Senior Director, Fraud & Payments

The Role:

The Sr. Director of Fraud and Payments will deliver results while leading Gametime’s initiatives in fraud prevention and payment optimization through the innovative application of machine learning models, advanced statistical methods, and data-driven strategies. This role is central to safeguarding Gametime’s platform from fraudulent activity, particularly credit card fraud, while creating a seamless, efficient, and secure payment experience for our customers. The ideal candidate will combine leadership excellence with deep expertise in data science, analytics, and fraud prevention technologies to enhance decision-making and drive measurable outcomes.

Above & Beyond: The Impact You'll Make:

Leadership and Team Management

• Build and lead a high-performing team focused on fraud prevention and payment optimization, leveraging advanced data science techniques.
• Foster a collaborative, data-centric culture that supports innovation in fraud detection.

Machine Learning and Analytics Strategy

• Drive the adoption of machine learning models for real-time fraud detection, predictive risk assessment, and automated anomaly detection.
• Develop and oversee statistical models to enhance fraud risk scoring, payment optimization, and customer transaction success rates.

Data Strategy and Reporting

• Design and implement frameworks for tracking fraud trends and payment system performance, using advanced data visualization tools.
• Oversee the creation of dashboards and automated reporting systems that provide actionable insights for fraud prevention and business performance optimization.

Risk Mitigation and Optimization

• Deploy statistical techniques and AI-based decision systems to monitor, analyze, and respond to emerging fraud threats proactively.
• Leverage historical data, pattern analysis, and simulation techniques to refine payment processes, reducing false positives and ensuring operational efficiency.

Cross-Functional Collaboration

• Collaborate with Engineering, Product, and Data Science teams to integrate fraud detection systems into scalable architectures.
• Partner with finance, customer support, and external stakeholders to align fraud mitigation strategies with operational and compliance requirements.

External Relations

• Build and maintain relationships with financial institutions, payment processors, and law enforcement agencies to improve resources and response capabilities.
• Negotiate with external partners on fraud-related technology implementation and payment processing enhancements.

Always Be Curious: Skills You've Learned Along The Way:

Technical Skills

• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages such as Python, R, and SQL.
• Strong understanding of fraud prevention tools, statistical modeling techniques (e.g., regression analysis, clustering, anomaly detection), and payment optimization systems.
• Proficiency in big data platforms like AWS, GCP, or Azure and visualization tools such as Tableau or Power BI.

Analytical Excellence

• Proven ability to develop data-driven solutions for fraud detection and payment optimization.
• Experience designing algorithms for real-time transaction risk assessment and fraud scoring.

Interpersonal and Leadership Skills

• Exceptional collaboration and stakeholder management abilities.
• Demonstrated ability to lead through ambiguity in a high-growth, fast-paced environment.

Problem-Solving and Decision-Making

• Ability to proactively identify challenges, leveraging data to implement effective solutions.
• Strong critical thinking and decision-making skills with a focus on scalable results.

One Team One Dream: What We Need to Work Together:

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 8+ years of experience leading fraud prevention or risk management initiatives, with an emphasis on data science applications.
• Hands-on experience building and deploying machine learning models for fraud detection or payment optimization.

Preferred Qualifications

• Master’s or Ph.D. in a quantitative field such as Data Science, Machine Learning, or Statistics.
• Knowledge of automated fraud detection systems and Target Fraud Optimization techniques.
• Prior experience in the ticketing, e-commerce, or marketplace industries.

Performance Metrics

• Fraud Detection: Increase fraud detection rates by deploying advanced machine learning models.
• Payment Success Rates: Achieve a 15% improvement in transaction approval rates while reducing fraud-related chargebacks.
• Innovation Delivery: Successfully implement AI-driven fraud detection systems within the first year.

What We can Offer:

• Flexible PTO
• Competitive salary & equity package
• Monthly Gametime credits for any event ($1,200/yr)
• Medical, dental, & vision insurance
• Life insurance and disability benefits
• Diverse Family-forming benefits through Carrot Fertility
• 401k, HSA, pre-tax savings programs
• Company offsites and meet-ups
• Wellness programs
• Tenure recognition

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.