About Vagaro Technologies Pvt Ltd:

Vagaro is a leading technology platform empowering business with seamless payment processing and fraud prevention solutions. As we continue to scale, we are looking for a Transaction Fraud Strategist to help us detect and mitigate fraudulent activities, protecting both our merchants and customers.

This role is ideal for a data-driven professional with a strong background in fraud prevention, risk analysis, and transaction monitoring. You’ll play a pivotal role in identifying suspicious behavior, optimizing fraud strategies, and ensuring compliance with regulatory standards.

Perks We Offer:

We believe in fostering a healthy work environment that encourages work-life balance and nurtures employee well-being. As part of our commitment to your growth and satisfaction, we are pleased to offer the following perks:

5-day workweek
Yearly performance bonus

Leave encashment.

Maternity leave provisions

Comprehensive Mediclaim coverage for family

15 paid leaves

11 Public Holidays

Work-life balance initiatives:

Engaging Fun-Friday activities

Engaging Tech-Friday activities

Art of Living - Stress management workshop.

Relaxing library and gaming zones

Flexible work schedule

Job Description: The Transaction Fraud Strategist will be responsible for mitigating and preventing transaction fraud losses. Working closely with cross-functional teams, you will analyze transactional data, identify patterns, and develop proactive measures to mitigate risks. You will also collaborate with internal and external stakeholders to stay ahead of emerging fraud trends and implement innovative solutions to combat fraud effectively.

Responsibilities:

Monitor transactional activity across multiple payment channels to detect fraud patterns and unauthorized transactions.
Investigate suspicious accounts and activities, using data analysis and fraud detection tools to assess risk.
Analyze large datasets to identify emerging fraud trends, vulnerabilities, and areas of improvement in risk mitigation strategies.
Develop and maintain fraud detection rules to optimize the balance between fraud prevention and customer experience.
Perform chargeback analysis, identifying root causes and implementing proactive measures to reduce losses.
Work with data science and engineering teams to enhance fraud detection models, incorporating machine learning and behavioral analytics.
Ensure compliance with industry regulations, card network rules, and internal risk policies.
Collaborate with customer support to assist with fraud-related inquiries and merchant risk assessments.
Maintain and report key fraud metrics, providing insights to leadership for continuous fraud strategy improvement.
Stay ahead of industry fraud trends, researching new fraud schemes, regulatory changes, and fraud prevention best practices.
Contribute to process automation, optimizing fraud review workflows to improve efficiency and scalability.
Support escalations and high-priority fraud investigations, working cross-functionally with legal, compliance, and external partners when needed.

Skills

3+ years of experience in fraud prevention, transaction monitoring, risk analysis, or financial crime investigations.
Strong analytical skills, with experience working with large datasets to detect fraud patterns (SQL, Power BI, or similar tools).
Knowledge of payment processing systems, card network chargebacks, and industry best practices in fraud risk management.
Familiarity with fraud detection tools and machine learning-driven fraud models (e.g., Cybersource, Ekata, or similar).
Experience investigating financial fraud, including identity theft, synthetic identities, and merchant fraud schemes.
Understanding of AML, KYC, and compliance regulations related to fraud risk management.
Ability to work cross-functionally, collaborating with risk, product, compliance, and operations teams.
Detail-oriented and investigative mindset, with strong problem-solving skills and a proactive approach to fraud prevention.
Excellent communication skills, with the ability to document findings and present insights effectively.

Preferred Qualifications

Experience working in fintech, payments, or e-commerce fraud prevention.
Knowledge of regulatory frameworks like PCI DSS, AML regulations, or card network risk requirements.
Certifications such as CFE (Certified Fraud Examiner) or CAMS (Certified Anti-Money Laundering Specialist) are a plus.