3 сен

python developer in credit risk

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вакансия зп не указана
в среднем 197 048 ₽
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описание

U.S. Bank helps customers and businesses make better financial decisions and supports communities in achieving sustainable growth. Its wholly owned subsidiary, Elavon, builds payment platforms and ecosystems serving more than 1.5 million customers worldwide, offering transaction processing, customer service, innovation, and tailored payment solutions.

задачи

  • Develop and maintain Python-based components for the credit risk model lifecycle;
  • Re-engineer a model production engine and supporting code from SAS to Python while ensuring accuracy and consistency;
  • Implement models in production and support model monitoring;
  • 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;
  • Maintain robust version control and documentation and follow software development best practices;
  • Work with infrastructure and risk teams to support smooth implementation and delivery;
  • Support Model Operations as needed.

требования

  • 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 statistics, mathematics, computer science, data science, engineering, or another quantitative/technical field;
  • Strong proficiency in Python and experience building production-grade applications;
  • Proficiency with Git or similar version control tools;
  • Strong problem-solving skills and ability to work in cross-functional teams;
  • Nice to have: Experience with SAS, quantitative model development and/or validation, software engineering principles including design patterns, testing, and CI/CD, cloud-based tools and infrastructure with Azure Databricks preferred, Airflow, Bash scripting, SQL, relational databases, performance optimization for large-scale data processing.

условия

  • Performance-based incentives are available for eligible employees;
  • Benefits cover financial wellbeing, health and wellness;
  • Training, education support, and career progression opportunities are available;
  • Employee recognition programs are provided;
  • Salary ranges and further compensation details will be provided upon application.

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