Sr. Anti Abuse Analyst

5 Months ago • 5 Years + • $146,500 PA - $170,000 PA

Job Summary

Job Description

The Sr. Anti Abuse Analyst will be responsible for identifying, investigating, and mitigating scaled abuse threats to Tinder. This includes leading the on-call incident response process, monitoring and investigating emerging abuse trends, mentoring junior team members, and driving complex projects. The analyst will develop scalable and efficient abuse detection systems, collaborate with cross-functional partners, and address underlying abuse patterns. The role requires proactive identification, investigation, and mitigation of abuse threats through data-driven insights, automation, and advanced detection techniques.
Must have:
  • 5+ years of experience in Trust & Safety or related field.
  • Expertise in Python, SQL, Spark, or similar big data tools.
  • Deep knowledge of abuse threat actors and evasion tactics.
  • Experience leading cross-functional initiatives.
  • Exceptional communication and presentation skills.
Good to have:
  • BS/MS in Computer Science, Information Systems, or related field.
  • Experience in creating and maintaining algorithms.
  • Knowledge and familiarity with persistent scaled abuse threat actors.
  • Experience uncovering indicators of abuse.
  • Experience in leading technical projects and mentoring junior team members.

Job Details

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”™"



Our Values


One Team, One Dream

We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.


Own It

We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.


Never Stop Learning

We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.


Spark Solutions

We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.


Embrace Our Differences

We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.


The Team and Role

The Tinder Integrity team is responsible for systems, algorithms, and policies that keep Tinder and its members safe. It is a multidisciplinary team of engineers, ML practitioners, product managers, analysts, and policy experts.


Our Anti Abuse team is responsible for proactively identifying, investigating and mitigating scaled abuse and other threats to the integrity of Tinder. The team works cross-functionally to design, build, test, and implement automated detection signals and algorithms that accurately and effectively target bad actors at scale.


Where you’ll work

This is a hybrid role and requires in-office collaboration two times per week (Los Angeles).


In this role, you will:
  • Own and lead detection areas, proactively identifying, investigating, and mitigating scaled abuse threats through data-driven insights, automation, and advanced detection techniques.
  • Lead and improve the on-call incident response process, ensuring efficient triage, escalation, and resolution of emerging threats. Define best practices and enhance automated responses to minimize manual intervention.
  • Monitor and investigate emerging abuse trends, linking anomalous activity to core KPIs and implementing proactive mitigation strategies.
  • Mentor and guide junior team members, sharing technical expertise, developing best practices, and ensuring consistency in detection methodologies.
  • Drive and deliver complex projects, from problem discovery to execution, ensuring measurable impact while continuously iterating on detection systems.
  • Develop scalable, durable and efficient abuse detection systems, optimizing for complexity, precision, and performance while proactively surfacing new abuse tactics and vulnerabilities.
  • Discover and address underlying abuse patterns, leveraging reports and insights from different sources to refine detection strategies and create repeatable engineering solutions.
  • Collaborate with cross-functional partners (Product, Policy, Member Experience, and Engineering) to align detection strategies with broader safety initiatives.


You will need:
  • 5+ years of professional experience in Trust & Safety, Cybersecurity, Anti-Spam, Anti-Abuse, or a related field, with a strong track record of ownership and project delivery.
  • Professional expertise in Python, SQL, Spark, or similar big data query tools, with the ability to build, optimize, and productionize large-scale detection systems.
  • Deep knowledge of abuse threat actors and evasion tactics, with experience designing scalable, high-precision detection and remediation models.
  • Proven experience leading cross-functional initiatives with Product, Engineering, and customer-facing teams to drive impactful safety improvements.
  • 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.


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