Credit Risk Analyst
About The Position
Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Sr. Analyst, Analytics is primarily responsible for analyzing portfolio exposures, building data-driven insights, and automating credit risk reporting processes for Loss Forecasting covering all US business entities.
Requirements
- Bachelor’s degree in Finance, Economics, Data Science, Statistics, or a related field – Required.
- 3+ Years analyzing credit risk or financial portfolio data within banking or financial services environments – Required.
- Advanced proficiency in Python (including Pandas and NumPy), SQL, and data visualization tools such as Power BI or Tableau to analyze, manage, and present structured credit risk data – Required.
- Strong understanding of credit risk concepts, financial statements, portfolio risk metrics, and predictive modeling techniques, including risk indicator development – Required.
- Experience working with large-scale financial datasets within highly regulated environments, including familiarity with model validation, risk governance, and regulatory reporting frameworks – Preferred.
- Strong analytical thinking with the ability to interpret complex datasets, identify meaningful trends, and translate insights into actionable recommendations.
- Clear communication and collaboration skills, with high attention to detail and a demonstrated commitment to data accuracy and integrity.
Nice To Haves
- Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.
Responsibilities
- Extract, transform, and analyze credit risk and portfolio data.
- Develop automated reporting and analytical tools using Python.
- Monitor key risk indicators.
- Collaborate with risk owners to improve controls and reporting workflows.
- Present insights and recommendations to stakeholders.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
