Bumble has changed the way people date, create meaningful relationships & network with women making the first move. Bumble is looking for a Threat Detection and Analysis Engineer to join our team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable. This means you will be analyzing data to prevent unintended uses for products that provide a safe and engaging experience for our users, and improve the way Bumble operates. As a member of the Bumble Trust Engineering team, you are the first line of detection of bad actors using Bumble in unwanted and unexpected ways. Protecting customers from threats and scams becomes an ever more important problem as Bumble’s customer base and suite of products grow. The Trust Engineering team develops and uses tooling to tease out high-quality signals from all the noise to detect unwanted behaviors. Your work directly impacts customers. What you will be doing:
Analyse data across Bumble Inc products and implement logic for proactive discovery and prevention of threat actors and unwanted activity. Develop new analytics and dashboards to visualize and surface data for analysis, reporting, and planning. Develop and execute code to modify data tables, automate database queries, surface and analyze logs, perform password resets, and sanction users. Investigate complex instances of abuse cases, working cross-functionally from initiation of a case through to providing a solution. Surface unwanted activity in the customer space, both proactively and reactively, using relevant log sources. Utilize existing data and tools to hunt for threats in our environment while advocating for changes to our ecosystem to continuously update tooling. Collaborate within the team to surface requirements for trust capabilities. Work with Bumble Inc products to understand functionality and where bad actors could take advantage, to support improved detective tools. Expose and present measurable data to internal and external partners to improve Bumble’s ability to detect future threats. What you should have:
Proficiency working with data technologies that power analytics (e.g. MySQL, Kafka, Presto, Pinot, or similar technologies). Practical experience mining and cleaning large, unstructured datasets, then extracting meaningful and actionable insights, presenting results to an audience of various backgrounds. Experience with a high-level programming language such as Python or Go. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; equivalent training, fellowship, or work experience is required. Experience understanding bad actors, threat intelligence, and abuse; involvement in remediating abuse or security-related incidents is a plus. Experience with Linux, Kibana, and engineering fundamentals at scale such as AWS, Chef, and Terraform is a plus. Experience with behavioral analytics preferably in a trust, security, or privacy environment, with a focus on customer-facing environments is a plus.
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