Cash App
Fraud Behavioral Insights, Customer Identity Analyst
Cash App, Chicago, Illinois, United States, 60290
Overview
Fraud Behavioral Insights, Customer Identity Analyst at Cash App. The role focuses on analyzing large structured and unstructured data sets to identify trends, anomalies and inauthentic behaviors across Cash App accounts and products. The position collaborates with Data Science, Machine Learning Modeling, Engineering, Product, Business Operations, Risk Operations, Compliance, and other teams to drive innovation and influence the fraud roadmap, programs, and processes. The ideal candidate possesses exceptional analytical and communication skills, enjoys ambiguous problem solving, and is self-motivated in a fast-paced environment. Responsibilities
Become an expert on customer behaviors and authentic and inauthentic activity within Cash App’s ecosystem Master the Identity domain of risk-adjacent behaviors 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 risk controls Other responsibilities as assigned Qualifications
3+ years experience in risk and/or fraud detection in financial services or technology with an emphasis on KYC/CIP/onboarding processes Experience working with machine learning teams 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 Even Better
Bachelor's Degree in Finance, Accounting, Mathematics, Economics, Computer Science, Information Management or Statistics CFE, ACAMS, or similar accreditation SQL experience Pay and Location
Block takes a market-based approach to pay; U.S. locations are categorized into zones based on a cost of labor index. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Zone ranges are provided below, and may be modified in the future. Zone A: $97,000—$145,400 USD Zone B: $90,200—$135,200 USD Zone C: $82,400—$123,600 USD Zone D: $72,700—$109,100 USD Hiring and Benefits
Use of AI in Our Hiring Process: We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. We provide reasonable accommodations to disabled applicants throughout the recruitment process. Privacy and contact questions: privacy@block.xyz. All benefits are designed to empower you to do your best work while building the life you want, including remote work, medical insurance, flexible time off, retirement savings plans, and family planning options. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class; applicants with criminal histories are considered on an individualized basis.
#J-18808-Ljbffr
Fraud Behavioral Insights, Customer Identity Analyst at Cash App. The role focuses on analyzing large structured and unstructured data sets to identify trends, anomalies and inauthentic behaviors across Cash App accounts and products. The position collaborates with Data Science, Machine Learning Modeling, Engineering, Product, Business Operations, Risk Operations, Compliance, and other teams to drive innovation and influence the fraud roadmap, programs, and processes. The ideal candidate possesses exceptional analytical and communication skills, enjoys ambiguous problem solving, and is self-motivated in a fast-paced environment. Responsibilities
Become an expert on customer behaviors and authentic and inauthentic activity within Cash App’s ecosystem Master the Identity domain of risk-adjacent behaviors 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 risk controls Other responsibilities as assigned Qualifications
3+ years experience in risk and/or fraud detection in financial services or technology with an emphasis on KYC/CIP/onboarding processes Experience working with machine learning teams 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 Even Better
Bachelor's Degree in Finance, Accounting, Mathematics, Economics, Computer Science, Information Management or Statistics CFE, ACAMS, or similar accreditation SQL experience Pay and Location
Block takes a market-based approach to pay; U.S. locations are categorized into zones based on a cost of labor index. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Zone ranges are provided below, and may be modified in the future. Zone A: $97,000—$145,400 USD Zone B: $90,200—$135,200 USD Zone C: $82,400—$123,600 USD Zone D: $72,700—$109,100 USD Hiring and Benefits
Use of AI in Our Hiring Process: We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. We provide reasonable accommodations to disabled applicants throughout the recruitment process. Privacy and contact questions: privacy@block.xyz. All benefits are designed to empower you to do your best work while building the life you want, including remote work, medical insurance, flexible time off, retirement savings plans, and family planning options. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class; applicants with criminal histories are considered on an individualized basis.
#J-18808-Ljbffr