
Credit Risk Modeling Python Developer
U.S.Bank | Elavon
Hybrid
Status
Hexjobs Insights
Role: Credit Risk Modeling Python Developer. Responsibilities include Python development, model implementation, and collaboration with teams. Requires 3+ years in software/dev and knowledge of SQL. Benefits include salary transparency and development opportunities.
Schlüsselwörter
Python
SQL
data analytics
credit risk
production-grade applications
cloud tools
Git
performance optimization
Vorteile
- Clearly defined salary ranges aligned with industry benchmarks.
- Performance-based incentives based on transparent criteria.
- Inclusive equitable benefits focusing on financial wellbeing and health.
- Continuous development opportunities including training and education support.
- Employee recognition programs celebrating achievements.
Technologies we use
About the project
Your responsibilities
- Develop and maintain Python-based components for the credit risk model lifecycle.
- Re-engineering a model production engine from SAS to Python, ensuring accuracy and consistency.
- Key areas of impact will include model implementation, production and monitoring as well as dashboards and reporting.
- Collaborate with quantitative model developers to implement model logic and integrate it into production systems.
- Optimize code for efficiency, scalability, and compliance with internal standards.
- Design and implement automated workflows for data processing, testing, and deployment.
- Ensure robust version control, documentation, and adherence to software development best practices.
- Work closely with infrastructure and risk teams to support smooth implementation and delivery.
Our requirements
- 3+ years of experience in software development, data analytics, or related roles, preferably in financial services, banking, and/or credit risk.
- Bachelor’s Degree or higher in a quantitative/technical field such as statistics, mathematics, computer science, data science, or engineering.
- Strong proficiency in Python and experience building production-grade applications.
- Solid understanding of SQL and relational databases.
- Strong problem-solving skills and ability to work in cross-functional teams.
Optional
- Experience with SAS.
- Experience with quantitative model development and/or validation.
- Familiarity with software engineering principles, including design patterns, testing, CI/CD, and version control (Git).
- Experience with cloud-based tools and infrastructure (Azure or AWS).
- Familiarity with automation and orchestration tools (Airflow, Bash scripting).
- Understanding performance optimization for large-scale data processing.
What we offer
- Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.
- Performance-based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance.
- Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness).
- Continuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria.
- Employee recognition programs that celebrate achievements and milestones for all.
Benefits
Aufrufe: 2
| Veröffentlicht | vor 2 Tagen |
| Läuft ab | in etwa 1 Monat |
| Arbeitsmodus | Hybrid |
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