DVP - Model Risk Auditor & Data Analytics Lead

Overview

Lead internal audits of Model Risk Management and data analytics for TransUnion CIBIL's Internal Audit & Advisory team, acting as the go-to person for the most complex data and analytics assignments.

What you'll do

• Lead planning, execution and reporting of internal audits related to model risk management and data analysis for senior management and regulators.
• Prepare analytics to summarize audit results to inform decision making and evaluation of audit conclusions.
• Establish and drive innovative analytical audit processes leveraging technology to maximize benefits from traditional audits and replace manually intensive control testing.
• Analyze large complex data sets, identify anomalies, trends and risks, and provide usable business insights.
• Source and use data analysis tools to automate audit testing.
• Develop techniques that support the established continuous auditing methodology.
• Identify critical areas for continuous monitoring, from a Concurrent Audit perspective, and develop the necessary reports for monitoring.
• Make, or assist in making, oral or written presentations to management throughout each engagement, discuss deficiencies, recommend corrective actions, and suggest best practice improvements.
• Review and test model governance, development, implementation and validation to evaluate the efficacy of generic scoring models built by TUCIBIL using statistical, ML and mathematical concepts.
• Identify and assess model risks, controls and issues, and highlight gaps and recommendations for improvement.
• Evaluate compliance with applicable company policies, procedures, regulatory standards and best practices.
• Communicate audit findings and recommendations to senior management and stakeholders.
• Follow up and verify the resolution of audit issues and actions.
• Build collaborative working relationships with internal stakeholders at appropriate levels of management.
• Confidently lead meetings to discuss audit issues with management, ensuring understanding of associated risks, root causes and remediation actions.
• Maintain and update knowledge of relevant regulations, standards and best practices for model risk management.
• Monitor ongoing remediation of deficient systems or processes and develop updates or modifications to recommendations and findings as needed.
• Operate autonomously, take ownership of assigned tasks, and interact with other IAA members towards departmental goals.
• Perform other related duties as assigned.

What you'll need

• 12+ years of experience in the financial services industry, ideally in model risk governance, model risk audit, risk management and data analytics.
• A master's degree in Statistics, Mathematics, Data Analytics, or related fields from Tier 1 institutes.
• Experience in model development or model validation.
• Ability to review models from multiple functional areas: Consumer, Commercial, Microfinance, Fraud and Matching algorithms.
• Strong proficiency in R, Python, Spark, SQL, Pyspark, Hive, Tableau, Alteryx, Microsoft Access, PowerPoint, Excel and SharePoint.
• Familiarity with data movement and file transfer methods and tools.
• Experience designing and evaluating data and analytical audit procedures to drive efficiency and insights to stakeholders.
• Experience building or auditing predictive modeling.
• Demonstrated ability to understand complex technologies, business processes, regulations and emerging risks.
• Ability to work independently, handle ambiguous situations and exercise judgement.
• Strong risk analysis and problem-solving skills.
• Strong ability to interact and communicate in writing and verbally with people at all levels, both technical and non-technical.
• Ability to influence people without direct management authority.
• Flexibility to complete assessments on time and manage multiple assessments simultaneously.

Nice to have

• CFA, FRM (or actively working towards) or other similar certifications.
• Exposure to risk scorecards.

Details

• On-site, requiring in-person work at an assigned TU office location as a condition of employment.
• Location: Mumbai, One World Center.