The Role
At Atlanticus, we’re reimagining credit to help consumers build better financial futures. As a Credit Risk & Strategy Analyst on our Credit Card Risk Strategy team, you’ll use data, analytics, and strategic thinking to solve meaningful business problems that span credit risk, marketing performance, and financial planning/performance.
You’ll work alongside experienced analysts and business leaders to uncover insights, develop recommendations, and influence decisions that directly shape our growth. Atlanticus’s entrepreneurial environment means you’ll have broad exposure, real ownership, and the opportunity to see your work make a tangible impact - something that’s rare at larger institutions.
What You’ll Do
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Analyze business performance: Use SQL and other analytical tools to extract, clean, and interpret data to identify trends and opportunities across credit, marketing, and finance.
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Develop actionable insights: Translate data into clear recommendations that improve acquisition, underwriting, and portfolio management strategies.
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Structure and execute test-and-learn initiatives: Evaluate credit, marketing, and customer strategies - translating experimental outcomes into scalable business improvements.
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Support marketing and customer growth: Evaluate campaign performance and customer behaviors to inform targeting, offers, and engagement tactics.
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Contribute to financial and credit forecasting: Partner with Finance and Credit teams to model portfolio outcomes and track P&L drivers.
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Collaborate across functions: Work closely with Marketing, Product, Operations, and Finance to deliver analytical solutions and align on priorities.
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Tell the story: Communicate findings through presentations and dashboards that make data accessible to decision-makers.
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Grow as a strategic thinker: Learn to frame business problems, design experiments, and connect data-driven insights to real-world business strategy.
You’re a great fit if you have:
- Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Economics, Finance, Statistics, Engineering, or Data Science).
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1-3 years of experience in analytics, business strategy, or consulting (internships or rotational programs welcome).
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Proficiency in SQL and strong Excel skills; experience with Python, R, or similar tools is a plus.
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Demonstrated ability to solve problems using data and structured thinking.
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Strong communication skills and intellectual curiosity.
Preferred:
- Experience in credit cards, consumer lending, or data-driven marketing.
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Ability to understand consumer credit card P&L and profitability drivers.
- Exposure to experimentation (A/B testing) or performance measurement frameworks.
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Familiarity with business intelligence or visualization tools such as Tableau or Power BI.
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Comfort working in fast-paced, evolving environments where adaptability matters.