AVP - Fraud Data Analytics

RAKBANK; Dubai; On-site; AED 80,000 - 120,000; Full time

Job summary

An established industry player is seeking an experienced Assistant Vice President of Fraud Data Analytics to lead fraud detection and prevention initiatives. This pivotal role involves developing advanced analytics strategies, collaborating with IT and compliance teams, and analyzing large datasets to identify and mitigate fraud risks. The ideal candidate will possess strong problem-solving skills and the ability to communicate complex data insights effectively. Join a dynamic team committed to innovation and excellence in the financial services sector, and help shape the future of fraud prevention in banking.

Qualifications

• 8-10 years of experience in fraud analytics or risk management in banking.
• Expertise in fraud detection technologies and statistical modeling.

Responsibilities

• Develop and implement fraud prevention strategies using advanced analytics.
• Analyze large datasets to identify fraudulent behavior and enhance prevention.

Skills

Fraud Analytics

Data Analysis

Problem-Solving

Stakeholder Management

Statistical Modeling

Communication

Education

Bachelor’s or Master’s degree in Data Science

Certifications like CFE

Tools

SAS Fraud Management

SAS Visual Analytics

Power BI

SAP Business Objects

SQL

Python

R

Job description

RAKBANK, also known as the National Bank of Ras Al-Khaimah, is a Public Joint Stock Company based in the United Arab Emirates (UAE). It was founded in 1976 and is one of the oldest banks in the UAE. The Bank operates within retail and corporate banking, offering a range of services including personal and business banking, credit cards, loans, investment services, and wealth management.

In recent years, the Bank has achieved significant milestones, including being named one of the world's best banks by Forbes ME (2022) and receiving the UAE's SME Bank of the Year award by the Asian Banking and Finance Awards. The Bank has maintained the highest profitability and lowest cost of risk since 2015, with notable growth in acquiring business, card spending, and business loans.

As part of its transformational journey, RAKBANK has partnered with Honeywell to take steps towards sustainability by reducing energy consumption.

We are a diverse team of over 3,000 employees from 58 countries, committed to building talented, diversified teams and fostering a work environment that promotes work-life balance, career development, recognition, and security.

Aligned with our strategy, a key aspect of our transformation is to future-proof our bank and establish ourselves as a ‘Digital bank with a human touch’ for our customers.

Join us in co-creating the future of RAKBANK!

Job Description

We are seeking an experienced and analytical Assistant Vice President (AVP) of Fraud Data Analytics to join our team in Dubai, UAE. In this role, you will lead our fraud detection and prevention efforts using advanced data analytics techniques.

Job Purpose

The role involves overseeing fraud risk assessment by developing, implementing, and maintaining fraud detection systems and analytics processes. You will collaborate with IT, compliance, risk management, and operations to ensure system integrity and security. Your responsibilities include analyzing large datasets to identify fraudulent behavior and designing automated systems for real-time monitoring, staying updated on fraud trends and technologies to enhance prevention strategies. This position requires excellent problem-solving skills, integrity, and the ability to communicate complex technical information to non-technical stakeholders.

What you will do

Strategic Responsibilities

• Develop and implement fraud prevention strategies using advanced analytics, machine learning, and real-time monitoring systems.
• Ensure compliance with relevant laws and regulations, working closely with legal and compliance teams.
• Lead a team of fraud analysts and collaborate with departments such as IT, legal, and customer service. Communicate effectively with senior management and stakeholders.

Operational Responsibilities

Reporting & Data Insights

• Design and maintain dashboards and reports on fraud losses, transaction monitoring, and key risk indicators using SAS Visual Analytics, Power BI, and SAP Business Objects.
• Analyze large datasets from banking systems to generate insights for fraud prevention and risk assessment.
• Support regulatory and internal reporting, ensuring compliance with standards.

Fraud Rules & Model Management

• Develop and optimize fraud detection rules within SAS Fraud Management.
• Monitor rule performance, conduct root cause analysis, and fine-tune rules.
• Collaborate on fraud rules strategy and support deployment of machine learning models.
• Document rule logic, maintain version control, and manage workflows for rules deployment.

Analytics & Stakeholder Engagement

• Lead advanced analytics initiatives with the Analytics Department.
• Partner with stakeholders to identify analytics-driven fraud mitigation opportunities.
• Present findings to senior management and influence strategic decisions.
• Share intelligence with Cyber Security and AML teams.

Governance & Continuous Improvement

• Review and enhance counter-fraud strategies and policies.
• Ensure adherence to internal controls and data governance standards.
• Assist in implementing the Anti-Fraud Framework and related policies.

Qualifications

What you will bring:

• Bachelor’s or master’s degree in data science, Statistics, Computer Science, Banking, or related field.
• 8-10 years’ experience in fraud analytics or risk management in banking or financial services.
• Experience with rules deployment on fraud management systems (e.g., SAS Fraud Management, FICO Falcon).
• Expertise in data analysis, statistical modeling, and fraud detection technologies.
• Understanding of banking products, digital channels, and fraud risks.
• Excellent problem-solving, communication, and stakeholder management skills.
• Knowledge of programming and databases (SAS, SQL, Python, R).
• Certifications like CFE are highly desirable.

Additional Information

Competencies include analytical skills, technological proficiency, investigative skills, regulatory knowledge, communication skills, problem-solving, and attention to detail.