The Research team at HUMAN 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, but also 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 to 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 are perpetrating schemes and develop a powerful product to delight our customers.

What you'll do:

• Identify impactful detection leads that increase velocity from time of threat identification to implementation of mitigation in HUMAN products
• Deploy stop-gap defenses for emerging threats through the development of analyses, models, algorithms, and dashboards
• Deploy long-term defenses based on statistical analysis of supply chain data and fraud actor behavior
• Deliver new customer-facing features through collaboration with Product and Engineering teams team
• Build complex queries and reports to analyze historical data, including the use of techniques such as: sub-queries, temp tables, complex joins, variables
• Triage customer and internal inquiries about fraud efficacy by acting as first line of analysis
• Maintain product excellence and efficiency through improvements to existing techniques and tooling that reduce the time to understand a new detection lead and process it
• Build detailed documentation of models, algorithms, and analyses to build visibility and auditability of work

Who you are:

• You have a good sense of ownership which drives you to find ways to do things better, faster, and leaner; you hold yourself accountable for the quality and accuracy of your work
• You look to find new and innovative ways to tackle complex problems through meticulous experimentation and application of emerging technologies
• You are open and transparent and work in tight collaboration with other team members on data projects and cross-departmentally
• You are communicative and go out of your way to support your team
• Proficiency in SQL
• Experience working with multi TB to PB data sets in cloud databases ideal
• Experience improving processes and implementing tooling to accelerate analysis
• Python experience or exposure preferred
• AdTech experience strongly preferred

The base pay range for this position is $100,000- $135,000 which can include additional on-target commission pay/bonus. The base pay offered may vary depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered.