The team is dedicated to protecting the internet by disrupting the economics of cybercrime. Our team builds automated detection techniques that both mitigate against known botnet operations, and are adaptable enough to find new fraud quickly and effectively across a variety of environments and threat types.
We're looking for an Analyst to join our team and manage the full-cycle of fraud fighting, from the early stages of exploratory research to the development of statistical detection techniques. This role is at the intersection of data, technology, and business as we aspire to deeply understand how actors perpetrate schemes and develop a powerful product to delight our customers.
CustomerThe company develops and implements technologies to protect organizations and users from cyber threats such as bot attacks, data breaches, phishing, digital fraud, and more. This includes a range of activities and offerings such as Threat Detection and Prevention, Incident Response, Security Consulting, etc.
ProjectWe are working with a highly dynamic AdTech ecosystem with a goal of protecting the world from malvertising. The solution is part of a portfolio that includes a variety of software products.
Being our team member means being open-minded, friendly, supportive, ready to accept challenges, take responsibility, and never stop learning. We need to be one step ahead of attackers, which means being smarter, quicker, and looking beyond the surface.
We are passionate about the people we hire to protect the internet. As the central unit driving product strategy and execution, we work closely with business, engineering, and research to coordinate all product efforts.
ResponsibilitiesIdentify impactful detection leads that increase velocity from the time of threat identification to implementation of mitigation in our productsDeploy stop-gap defenses for emerging threats through the development of analyses, models, algorithms, and dashboardsDeploy long-term defenses based on statistical analysis of supply chain data and fraud actor behaviorDeliver new customer-facing features through collaboration with Product and Engineering teamsBuild complex queries and reports to analyze historical data, including the use of techniques such as: sub-queries, temp tables, complex joins, and variablesTriage customer and internal inquiries about fraud efficacy by acting as the first line of analysisMaintain product excellence and efficiency through improvements to existing techniques and tooling that reduce the time to understand a new detection lead and process itCreate detailed documentation of models, algorithms, and analyses to build visibility and audibility of work
Qualifications3+ years of experience as a data analystStrong SQL programming skillsKnowledge of PythonExperience working with multi-TB to PB data sets in cloud databasesExperience improving processes and implementing tooling to accelerate analysisUpper-Intermediate level of spoken and written English
Would be a plusExperience in the AdTech domain
Personal ProfileStrong sense of ownership that drives you to find ways to do things better, faster, and leanerResponsibility for the quality and accuracy of your workAbility to find new and innovative ways to tackle complex problems through meticulous experimentation and application of emerging technologiesOpenness, transparency, and work in tight collaboration with other team members on data projects and cross-departmentallyExcellent communication skills and a willingness to support your team
