Senior Manager – Analytics, AI Driven Strategy

Mashreq

Senior Manager leading advanced fraud analytics and AI-driven strategy at MashreqBank. Optimizing fraud detection processes and integrating AI capabilities for enhanced fraud risk management.

Posted 6/3/2026full-timeRemote • 🇵🇰 PakistanSeniorWebsite

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Lead advanced analytics using SQL, SAS, Python, and AI/Gen AI techniques to detect emerging fraud patterns.
Conduct in depth evaluations of VRM/FraudGuard rules; recommend enhancements to improve detection accuracy and reduce false positives.
Develop analytical models, scenario analyses, and predictive approaches to strengthen fraud surveillance.
Champion the integration of AI/Gen AI tools in fraud detection workflows.
Oversee productivity, SLA adherence, and performance analytics of fraud detection teams across Issuing and Acquiring.
Conduct root cause and gap analysis to highlight inefficiencies and recommend actionable improvements.
Develop performance dashboards and scorecards using Power BI and Excel.
Ensure timely, accurate, and automated MIS for senior leadership, committees, regulators, and other stakeholders.
Deliver comprehensive, data driven presentations with clear and structured analytical insights.
Maintain high quality governance standards in data reporting and visualization.
Lead automation of manual data processes through SQL scripts, macros, workflows, and BI tools.
Maintain secure, scalable fraud databases and ensure data governance and integrity.
Introduce AI/Gen AI automation capabilities to enhance efficiency, accuracy, and processing speed.
Collaborate with IT, Business, Product, Compliance, and Operations for fraud-related initiatives and system enhancements.
Provide analytical support, project insights, and business cases to senior management.
Support strategic planning, forecasting, and committee reporting through strong analytical and presentation capabilities.

Requirements

What you’ll need

Bachelor’s/Master’s in Finance, Data Analytics, Computer Science, Information Systems, Business, or related fields.
Certifications in Data Analytics, SQL/SAS/Python, BI Tools, or Fraud Risk (preferred).
CFE certification is preferable.
7–10 years of progressive experience in Fraud Risk Management, Advanced Analytics, MIS, Data Engineering, or Risk Strategy.
Demonstrated experience leading analytics, automation, or MIS initiatives in a financial institution, payments business, or risk function.
Prior experience in rule analytics, fraud systems optimization, or advanced data modelling is highly desirable.
Advanced expertise in SQL, SAS, Python, Power BI, Excel, and data visualization tools.
In-depth knowledge of fraud detection platforms (VRM, FraudGuard, or similar rule engines) with capability to analyze, tune, and optimize rules.
Hands-on experience in process automation, data pipelines, workflow digitization, ETL concepts, and data warehousing environments.
Strong command over data governance, data quality control, and secure database management.
Ability to translate analytical output into strategic recommendations for senior management.
Strong verbal and written communication skills with the ability to present technical findings in a professional, concise manner.
Excellent stakeholder management; ability to influence senior and cross-functional stakeholders.
High attention to detail and strong analytical thinking.

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development
Paid time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLSASPythonAIGen AIdata modelingautomationdata visualizationperformance analyticsroot cause analysis

Soft Skills

analytical thinkingcommunication skillsstakeholder managementpresentation skillsattention to detailleadershipcollaborationstrategic planningproblem-solvinginfluence

Certifications

CFEData AnalyticsSQL certificationSAS certificationPython certificationBI Tools certificationFraud Risk certification