Data Analytics
10 hours ago
Job Purpose:
To strengthen the Internal Audit function by leveraging data analytics for risk assessment, audit planning, and testing of NBFC processes. The role focuses on analyzing large volumes of operational, lending, and financial data to identify control gaps, anomalies, and emerging risks, thereby enabling data-driven assurance and decision-making.
Key Responsibilities:
- Develop and execute data analytics models to support audits across key NBFC functions such as loan origination, disbursement, collection, NPA monitoring, and customer servicing.
- Extract, validate, and analyze data from ERP, CRM, and other applications to identify process deviations and potential risk indicators.
- Design dashboards and exception reports for continuous monitoring of high-risk areas.
- Collaborate with functional teams to integrate analytics into audit engagements and risk assessments.
- Identify patterns and trends indicating fraud risks, revenue leakages, or control lapses.
- Automate audit testing through scripting and visualization tools for efficiency and reliability.
- Maintain detailed documentation of analytical procedures, data sources, and logic used.
- Present insights and recommendations to management with clear visualization and business context.
- Support the digital transformation of the Internal Audit function through analytics and automation initiatives.
Key Skills & Competencies:
- Proficiency in Power BI, or similar tools.
- Strong analytical and data interpretation abilities.
- Good understanding of NBFC operations lending cycle, collections, and regulatory reporting.
- Knowledge of internal control frameworks and risk-based audit methodology.
- Ability to translate data insights into actionable audit findings.
- Strong communication and presentation skills.
Qualifications & Experience:
- Graduate / Postgraduate in Data Analytics, Statistics, Computer Science, or Finance.
- Preferred certifications: Certified Data Analyst, ACL Certified Data Analyst (ACDA), Power BI Certification, CISA, or CIA (with analytics focus).
- 2–6 years of relevant experience in data analytics within internal audit, risk management, or operations — preferably in an NBFC, Bank, or FinTech.
Value Addition:
- Experience with lending platforms (e.g., FinnOne, LOS/LMS, Oracle Financials) will be an advantage.
- Exposure to RBI reporting, ECL computation, and MIS data reconciliation will be preferred.
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