Senior Fraud Manager, Europe

Key Skills

AWS, Data pipelines, Effective communication skills, ETL frameworks, Google BigQuery, Google Cloud Platform (GCP), Leadership Skill, Machine learning techniques, Python Programming, SQL

Job Description

Despite the challenges of the pandemic, Hopper managed to have triple-digit year-over-year revenue growth in 2021. In fact, with over 70 million downloads, Hopper is the fastest-growing travel-tech company and that is driven in large part by the performance of our unique fintech products which offer travelers an unparalleled level of flexibility and control. Since 2022, Hopper has been successfully expanding to Europe, achieving great results for the business and our users.

During our business expansion to Europe markets, we encountered some significant challenges around fraud including payment fraud and incentive fraud. As Senior Fraud Manager, Europe, you will be overseeing the entirety of anti-fraud endeavors for the Hopper’s growth in Europe, which means you will be responsible for implementing and maintaining the tools, systems, and workflows to identify when fraud occurs and quickly remedy its impact. You will be the point person for investigations of suspect fraud attacks, for understanding the causes of fraud, and for proposing the appropriate immediate and longer-term actions to implement

To succeed at Hopper you must have a passion for travel and hospitality, love to shop and buy products on your phone, and prefer a start-up culture to a big company bureaucracy. You should be stimulated by growing and empowering your team and enjoy being in the field managing and developing ongoing relationships. You should also be ambitious about your career and eager to take on expanded responsibilities as Hopper grows.

Responsibilities:

• Build up a holistic anti-fraud mechanism and strategy in support of the entirety of Hopper’s Europe expansion
• Monitor daily business metrics and build dashboards to proactively find new fraud attacks as early as possible and highlight anomalies for deeper forensic investigation
• Frame and conduct complex exploratory analyses needed to deepen our understanding of Hopper systems and users
• Use machine learning and big data tools on tremendously large and complex data sets to enhance our fraud detection tools
• Conduct research into various aspects of our business and employ statistical and modeling techniques when appropriate to make recommendations to non-technical stakeholders
• Develop and maintain complex data models, turning raw data into analytical datasets
• Analyze performance, identify internal & external trends from data, troubleshoot issues, identify new opportunities, and address ad hoc data requests
• Draw insights from data and clearly communicate them to technical and non-technical audiences
• Work with the central fraud and risk management team to implement the proper anti-fraud setup to achieve anti-fraud goals

Basic Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience in fraud prevention or a related field.
• ​​Proven experience in building and leading a successful fraud prevention team.
• Experience writing effective narratives. Strong communication skills, written and verbal
• Strong ability to source and analyze data, including running and modifying SQL queries to investigate anomalies and drive data decisions. Should be highly data-driven
• Proficiency in Business Intelligence tools (Google Data Studio) and Anti-Fraud tools like Sift and Riskified
• An innovative and detail-oriented approach to problem-solving

Preferred Qualifications:

• Experience in the payment, e-commerce, or travel industry
• Knowledge of machine learning techniques and predictive modeling
• Strong experience writing complex, clean, and maintainable SQL in a cloud data warehouse environment such as Google Big Query, familiarity with data warehousing concepts (Kimball etc.) considered a bonus 
• Experience working in a cloud ecosystem such as GCP or AWS
• Knowledge of Python, ETL/data pipelines is considered a bonus

Benefits

• Well-funded and proven startup with large ambitions, competitive salary, and equities (stock options, RSU)
• Unlimited PTO
• WeWork All Access Pass OR Work-from-home stipend
• An entrepreneurial culture where pushing limits and taking risks is everyday business
• Open communication with management and company leadership
• Small, dynamic teams = massive impact