Senior Manager – Risk Management (Fraud Prevention & Detection)

Skills:
Fraud Risk Management | Fraud Detection | Risk Analytics | Financial Crime Prevention | Transaction Monitoring | AML | Data Analytics | Machine Learning | Regulatory Compliance

Department: Risk & Compliance / Fraud Management
Employment Type: Full Time
Work Mode: Onsite / Hybrid / Remote
Experience: 8–15 Years

About the Role

We are seeking an experienced Senior Manager – Risk Management (Fraud Prevention & Detection) who brings deep domain expertise in fraud risk along with strong analytical and consulting capabilities.

This role requires the ability to translate complex data, technology, and analytics into measurable business outcomes, driving effective fraud prevention strategies across digital platforms and financial systems.

You will lead initiatives focused on fraud detection, risk mitigation, and transaction monitoring, working closely with cross-functional teams to design scalable solutions that protect customers, reduce losses, and ensure regulatory compliance.

Key Responsibilities

Fraud Strategy & Risk Management

• Define and implement fraud prevention and detection strategies across products and channels
• Develop frameworks for:
  • Transaction monitoring
  • Fraud risk scoring
  • Alert management and investigation
• Identify emerging fraud trends and design proactive mitigation strategies
• Drive continuous improvement in fraud detection accuracy and efficiency

Fraud Detection & Analytics

• Build and manage rule-based and model-driven fraud detection systems
• Leverage advanced analytics and machine learning for:
  • Fraud pattern recognition
  • Anomaly detection
  • Behavioral analytics
• Monitor key fraud metrics and optimize detection thresholds
• Analyze large datasets to identify fraud risks and operational gaps

Technology & Platform Integration

• Work with engineering teams to design and implement fraud detection platforms and tools
• Integrate fraud systems with:
  • Payment platforms
  • Transaction systems
  • Customer data platforms
• Ensure real-time fraud detection capabilities with low latency

Risk Governance & Compliance

• Ensure adherence to:
  • Regulatory requirements
  • Internal risk and compliance policies
• Support audits, regulatory reporting, and compliance reviews
• Align fraud strategies with AML and financial crime prevention frameworks

Stakeholder Management & Consulting

• Collaborate with:
  • Product teams
  • Engineering teams
  • Compliance and legal teams
• Translate business requirements into risk solutions
• Provide strategic recommendations to senior leadership
• Act as a subject matter expert for fraud risk and prevention

Team Leadership & Operations

• Lead and mentor fraud risk and analytics teams
• Oversee fraud operations including:
  • Alert handling
  • Investigations
  • Escalations
• Drive operational efficiency and process improvements
• Build a high-performance, data-driven risk culture

Performance Monitoring & Optimization

• Define and track KPIs such as:
  • Fraud loss rates
  • False positive rates
  • Detection accuracy
• Continuously optimize fraud models and rules
• Implement feedback loops to improve system performance

Required Qualifications

• Bachelor’s or Master’s degree in Finance, Analytics, Computer Science, or related field
• 8–15 years of experience in:
  • Fraud risk management
  • Financial crime prevention
  • Risk analytics
• Strong domain expertise in:
  • Payment fraud
  • Digital fraud
  • Transaction risk management
• Experience with:
  • Fraud detection tools and platforms
  • Data analytics and reporting

Technical Skills

Analytics & Data

• SQL, Python, or R
• Data visualization tools (Tableau, Power BI)
• Experience with large-scale data analysis

Fraud & Risk Systems

• Transaction monitoring systems
• Rule engines and risk scoring systems
• Case management and investigation tools

Machine Learning (Preferred)

• Fraud modeling and anomaly detection
• Supervised and unsupervised learning techniques

Compliance & Regulations

• AML, KYC, and financial crime frameworks
• Regulatory standards and reporting requirements

Professional Competencies

• Strong analytical and problem-solving skills
• Ability to translate data into actionable insights
• Strong stakeholder management and communication skills
• Leadership and team management capabilities
• Strategic thinking with execution focus
• Ability to work in fast-paced, high-risk environments

Why This Role is High Impact

• Protect critical systems from fraud and financial risk
• Drive data-driven fraud prevention strategies
• Influence risk management and compliance frameworks
• Work on high-scale transaction systems and real-time detection
• Play a key role in safeguarding business and customer trust

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