Senior Manager – Analytics, AI Driven Strategy

🕒 3 days ago

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Mashreq

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1967

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

Mashreq is a leading financial institution based in the UAE, offering a wide range of banking services including personal, corporate, and investment banking. The bank focuses on providing innovative financial solutions to its customers and has a strong digital banking presence.

📋 Description

• 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.

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development • Paid time off