Senior Manager – Analytics, AI Driven Strategy

This is a fully remote position, open to applicants in Pakistan.

📋 Description

• Lead sophisticated analytics utilizing SQL, SAS, Python, and AI/Gen AI methodologies to identify emerging fraud trends.

• Perform thorough assessments of VRM/FraudGuard rules; suggest improvements to enhance detection precision and minimize false positives.

• Create analytical models, scenario analyses, and predictive strategies to bolster fraud surveillance.

• Advocate for the incorporation of AI/Gen AI tools in fraud detection processes.

• Supervise productivity, SLA compliance, and performance metrics of fraud detection teams across Issuing and Acquiring sectors.

• Execute root cause and gap analyses to identify inefficiencies and propose actionable enhancements.

• Design performance dashboards and scorecards utilizing Power BI and Excel.

• Guarantee timely, precise, and automated Management Information Systems (MIS) for senior leadership, committees, regulators, and other stakeholders.

• Present comprehensive, data-driven insights with clear and structured analytical information.

• Uphold high-quality governance standards in data reporting and visualization.

• Spearhead the automation of manual data processes through SQL scripts, macros, workflows, and BI tools.

• Maintain secure and scalable fraud databases, ensuring data governance and integrity.

• Introduce automation capabilities through AI/Gen AI to enhance efficiency, accuracy, and processing speed.

• Collaborate with IT, Business, Product, Compliance, and Operations on fraud-related projects and system enhancements.

• Provide analytical support, project insights, and business cases to senior management.

• Assist in strategic planning, forecasting, and committee reporting through strong analytical and presentation skills.

⛳️ Requirements

• Bachelor’s or Master’s degree in Finance, Data Analytics, Computer Science, Information Systems, Business, or related disciplines.

• Certifications in Data Analytics, SQL/SAS/Python, BI Tools, or Fraud Risk are preferred.

• CFE certification is advantageous.

• 7–10 years of progressive experience in Fraud Risk Management, Advanced Analytics, MIS, Data Engineering, or Risk Strategy.

• Proven experience leading analytics, automation, or MIS projects in a financial institution, payments business, or risk function.

• Prior experience in rule analytics, fraud systems optimization, or advanced data modeling is highly desirable.

• Advanced proficiency in SQL, SAS, Python, Power BI, Excel, and data visualization tools.

• Comprehensive knowledge of fraud detection platforms (VRM, FraudGuard, or similar rule engines) with the capacity to analyze, refine, and optimize rules.

• Practical experience in process automation, data pipelines, workflow digitization, ETL concepts, and data warehousing environments.

• Strong understanding of data governance, data quality control, and secure database management practices.

• Capability to translate analytical findings into strategic advice for senior management.

• Excellent verbal and written communication skills, with the ability to present technical information in a professional and succinct manner.

• Exceptional stakeholder management skills; ability to influence senior and cross-functional stakeholders.

• High attention to detail and strong analytical mindset.

🏝️ Benefits

• Health insurance

• Flexible work arrangements

• Professional development

• Paid time off