Assistant Manager

Responsibilities

You will be primarily working to support the Credit Risk Analytics (CRA) team which functions to gather business requirements in partnership with Business Analysts and conducting User Acceptance Testing (UAT) of newly developed or enhanced applications. You would be required to partner with cross-functional business teams, data and technology teams and requires strong project management diligence. The job entails periodic production support for mission-critical risk systems generating RWAs, Loss forecasts and provisions for the bank. Your activities will include, but will not be limited to the following activities:

•       Review requirements from business users to ensure that testing plans cover business requirements

•       Coordinate and execute end-to-end testing efforts with internal and external interfaces, particularly in more complex end-to-end testing situations

•       Assist in coordinating the implementation of changes to improve performance and post implementation support

•       Prepare data for testing application functionalities in large, complex systems

•       Record and analyze results of testing sessions, prepare summary reports and status updates, present results to all involved parties

•       Perform regression testing

•       Liaise with application development and infrastructure teams targeting on-going development, production activity and release management.

Minimum Qualifications

·       Relevant Experience in BFS Risk analytics with experience in supporting risk management through effective business analytics and software testing

·       Minimum of a Master of Science in Statistics/Economics/Finance or bachelor’s in engineering, Computer Sciences, Information Management

·       Hands on experience in one or more industry leading data analytics and data visualization tools like SAS, Python, etc.

·       Good scripting and automation experience using SAS/SQL/Python/Excel VBA etc.

·       Familiar with Model Risk Governance and Management and the different phases of the life cycle of models

·       Knowledge of regulatory risk reporting processes like – CECL, IFRS 9, CCAR, Basel will be a plus

·       Good client management and communication/presentation skills – written & verbal

·       Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision.

Preferred Qualifications

·       Experience in Spotfire, SAS, Python, R, Excel-VBA

·       Familiarity with Agile Project Management, knowledge of JIRA and other workflow management tools, is a plus

·       Familiarity with econometric modeling, machine learning, statistical modeling, or application risk scoring a plus