Description Credit One Bank Risk Management Training Program Program Summary The Risk Management Training Program (RMTP) is a one-year rotational development program designed to launch the careers of high-potential recent graduates in the rapidly evolving world of financial technology, analytics, and risk management at Credit One Bank. Through hands-on experience, structured development, and mentorship from industry leaders, RMTP Associates gain exposure to the critical functions that drive strategic decision-making and business performance. Participants build technical expertise in areas such as Data Strategy, Risk Analytics, Profit & Loss (P&L) Analysis, Modeling, and Decision Science, while also developing the leadership, communication, and business acumen needed to become future data-driven leaders. During the program, associates rotate through multiple teams within the Risk organization, gaining broad exposure to diverse business functions and technologies. Rotational opportunities may include Fraud Strategy, Risk Modeling, Acquisitions Risk, Collections Risk, Risk Analytics, and other high-impact areas that influence customer experience, portfolio performance, and enterprise growth. By the end of the program, associates will have developed a strong foundation in financial services, advanced analytics, and risk management while building a professional network across the organization. RMTP provides a unique opportunity to accelerate your career, tackle meaningful business challenges, and contribute to innovative solutions that help shape the future of Credit One Bank.

Position Requirements:

Bachelor's degree in Economics, Information Systems, Statistics, Finance, Mathematics, Data Analytics, or a related quantitative field, completed by July 2027 . Recent graduate who has earned a bachelor's degree within one year of the program start date ( July 2026 through July 2027 ). Minimum cumulative 3.0 GPA . Proficiency in SQL for data extraction, querying, analysis, and working with large datasets. Experience using Python for data analysis, data manipulation, and exploratory analytics through coursework, academic projects, internships, or personal projects. Advanced proficiency in Microsoft Excel, including complex formulas, PivotTables, data validation, reporting, data analysis, and visualization techniques for interpreting large datasets. Strong analytical, problem-solving, and quantitative reasoning skills with a demonstrated ability to translate data into actionable insights. Ability to quickly learn new analytical tools, technologies, and business concepts in a fast-paced, collaborative environment. Strong written and verbal communication skills, with the ability to effectively present findings to both technical and non-technical audiences. Must be able and willing to work onsite in Las Vegas, Nevada .

Preferred:

Work experience in the consumer credit card industry. Work experience in financial services. Experience utilizing SAS programming or Snowflake.

Program Dates:

July 2027 - July 2028 Goals of the

Program:

Cultivate Data-Driven Risk Professionals:

Develop associates' analytical and technical skills by providing hands-on experience in data strategy and analytics, training them to become data-driven leaders who can identify and manage risk effectively.

Bridge Theory and Practice:

Challenge associates to apply their quantitative and technical knowledge from their undergraduate studies to real-world fintech risk scenarios, reinforcing their academic learning with practical application.

Develop Core Professional Competencies:

Equip associates with crucial soft skills, such as communication, collaboration, and adaptability, that are essential for effectively communicating complex insights to stakeholders.

Provide Mentorship and Networking Opportunities:

Connect associates with experienced professionals and senior leadership, fostering professional growth and building a strong network within the company.