner or Scrum Master is preferred.
- Strong people management skills.
- Ability to understand and articulate business objectives, risks, and dependencies.
- Proficiency in defining and defending project scope.
- Experience in wholesale banking or credit risk projects.
- Knowledge of corporate credit products, credit risk, loans, trade, and treasury markets.
- Familiarity with credit products, risk monitoring/control processes, and banking credit processing systems.
- Experience with Data Analytics/Machine Learning projects or applications preferred.
- Experience with Agile methodology preferred.
- Proficiency in SQL and Excel; experience with JavaScript and Python is a plus but not required.
Avery Tay | EA Registration No: R23112677
