What are the responsibilities and job description for the Business Intelligence Developer position at Santander Holdings USA Inc?
Business Intelligence Developer
Santander Holdings USA Inc is seeking a talented Business Intelligence Developer to join its team. As an Associate in Data Science focusing on Credit and Lending Modeling, you will design and implement advanced predictive models that enhance lending decisions while minimizing risk.
About the Role
You will be responsible for building analytical data pipelines, applying machine learning methodologies, and ensuring model compliance and performance to support strategic business growth. You will also collaborate with cross-functional teams to communicate insights and findings effectively, contributing to overall financial stability.
Requirements
To be successful in this role, you should have:
Santander Holdings USA Inc is seeking a talented Business Intelligence Developer to join its team. As an Associate in Data Science focusing on Credit and Lending Modeling, you will design and implement advanced predictive models that enhance lending decisions while minimizing risk.
About the Role
You will be responsible for building analytical data pipelines, applying machine learning methodologies, and ensuring model compliance and performance to support strategic business growth. You will also collaborate with cross-functional teams to communicate insights and findings effectively, contributing to overall financial stability.
- Design and implement advanced predictive models that enhance lending decisions while minimizing risk.
- Build analytical data pipelines and apply machine learning methodologies.
- Evaluate and refine models based on performance metrics.
- Collaborate with cross-functional teams to communicate insights and findings effectively.
Requirements
To be successful in this role, you should have:
- Master's or research degree in a quantitative discipline.
- 3 years' experience in a data science or quantitative role working hands-on with code to build predictive models and advanced analytics applied to large-scale data-intensive projects.
- Strong knowledge of credit risk concepts, including PD, LGD, EAD, Stress testing and scorecard development.
- Ability to work effectively in a fast-paced environment and adapt to changing priorities.
