Responsibilities
We are looking for a Trust and Safety Analyst (all genders) to support our Trust & Safety Team. You will conduct internal analysis to enhance the TeamViewer Trust & Safety platform and capabilities to reinforce TeamViewer’s industry-leading product security posture.
* Analyze large-scale data to detect patterns of abuse.
* Investigate anomalies and suspicious activities by leveraging data insights, identifying root causes, and proposing mitigation strategies.
* Develop and refine detection models to proactively identify and prevent abuse at scale.
* Monitor real-time alerts and signals to detect emerging threats and take immediate action.
* Collaborate with security, engineering, and product teams to improve detection capabilities and enhance platform protection.
* Automate workflows and reporting processes to increase efficiency in fraud detection and risk assessment.
* Prepare data-driven reports and dashboards to communicate findings, trends, and recommendations to stakeholders.
Requirements
* University degree in data science, Computer Science, Cybersecurity, or a related field (or equivalent experience).
* Strong analytical skills.
* Proficiency in SQL; knowledge of additional programming languages such as Go or Python for data processing is a plus.
* Keen eye for spotting abnormal or suspicious behavior in data.
* Ability to prioritize and handle multiple investigations simultaneously in a fast-paced environment.
* Strong communication and collaboration skills.
* Experience with machine learning models for fraud detection or anomaly detection is a plus.
* Familiarity with risk assessment methodologies, abuse detection models, or cybersecurity principles.
* Fluency in English paired with great communication skills round up your profile, German is a plus
* Experience or knowledge in at least one of the following areas:
o working with large datasets.
o with identifying fraud patterns or security risks in datasets.
o with data visualization tools.
o programming languages other than SQL for data analysis, GO or Python preferred.
o machine learning, especially for fraud or anomaly detection.
o risk assessment methodologies, abuse detection models, or cybersecurity principles.
What we offer
* Onsite Onboarding in our HQ office for an optimal start
* Interesting problems that allow you to have an impact on the safety of our users
* Close, in team collaboration with engineers to create custom tools
* Great compensation and benefits packages including company achievement bonus and stock-based options, regular salary reviews
* Premiums for the private pension plan (BAV) up to the maximum amount are topped up by TeamViewer
* Public transport friendly offices
* Option to lease an e-bike
* Special terms for local gyms
* Access to Corporate Benefits platform with many discounts
* Regular Team events and company-wide celebrations
* Open door policy, no dress code rules, frequent all Hands and Leadership Lunches
* Hybrid and Flexible work time with up to 60% home office
* Work From Abroad Program allowing up to 40 days of work outside your contracting country
* We celebrate diversity as one of our core values, join and drive one of the c-a-r-e initiatives together with us!