Production & Analysis : Perform tasks related to Retail Credit Risk RWA generation. Analyze RWA, conduct trend analysis, assess forecast-to-actual results variances, and provide insights to stakeholders and senior management.
Business Initiatives : Implement new business initiatives and model updates by collaborating with stakeholders and partnering with Technology.
Quantitative Impact Studies : Conduct quantitative impact studies (QIS) for regulatory agencies. Understand upcoming rules and regulations in the Retail domain and identify data gaps.
Data Quality Management : Partner with risk management, lines of business, and technology teams to identify and resolve data quality issues. Track and manage issues to resolution.
Solution Development: Develop solution using Python, SQL Queries, and other tools like Databricks, Alteryx, SharePoint, and Snowflake.
Required Qualification:
Bachelor’s degree in Economics, Finance, Quantitative Finance, or related fields. CFA charter holders or Math/Statistics/Computer Science graduates with finance industry experience are welcome.
Excellent interpersonal, oral, and written communication skills for effective collaboration.
Ability to multitask, prioritize, and make decisions. Organized, self-motivated, and a team player.
Strong analytical and problem-solving skills with a focus on controls. Superior attention to detail and process orientation.
Ability to utilize technology platforms like Databricks and scripting tools like Python to develop solutions for data transformation, in-depth data analytics, and process automation.