Vice President - Fraud & Scam Services - BFS

Role Overview:

As the Vice President Fraud and Scam Services, you will be responsible for leading the development and execution of our fraud and scam detection strategies. You will oversee a team of analysts and engineers, working closely with product, engineering, and operations teams to identify emerging fraud trends, develop innovative detection models, and implement effective prevention measures. This role directly impacts the security and trust of our platform, protecting millions of users and ensuring the integrity of our financial ecosystem.

Key Responsibilities:

- Develop and implement comprehensive fraud and scam detection strategies aligned with business objectives and risk appetite.

- Lead a team of fraud analysts and engineers, providing guidance, mentorship, and performance management.

- Analyze transaction data and identify emerging fraud patterns and vulnerabilities to proactively mitigate risks.

- Collaborate with product and engineering teams to design and implement fraud prevention controls and detection systems.

- Monitor and evaluate the effectiveness of fraud detection models and rules, making adjustments as needed to optimize performance.

- Conduct thorough investigations of suspected fraud incidents, working with legal and compliance teams to ensure appropriate action.

- Stay abreast of industry trends and best practices in fraud prevention and scam detection, incorporating new knowledge into strategies and processes.

- Present fraud risk assessments and mitigation plans to senior management and stakeholders.

- Manage relationships with external fraud intelligence providers and law enforcement agencies.

Required Skillset:

- Demonstrated expertise in Fraud Analysis and Scam Detection methodologies and technologies.

- Proven ability to lead and manage high-performing teams in a fast-paced environment.

- Strong analytical and problem-solving skills, with the ability to interpret complex data and identify actionable insights.

- Excellent communication and presentation skills, with the ability to effectively convey technical information to both technical and non-technical audiences.

- Deep understanding of payment systems, fraud schemes, and regulatory requirements related to fraud prevention.

- Experience with machine learning and statistical modeling techniques for fraud detection.

- Ability to collaborate effectively with cross-functional teams and stakeholders.

- Bachelor's degree in a relevant field such as Computer Science, Statistics, Finance, or a related discipline. A Master's degree is preferred.

- Adaptability to a hybrid work environment in Delhi NCR.