JUSH KAMELLA

• Sourced data from a variety of sources
• Analysed, understood, manipulated and validated the data
• Clearly communicated and presented updates to technical and non-technological stakeholders
• Actively participated in Daily Standups, Sprint Planning, Showcases and Retrospective ceremonies
• Conducted ad hoc data analysis as required by the squad

• Initiate, design and implement fraud detection strategies based on analyzing data, indicators and changing trends
• Identify fraud patterns and anomalies through the effective analysis of large quantities of data
• Communicate results of complex data, analysis and findings into meaningful and actionable insights for senior management and key stakeholders
• Work closely with stakeholders to mitigate fraud and minimize loses
• Liaise with wider teams and governing bodies
• Conduct process analysis and drive process improvement
• Lead key projects & initiatives

Role responsibilities:

• Ongoing development and delivery of regular and ongoing critical Risk & Sales reporting requirements for local and international teams and rhythms
• Provide leadership, guidance and insights via the identification of key issues based on commercial portfolio and business segment data enhanced by market insights that will assist CDF ANZ in Business decisions, risk management, and process improvements
• Collaborate and develop sound and effective working relationships with key stakeholders
• Promote strong collaboration between broader CDF team and the CDF Risk & Sales functions, locally and internationally
• Knowledge sharing with peers promoting cross skill enhancement within Risk, Sales and the broader CDF business
• Mentor and train junior analysts

• Interpret data, analyze results and provide ongoing reports
• Locate and define new process improvement opportunities
• Designing of queries, compiling of data, and generation of reports in Excel
• Evaluate data and report findings for accuracy, completeness, intent, and scope
• Determine or agree upon deliverables, and manage delivery expectations with stakeholders
• Present data and provide feedback to stakeholders, making recommendations where appropriate
• Seek and adopt best practices in data reporting

• Make relevant and informed recommendations based on analytical findings.
• Support management by supplying relevant reporting, analysis and insight to assist in decisions relating to credit portfolio management.
• Support of ad-hoc requests for data and analysis.
• Managing Unsecured book ­- Personal Loans, Overdrafts and Credit Cards.
• Building and running dashboards (monitoring performance).
• Extensive monthly reporting.
• Monthly forum discussions with upper level management to discuss portfolio performance.
• Work closely with Loan Origination, Collections & Recoveries, Product Management and Marketing teams to understand the key risks and issues of the product.
• Process Improvement and Optimisation.