Fraud Insights Foundations Agent

Company Description

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, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job.

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.

Check out our locations, benefits, and more at cash.app/careers!

Job Description

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. 

Essential Responsibilities:

• 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.

Qualifications

• 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.
• Excellent analytical skills with strong understanding of common Cash App tools, like Google Sheets.
• 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. 
• CFE (Certified Fraud Examiner) and Certified Anti-Money Laundering Specialist (CAMS) highly valued.

Additional Information

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 may be modified in the future.

Zone A: USD $35.80
Zone B: USD $33.30
Zone C: USD $29.00
Zone D: USD $26.85

To find a location’s zone designation, please refer to this