Fraud Strategy - Risk Analyst II - P2

Description Position Summary As a member of the Acquisition Fraud Strategy team within the Risk Management department, the Risk Analyst II will develop, implement, and evaluate fraud risk strategies that reduce losses, improve profitability, and increase efficiency, while maintaining a superior customer experience. An individual contributor role, you will work alongside peers to detect and prevent fraud loss associated with high-risk transactional activity. Summary Of Essential Job Functions Develop, implement and evaluate fraud risk strategies Analyze and present data in easy-to-understand visualizations and recommendations appropriate to the type of activity under review Applies industry best practices and provides standards for solution, execution and delivery approach Utilizes analytical and quantitative skills by using data and metrics to test theories, confirm assumptions, generate insights/recommendations and measure success Ability to manage multiple projects under tight deadlines Provides analytics and insights to organizational leaders in response to their business questions using data, tools, technologies and discovery solutions Create and maintain strategy and procedural documentation Utilize business acumen to transfer knowledge of emerging fraud trends to data analysis and subsequent real-time transactional rule creation Employ strong analytical thinking and coding skills (Python, R, SQL, SAS Enterprise Guide, or similar data analysis tool) to investigate transaction details and build loss mitigating strategies Interact and collaborate with various cross-functional business partners such as Operations, Compliance, Modeling, and Technology teams Monitor the performance of fraud risk strategies to ensure an optimal balance between risk and customer experience Position Requirements Bachelor’s degree in Economics, Decision Sciences, Mathematics, Statistics, Computer Science or a related quantitative field. 2-4 years of work experience in a similar role in a professional corporate environment. Ability to transform big data into recommended actions to prevent fraud loss. Proficiency in Python, R, SQL, SAS Enterprise Guide, SAS Enterprise Miner, or a similar programming language is required. Strong critical thinking, problem-solving, analytical and quantitative skills. Ability to drive and influence business decisions based on metrics and data. Demonstrated ability to simplify complex topics for broad audiences. Knowledge of fraud and credit risk analysis, along with an understanding of profitability drivers, financial analysis and credit reporting. Experience in identifying and preventing fraud risk and/or experience in developing and/or using fraud risk models, algorithms or scorecards. Works well within a collaborative team environment. Excellent verbal and written communications skills. Collaborative team player with the ability to effectively manage competing priorities. Preferred Master’s Degree in related field Experience with creating strategies within a fraud decision engine Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees. #J-18808-Ljbffr Credit One Bank