Technical Risk & Payments Fraud Analyst

August 23

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Description

• Monitor, detect, and analyze suspicious transactions and activities across payment platforms. • Respond to and investigate alerts, ensuring swift resolution and prevention of further risks. • Develop and maintain fraud detection models and rules to identify potential fraud patterns. • SQL query development; Utilize SQL to extract, analyze, and interpret large datasets for fraud patterns, trends, and anomalies. • Prepare detailed reports and dashboards for senior management, summarizing key findings and actionable insights. • Support ad hoc data analysis requests related to fraud investigations and risk assessments. • Conduct risk assessments on new payment products, services, and processes. • Lead complex fraud investigations from end-to-end, including gathering evidence, conducting interviews, and documenting findings. • Work closely with law enforcement, legal teams, and other stakeholders when required. • Ensure investigations are conducted in accordance with internal policies, legal requirements, and industry standards. • Partner with cross-functional teams including IT, Compliance, Customer Service, and Product Management to enhance fraud detection and prevention capabilities. • Educate and train internal teams on emerging fraud risks and prevention techniques. • Communicate and collaborate effectively with cross-functional teams to resolve risk and fraud related issues.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Finance, or a related field. • Minimum of 3-5 years of experience in payments, fraud detection, or risk operations roles. • Proven experience in conducting SQL-based data analysis and investigations. • Strong understanding of payment processing systems, fraud detection tools, and risk management frameworks. • Experience working with 2 or more payments platforms is a plus; experience working with a subscription model is a plus. • Proficiency in SQL query development for data extraction, manipulation, and analysis. • Experience with fraud detection software, analytics tools, and data visualization platforms such as Looker. • Familiarity with scripting Python, Spark, JS, and ability to read API calls and responses. • Strong analytical and problem-solving skills with a keen eye for detail. • Excellent communication and interpersonal skills, with the ability to present complex information clearly. • Ability to work independently and collaboratively in a fast-paced environment. • Strong ethical standards and a high degree of integrity.