Anti Abuse Analyst II

Our Mission:

Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™

Where you’ll work:

In this role, you will:

• Be on the front lines of addressing emerging threats by participating in an on-call rotation, providing incident response and triage, implementing algorithm updates, and executing timely actions to mitigate abuse and protect the platform at scale.
• Proactively identify and disrupt scaled abuse threats prevalent on the platform through enhancements and updates to automated detection systems.
• Monitor emerging anomalies in Tinder’s core KPIs (such as user activity) to identify and mitigate the root causes of malicious behavior.
• Leverage data mining and threat intelligence to track and profile persistent abuse threats and trends, linking their activity to KPIs and enabling targeted strategies.
• Work cross-functionally with Engineering, Product and Policy to strengthen threat detection and remediation strategies.
• Continually improve our team’s ability to measure impact by partnering with analytics and data science teams to implement and refine metrics to better detect and understand nuanced abuse patterns.

You will need:

• 1+ year of professional experience in data analytics or data science with a focus on Trust and Safety, Cybersecurity, Anti-Spam, Anti-Abuse, or a related field.
• Professional experience with Python, SQL, Spark, or similar big data query tools for building data models to support specialized analyses.
• Familiarity with Python-based analytics environments, such as Databricks, and/or with data visualization tools, such as Grafana, Mode, and Tableau.
• Exceptional communication and presentation skills, especially to executive and non-subject-matter-expert audiences.

Nice to have:

• BS/MS or equivalent experience in Computer Science, Information Systems, Intelligence Studies, Cybersecurity or related field.
• Professional experience in creating and maintaining algorithms.
• Knowledge and familiarity with persistent scaled abuse threat actors.
• Experience uncovering indicators of abuse and applying creative strategies to mitigate.
• Experience in leading technical projects and mentoring junior team members.