Fraud Insights Foundations Agent

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

As part of the Behavioral Insights team, you will work primarily with Risk Machine Learning and Behavioral Insights Analysts to assist with the identification of emerging risk vectors, customer behavior and macro pattern recognition. You will review risk issues and actions centered around Cash App transactions with a primary focus on datasets involving the full spectrum of Cash App customers. This work will be delivered to you primarily in the form of Risk ML audits and the Bad Actor Prevalence workflow. You will be empowered to assist our internal partners with their escalations, by leveraging strong investigation and organizational skills.

You Will

• Conduct time-sensitive and comprehensive audits on pre-determined dataset with a heavy influence on learning about common fraud vectors and annotating them appropriately.
• The above audits are comprehensive across multiple areas of focus (Identity & Limits, Disputes, Access, Controls, ATO, Scams, Banking and more) and requires broad based knowledge across these areas to be successful in the role
• Recognize aberrant behavior and work with Taxonomy/Risk ML to describe signals necessary for programmatic remediation
• Demonstrate strong attention to detail to ensure each record is clearly and accurately documented for future reference.
• Understand customer behavior and usage through observational and technical analysis.
• Demonstrates ability to identify problems related to the workflows; for example, can intuitively understand the purpose of a given review and recognize when the content does not meet the intended need.
• Foster a culture of accountability, collaboration, speed, innovation, excellence and a fun work environment while continuously elevating the quality and caliber of our controls.
• Review suspicious documentation, information, and behaviors to determine if there is high risk,fraudulent, or inauthentic activity present.
• Review and identify changes in device usage, determine if emulated devices are used and review IP addresses for significant changes, time zone mismatches, suspicious ASNs and if international time zones appear through the use of both internal and vendor supplied tools.
• Surface issues and provide feedback on current processes to internal stakeholders, such as the larger BIT team and with the opportunity to expand your communication reach outwards to impact adjacent teams like Health ML.
• Balance efficiency and quality of work in order to meet daily and weekly goals.
  
  
  You Have
• 3+ years risk related role required, such as prior transaction surveillance and investigations experience in Financial Crimes, Anti-Money Laundering, and/or anti-fraud experience (education/certifications will be considered). 
• Excellent verbal and written communication skills to describe your findings in precise terms
• Strong organizational, problem-solving, time-management, and self-starter skills required.
• Flexibility to adapt and able to manage multiple assignments while working independently.
• Flexible Monday-Friday work schedule with 6-9 am start time options in their respective time zone.
• Excellent analytical skills with strong understanding of common Cash App tools, like Google Sheets.
• CFE (Certified Fraud Examiner) and Certified Anti-Money Laundering Specialist (CAMS) highly valued.

Technologies We Use and Teach

• Google Suite
• Assembled
• UKG/Ultipro
• Labelbox
• Regulator
• Toolbox
• Disputron
• CF1
• Snowflakeg

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.

Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.


Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on the candidate's work location and may be modified in the future. 

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. 

Zone A: USD $41.30
Zone B: USD $38.37
Zone C: USD $35.10
Zone D: USD $30.96