An exciting opportunity for analytics professionals to work as Business Analyst cum Data Analyst in selected Corporate Credit Risk related projects in banking industry.
- Bachelor’s Degree in IT, Business, Accounting or Finance;
- Experience in wholesale banking / credit risk projects;
- Hands on work experience in data management and project implementation;
- Prior experience as business analyst and data analyst handling end to end delivery;
- Proficient in Excel, R and Python;
- Able to understand and articulate business objectives, risk and dependencies;
- Proven ability to interact with business teams and convey analytical results into simplified and actionable reports;
- Experience in data flows and analytics to support performance and risk calculations;
- Ability to manage and communicate with various stakeholders ,external vendors and IT efficiently;
- Ability to work independently, manage stress and multitask in a fast paced environment.
- 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 preferred.
- Act as a business analyst to understand the business users’ requirements and document it into functional and technical specifications;
- Analyse 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;
- Act as a data analyst to analyse data and provide business recommendations;
- Identify required data for project and analyse, clean-up and transform / prepare it for processing;
- Obtain insights into the data and prepare clear visualization to present findings;
- Work closely with Technology support and delivery teams to ensure the successful delivery of user requirements;
- Support project administration if necessary.