Bengaluru, Karnataka, India
5 hours ago
Fraud Intake Data and Reporting Lead

Job Summary: 

The Fraud Intake Data & Reporting Lead is responsible for managing the underlying data and reporting infrastructure for Fraud Intake. This role focuses on ensuring data accuracy, developing and managing reports and dashboards, and providing insights into emerging fraud threats. The successful candidate will work closely with cross-functional teams to align with fraud strategy, ensuring seamless coordination and progress on multiple critical initiatives. 

 

Key Responsibilities: 

Triage and Prioritization Support: 

Review and assess incoming fraud intake requests to determine relative priority and scope.  Identify and coordinate the involvement of appropriate team members to review each fraud trend.  Assign an end-to-end owner for each issue and communicate responsibilities and timelines effectively.  Develop and manage timelines alongside Fraud Strategy teams for issue resolution, ensuring alignment with organizational priorities. 

Tools and Technology Management: 

Administer and manage SharePoint, including list and form creation, data structure management, layout configuration using JSON formatting, and advanced settings regarding data validation rules, versioning, and permissions management.  Develop custom PowerApps forms with data validation and workflow automation to streamline intake processes. Manage data pipeline workflow from SharePoint list to Tableau via Power Query and Excel connections while identifying infrastructural improvements and optimization opportunities. Develop and maintain Tableau dashboards with interactive filters, parameters, and drill down capabilities to provide insights into emerging threats and solutions. Manage Tableau server environment for publishing dashboards with role-based permissions to ensure secure access for leadership and teams. Establish data governance standards for reporting including tableau version control, regular internal audit for data quality, documentation of data definitions and calculation methodologies (preferred). Ensure the accuracy and completeness of underlying data used for monitoring and reporting.  Conduct performance tuning and implement best practices for Tableau data source management. 

Cross-Functional Coordination: 

Coordinate cross-functional efforts, ensuring that emerging fraud threats are integrated into Fraud Strategy backlogs and roadmaps.  Facilitate collaboration across teams to ensure alignment and progress on strategic and other critical initiatives. 

Data Analysis and Reporting: 

Develop and manage reports and near real-time dashboards to provide insights into emerging threats and solutions.  Conduct analytics to identify trends and inform decision-making processes.  Collaborate with stakeholders to ensure reporting meets organizational needs and supports strategic objectives. 

Collaboration and Communication: 

Work closely with internal stakeholders, including Fraud Strategy, Trust & Security, Fraud Operations, Risk Management, and IT, to ensure timely and effective responses to incidents.  Utilize Confluence, Jira and other tools as needed for documentation and project management. 

 

Qualifications: 

Bachelor's degree in Finance, Business Administration, Information Technology, or a related field.  Experience in fraud prevention, risk management, data analysis, or a related field preferred.  Strong understanding of SharePoint administration, including list and form creation, configuration, and permissions management.  Proficiency in Tableau server environment and development, including dashboard creation with interactive filters and parameters, data source pipeline, data modeling, and performance tuning.  Experience with Advanced Excel, Alteryx, PowerApps and Power Query.  Excellent analytical, problem-solving, and decision-making skills.  Strong communication and interpersonal skills, with the ability to collaborate with stakeholders.  Proven track record of managing tools and technology infrastructure to support strategic initiatives. 

 

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