About the team:
This team involves in making a difference. A lot of contingency and new challenges are encouraged
within the team to do stuff that is meaningful for those we serve. We are successful, and our successes
are rooted in our people's collective energy and unwavering focus on the employees, and that's how it will
always be change management in Social Media.
About the Role:
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 organizations 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 bachelors degree in Data Analytics, Statistics, Risk Management, or a related field is preferred.
4-8 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.
