What you will do
The fraud research team is a hybrid team of cyber research and data science, both working together in researching, detecting and preventing all schemes of online ad fraud like fraud botnets, ad injectors, spoofed traffic and other schemes. As a cyber researcher you will lead the research and detection of new ad fraud mechanisms across web, mobile apps and CTVs. Work with the team to build the systems to detect and block them at huge scales. DV is a leader in the Ad Fraud Detection space, as a researcher on the team you will be a world expert in the field.

What the company is doing
DoubleVerify is a big data analytics company, gone public in April 2021 (NYSE: DV).

We track and analyze tens of billions of ads every day for the biggest brands in the world of  like Nike, AT&T, Disney, Vodafone, and most of the Fortune 500 companies, if you’ve seen an ad online via Web, Mobile, or CTV device then there are big chances that it was measured by us.

We operate at a massive scale, we handle over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) to help our clients make decisions before, during and after the ad is served. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle.

We are global, we have R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego, we work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.

 

Responsibilities

Analyze and reverse engineer mobile and web apps that are suspected of ad fraud Develop and improve our mobile and CTV labs with focus on automatic ad fraud detection Become an expert on ad fraud bots Stay on top of new web, mobile and CTV technologies and assess their impact on our tech

 

Requirements

At least 2 years of penetration testing or reverse engineering of web and mobile apps Good understanding of Android, iOS, web technologies and networking protocols  Solid knowledge of Python, JavaScript and Java (for Android) Previous experience with dynamic analysis (Frida - hooking framework) to detect malicious behavior is a strong advantage  Data analysis skills (mostly SQL) is a strong advantage Previous experience with online advertising technologies is an advantage Bsc in Computer Science (or equivalent) is an advantage