Manager, Fraud Analytics - job 1 of 2

As the Manager, Fraud Analytics at SeatGeek, you'll be responsible for leading a team of analysts in monitoring and mitigating fraud losses. You will analyze KPIs related to fraud trends, design effective fraud strategies, manage vendor relationships, and collaborate with data teams for improved reporting. Your role is pivotal in driving projects that address known fraud issues, ensuring robust strategies and governance, and balancing multiple priorities effectively.

Candidates for the Manager, Fraud Analytics position at SeatGeek should have at least 3 years of experience in fraud management and data analytics, preferably within the ticketing or financial services industry. A Bachelor's degree is required, with an option to substitute 7+ years of related experience. Additionally, strong understanding of payment systems and proficiency in analytical tools such as Python, SQL, or SAS is preferred, along with past people management experience.

Success in the Manager, Fraud Analytics role at SeatGeek is measured through effective mitigation of fraud losses and sustained improvement in KPIs related to fraud prevention. You will also be evaluated on your ability to lead projects that drive strategic change, monitor vendor performance, and communicate insights to senior leadership, ultimately enhancing the overall safety and integrity of the ticketing process.

At SeatGeek, the work environment is collaborative and engaging. As a Manager, Fraud Analytics, you'll work closely with your team and cross-functional partners in Data Science, Engineering, and Risk Ops. The culture emphasizes shared learning, where you'll guide and support analysts while receiving valuable insights from other departments. This creative synergy is vital for developing innovative fraud prevention strategies.

The Manager, Fraud Analytics role at SeatGeek offers significant growth opportunities as you'll be at the forefront of evolving fraud detection strategies. By leading a team and collaborating with various departments, you will enhance your skills in data analytics and fraud risk management. Furthermore, the supportive environment encourages career progression within SeatGeek, allowing you to take on additional responsibilities and explore leadership roles.

In your answer, focus on specific tools you've used such as Python or SQL for data analysis, as well as any fraud detection methodologies you are familiar with. Be prepared to discuss how you applied analytical techniques to identify and mitigate fraud risks, giving concrete examples that highlight your problem-solving skills.

When answering this, emphasize your ability to assess the urgency and impact of projects. Share your method for prioritizing tasks based on costs, benefits, and risks. Provide an example where you successfully balanced competing priorities while achieving desired outcomes in a previous role.

Discuss specific, data-driven strategies that have worked in your previous roles. This could include enhancing the existing fraud detection algorithms, implementing new vendor technologies, or proposing training sessions for your team. Tailor your suggestions to demonstrate your understanding of industry best practices.

In your response, talk about your systematic approach to analyze vague situations. Explain how you utilize data to inform your decisions, even when faced with uncertainty, and share a specific instance where this approach proved successful in your past experiences.

Here, describe a situation where you had to lead your team through a new process or technology implementation. Highlight your leadership style, how you communicated changes, and the outcomes you achieved. This showcases your management capabilities and adaptability.

Your answer should highlight common fraud vectors such as stolen credit card information, account takeovers, and bots. Discuss how understanding these fraud vectors can inform preventive strategies, making your knowledge relevant to the role.

Discuss your approach to vendor management, such as how you evaluate vendor performance and handle communication. Share experiences where you worked collaboratively with vendors to optimize fraud prevention solutions, ensuring alignment with organizational goals.

Mention tools you're adept at, such as Tableau or Power BI, and discuss how you have used them to present analytics findings clearly to stakeholders. Emphasize the importance of visualization in driving insights and fostering informed decision-making.

Provide a specific example illustrating the situation, your approach to analyzing data, and the resolution's impact. This showcases your analytical prowess while demonstrating your proactive stance in fraud prevention.

Convey your passion for protecting organizations from fraud and the satisfaction that comes from solving complex challenges. Highlight your interest in continuous learning within the fast-evolving domain of fraud analytics as a key motivator.