Credit One Bank

Financial Analyst I (Profitability Analytics)

Credit One Bank
US Las Vegas, NV, US
Onsite 2026-06-21
Typical pay for this role in Las Vegas
$68K - $122K
Low
$68K
Median
$89K
High
$122K
Official salary benchmark · BLS OEWS 2025

Job description

**Description** ### **Position Summary** The Financial Analyst will be responsible for managing acquisition program in terms of risk performance and overall profitability. The Financial Analyst perform will be performing deep dive analysis at the acquisition channel level and ad hoc analyses as needed. The Financial Analyst will identify opportunities to increase the acquisitions volume without negatively impacting the program profitability and will also develop and manage delinquency and profitability forecasting models. ### **Essential Job Functions** * Analyze new account acquisition historical P\&L performance to identify revenue opportunities and risk factors such as roll rates and delinquent buckets at an early stage. * Communicates trends and findings to team members, upper management, and various stakeholders via department meetings with PowerPoint presentations on a monthly and quarterly basis. * Forecast future performance of various acquisition channels utilizing Excel\-based and/or SAS\-based P\&L forecast models while assessing variances between forecasted vs. actual results. * Optimize strategies to increase the company's bottom line including testing of various fees, credit lines and products. * Develop ad\-hoc historical reports to assist with financial analysis as needed. ### **Position Requirements** * Bachelor's degree in Finance, Economics, Mathematics, Statistics or related field. (advanced degree preferred) * 1\+ years' work experience in Finance, Risk, Analytics, or similar role in a professional corporate environment * 1\+ years' advanced use of: Microsoft Excel, Microsoft PowerPoint, SAS or SQL * Excellent analytical, problem\-solving, and decision\-making skills * Ability to prioritize projects, work independently, deal with ambiguity, handle tight deadlines, and achieve effective results in a fast\-paced, dynamic environment * Experience analyzing large data sets, developing recommendations, and simplifying for presentation

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