Behavioral Insights Fraud Analyst - Special Risk, Mid Level

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Join to apply for the Behavioral Insights Fraud Analyst - Special Risk, Mid Level role at Jobright.ai

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Job Summary:

Block is a technology company focused on increasing access to the global economy through its various brands, including Cash App. The Behavioral Insights Risk Analyst will analyze large data sets to identify trends and inauthentic behaviors, investigate potential risks, and collaborate with various teams to enhance fraud prevention efforts.

Responsibilities:

• Become an expert on customer behaviors and authentic and inauthentic activity within Cash App's ecosystem

• Investigate and escalate incidents of potential money laundering, risk, and other illicit activities across the Cash App platform

• Master the domain of risk and fraud (e.g. money laundering, gambling, child protection) and how your domain affects Cash App

• Learn to investigate and analyze complex data sets to resolve business challenges, identify opportunities for improvement, and provide insights and solutions

• Leverage industry experience and expertise to analyze existing risks within product offerings that require a high level of attention to detail

• Partner with internal business teams to identify and confirm emerging fraud trends and potential customer impact due to risk controls, both ahead of product launches and in an ongoing capacity

• Respond promptly to internal business partners and exercise exceptional communication skills to optimize each contact

• Must be able to take initiative, plan, organize and prioritize projects with overlapping deadlines competently; work independently and help others; must be highly motivated and detail-oriented

• Foster a culture of professionalism, accountability, collaboration, speed, innovation, excellence, and a fun work environment while continuously elevating the quality and caliber of our fraud and risk controls

• Other responsibilities as assigned

Qualifications:

Required:

• 3-5+ years experience in risk and/or fraud detection in financial services or technology with an emphasis on KYC/CIP/AML/Gambling/Child Protection processes.

• Knowledge of AML transaction monitoring/suspicious activity reporting typologies and risks regarding funds transfers/peer-to-peer payments, equities, and cryptocurrency.

• Experience working with machine learning teams

• Experience working with existing and developing new taxonomies for fraud and risk related issues

• Strong understanding of relevant financial regulations (e.g., BSA, USA PATRIOT Act, AML Act)

• Superior writing and editing skills, with the ability to produce copy requiring minimal rework; technical or procedural writing experience a plus

• Experience working with teams across countries and time zones

• Ability to synthesize information and make clear, concise recommendations on a course of action

• Flexibility to adapt and able to manage multiple assignments while working independently

Preferred:

• Bachelor's Degree in Finance, Accounting, Mathematics, Economics, Computer Science, Information Management or Statistics

Company:

Block is one company built from many blocks, all united by the same purpose of economic empowerment. Founded in 1990, headquartered in Oakland, California, US, team size 10001+ employees, currently Late Stage. Block has a track record of offering H1B sponsor ships.

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Industries Software Development

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