python developer in credit risk

Enfint; Warszawa; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Performance-based incentives

Benefits cover financial wellbeing

Training and education support

Employee recognition programs

Job summary

Enfint ищет инженера-программиста для работы над моделями кредитного риска в банковской сфере. Ваша задача — разработка и поддержка компонентов на Python в жизненном цикле моделей риска, миграция кода из SAS в Python и развёртывание моделей в продакшн.

Требуется опыт 3+ лет в разработке ПО/аналитике, сильное владение Python и Git, способность работать в кросс-функциональных командах. Привилегии: знание SAS, Airflow, Bash, SQL и Azure Databricks.

Qualifications

• 3+ лет опыта в разработке ПО, аналитике или смежных ролях в финансовом секторе.
• Ст strong владение Python и создание production-grade приложений.
• Опыт работы с Git или аналогами.
• Умение работать в кросс-функциональных командах.

Responsibilities

• Разрабатывать и поддерживать Python-компоненты жизненного цикла модели риска.
• Реинекерировать и переносить модельный код из SAS в Python.
• Развертывать модели в продакшн и поддерживать мониторинг.
• Сотрудничать с командами моделирования и инфраструктуры для интеграции моделей.

Skills

Python

Git

Problem solving

Cross-functional teams

CI/CD

Education

Bachelor’s degree or higher in quantitative/technical field

Tools

SAS

Airflow

Bash scripting

SQL

Azure Databricks

Job description

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.