Manager - Fraud Analytics
About the job
SummaryBy Outscal
About the job:
As a Manager in Fraud Analytics, you will play a key role in monitoring, analyzing, and preventing fraudulent activities across our payment platforms. You will be responsible for building and maintaining fraud detection models, configuring rules, and supporting control-related projects. You will also collaborate with other teams such as Risk ops, Product, and Engineering to ensure that the organization’s risk controls are both effective and scalable. Key responsibilities include: Developing and refining fraud detection models, monitoring real-time transaction data, configuring fraud detection rules, analyzing fraud trends, collaborating with cross-functional teams, supporting fraud-related control projects, preparing fraud risk reports, ensuring regulatory compliance, improving fraud monitoring tools, and participating in regulatory audits.
Must have:
- Bachelor's degree in Data Analytics, Statistics, Risk Management, or related field
- 4-5 years of experience in fraud analytics, risk management, or related role
- Strong understanding of fraud detection techniques
- Experience with fraud detection tools, transaction monitoring systems, and data analytics platforms
- Familiarity with RBI guidelines and other regulatory frameworks
- Strong analytical and problem-solving skills
- Excellent communication skills
- Experience working in a high-volume transaction environment
Good to have:
- Knowledge of machine learning models for fraud detection
- Experience working with fraud detection systems in the fintech space
- Familiarity with compliance and audit requirements in a regulated financial environment
Position: Manager – Fraud Analytics
Role Overview:
As a Manager in Fraud Analytics, you will play a key role in monitoring, analyzing, and preventing fraudulent activities across our payment platforms. Reporting to the Senior Manager – Fraud Analytics, you will be responsible for building and maintaining fraud detection models, configuring rules, and supporting control-related projects. You will also collaborate with other teams such as Risk ops, Product, and Engineering to ensure that the organization’s risk controls are both effective and scalable.
Key Responsibilities:
•Develop and refine fraud detection models, leveraging both rule-based and data-driven approaches to prevent and mitigate fraud risks.
•Monitor real-time transaction data for suspicious activity, escalating concerns and providing recommendations for corrective action.
•Assist in the configuration of fraud detection rules within the transaction monitoring system, ensuring accuracy and minimal false positives.
•Analyze fraud trends and transaction patterns to proactively address potential vulnerabilities and emerging fraud schemes.
•Collaborate with cross-functional teams, including Risk, Compliance, and Product, to ensure fraud risk mitigation strategies are aligned with business objectives.
•Support fraud-related control projects, from planning through to execution, ensuring compliance with RBI regulations and internal risk frameworks.
•Assist in preparing fraud risk reports for senior management, outlining key insights, emerging trends, and actionable recommendations.
•Work closely with the Senior Manager to ensure regulatory requirements are met, including adherence to RBI and other regulatory standards.
•Continuously improve fraud monitoring tools and techniques, suggesting enhancements to improve fraud detection accuracy and efficiency.
•Participate in regulatory audits and assist in responding to fraud-related queries from authorities.
Qualifications:
•A bachelor’s degree in Data Analytics, Statistics, Risk Management, or a related field is preferred
•4-5 years of experience in fraud analytics, risk management, or a related role within the fintech or payments industry.
•Strong understanding of fraud detection techniques, including rule-based systems and data-driven models.
•Experience with fraud detection tools, transaction monitoring systems, and data analytics platforms.
•Familiarity with RBI guidelines and other regulatory frameworks governing payment companies in India.
•Strong analytical and problem-solving skills, with the ability to identify trends and make data-driven decisions.
•Excellent communication skills, with the ability to present insights and findings clearly to both technical and non-technical audiences.
•Experience working in a high-volume transaction environment, such as a payments gateway, mobile wallet, or UPI system.
Preferred Skills:
•Knowledge of machine learning models for fraud detection.
•Experience working with fraud detection systems in the fintech space, especially in a licensed TPAP setup.
•Familiarity with compliance and audit requirements in a regulated financial environment.
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