Lead Assistant Manager
EXL
Date: 3 weeks ago
City: Remote, Remote
Contract type: Full time
Remote
Overview
The Credit Risk Reporting, Dashboarding, and Automation Specialist will be responsible for developing, maintaining, and enhancing credit risk reporting and dashboard solutions. This role will also focus on automating processes to improve efficiency and accuracy in credit risk management.
Responsibilities
The Credit Risk Reporting, Dashboarding, and Automation Specialist will be responsible for developing, maintaining, and enhancing credit risk reporting and dashboard solutions. This role will also focus on automating processes to improve efficiency and accuracy in credit risk management.
Responsibilities
- Develop and maintain credit risk reports and dashboards using tools such as Tableau, Power BI, or similar.
- Automate data extraction, transformation, and loading (ETL) processes to streamline reporting workflows.
- Collaborate with credit risk analysts and other stakeholders to understand reporting requirements and deliver actionable insights.
- Ensure data accuracy and integrity in all reports and dashboards.
- Monitor and analyze credit risk metrics and trends to support decision-making.
- Implement and maintain automation solutions to improve efficiency and reduce manual intervention.
- Provide training and support to team members on the use of reporting and automation tools.
- Stay up-to-date with industry best practices and emerging technologies in credit risk reporting and automation.
- Bachelor’s degree in Finance, Economics, Data Science, Computer Science, or a related field.
- Proven experience in credit risk reporting, dashboarding, and automation.
- Proficiency in data visualization tools such as Tableau, Power BI, or similar.
- Strong knowledge of SQL, SAS and experience with ETL processes.
- Familiarity with programming languages such as DAX, Python or R is a plus.
- Excellent analytical and problem-solving skills.
- Past experience in Snowflake and Sandbox environment
- Strong attention to detail and commitment to data accuracy.
- Ability to work collaboratively in a team environment.
- Strong communication and interpersonal skills.
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