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Senior Manager – Analytics, AI Driven Strategy at Mashreq | JobVerse
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Senior Manager – Analytics, AI Driven Strategy
Mashreq
Remote
Website
LinkedIn
Senior Manager – Analytics, AI Driven Strategy
Pakistan
Full Time
1 day ago
No Sponsorship
Apply Now
Key skills
ETL
Python
SQL
AI
Data Engineering
Data Warehousing
Analytics
BI
Power BI
Leadership
Stakeholder Management
Risk Management
Strategic Planning
Communication
About this role
Role Overview
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
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.
Tech Stack
ETL
Python
SQL
Benefits
Health insurance
Retirement plans
Professional development opportunities
Apply Now
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