About the Role
Role details below.
Responsibilities
- Proactively investigate Fraud & Abuse risks across product surfaces, including account takeover, content abuse, bots attacks, account subscriptions abuse, and emerging abuse vectors.
- Monitor signals and trends to identify new or evolving abuse patterns before they escalate into major incidents.
- Engage early with product teams to review new features and surfaces for potential abuse risks, helping embed safety and fraud considerations into design decisions.
- Build and improve detection alerts, anomaly signals, and logging to strengthen early identification of fraud and safety risks.
- Support threat modeling and risk assessments for new launches, especially where new capabilities may introduce novel vulnerabilities.
- Partner cross-functionally with engineering, product, policy, and operations to implement scalable abuse mitigations across systems and workflows.
- Lead proactive abuse mitigation efforts by identifying emerging abuse vectors, rallying teams around risk areas, and driving detection and prevention improvements through post-incident learnings.
- Contribute to improving T&S tooling, detection systems, and operational processes to better prevent and mitigate fraud and abuse at scale.
Requirements
- You have 3–5 years of experience in security engineering, detection and response, threat intelligence, or related domains.
- You have strong investigative skills with the ability to analyse logs and identify abuse patterns.
- You have working knowledge of SQL and basic data analysis to support investigations and signal validation.
- You are familiar with product telemetry and common abuse signals (e.g. login anomalies, automation patterns).
- You are comfortable writing and reviewing code in Python, Java, or equivalent.
- You have the ability to collaborate effectively with Data Scientists and Analytics Engineers when deeper analysis is required.
- You have interest in engaging with product teams to identify and mitigate abuse risks in new features.
Nice to Have
- Experience with fraud, abuse prevention is a plus.
- You have hands-on experience using AI in your work to drive greater impact.
Benefits
- Equity packages
- Inclusive parental leave policy that supports all parents & carers
- An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
- Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally
Compensation
Equity packages
Additional Information
- Interviews are conducted virtually.
- Candidates are encouraged to specify their pronouns and any reasonable adjustments needed during the interview process.
- AI skills are assessed during the hiring proces