Job Overview
Role: Apprentice (GMNS Risk Reporting & Analytics) Location: Gurugram Experience: Freshers (2024/2025/2026 Batch) Qualification: B.E / B.Tech / BCA / B.Sc (CS or IT) Key Skills: Risk management, data automation, financial compliance, MIS reporting, data analysis, Excel, PowerPoint, SQL, Python, Power BI, AI tools
Job Description
As an Apprentice within the GMNS team, you will dive deep into Risk Reporting and Analytics. You will assist in building Management Information System (MIS) solutions that track key risk and compliance metrics across global merchant networks. Your role involves working with both structured and unstructured data to identify patterns, process gaps, and key risk indicators that drive data-based decisions for leadership.
Roles and Responsibilities
- MIS Reporting: Support the development of MIS reporting solutions for risk and compliance metrics.
- Data Analysis: Perform data analysis to identify trends and key risk indicators (KRIs). Assist in root cause analysis by gathering data and identifying risk drivers.
- Dashboards & Presentations: Develop and maintain automated dashboards and presentations for leadership review.
- Collaboration: Collaborate with global stakeholders to support risk-based decision-making.
- Process Improvement: Contribute to process improvement efforts using AI and advanced automation tools.
- Documentation: Document reporting frameworks, methodologies, and operational workflows.
- Ad-hoc Analysis: Handle ad-hoc analysis projects focused on strengthening the control environment.
Skills and Eligibility Criteria
Educational Background: B.Tech/B.E, BCA, or B.Sc in Computer Science/Information Technology.
Mandatory Technical Skills:
- Proficiency in Microsoft Excel (Advanced formulas) and PowerPoint.
- Basic knowledge of SQL, Python, or Power BI (Preferred).
- Familiarity with Risk Management or Financial Services concepts is a plus.
Competencies:
- Strong problem-solving abilities and high attention to detail (Analytical Skills).
- Excellent verbal and written communication for stakeholder collaboration.
- Ability to work efficiently with large, complex datasets (Data Handling).