Python Developer – Credit Risk
⚲ Warszawa, Mokotów
Do uzgodnienia
Wymagania
- Python
- SQL
- Git
- SAS
- Azure Databricks
- Airflow
- Bash
Opis stanowiska
Nasze wymagania:
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.
Proficiency in Git or similar version control tools.
Strong problem-solving skills and ability to work in cross-functional teams.
Mile widziane:
Experience with SAS.
Experience with quantitative model development and/or validation.
Familiarity with software engineering principles, including design patterns, testing, and CI/CD.
Experience with cloud-based tools and infrastructure (Azure Databricks preferred).
Familiarity with automation and orchestration tools (Airflow, Bash scripting).
Solid understanding of SQL and relational databases.
Understanding performance optimization for large-scale data processing.
O projekcie:
In this role, which is a part of Credit Data & Analytics team, you will help modernize credit risk technology by building Python-based solutions that support model implementation, model production, and model monitoring. You will support re-engineering and migrating the credit risk modeling team’s existing technology infrastructure from SAS to Python, with a focus on accuracy, scalability, automation, and maintainability.
This role is well suited for someone who enjoys combining strong Python engineering skills with data-driven problem solving, and who wants to work at the intersection of software development, analytics, and financial risk management.
Zakres obowiązków:
Develop and maintain Python-based components for the credit risk model lifecycle.
Re-engineering a model production engine and supporting code from SAS to Python, ensuring accuracy and consistency.
Key areas of impact will include model implementation, production and 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.
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.
Support Model Operations as needed.
Oferujemy:
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.
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.
Proficiency in Git or similar version control tools.
Strong problem-solving skills and ability to work in cross-functional teams.
Mile widziane:
Experience with SAS.
Experience with quantitative model development and/or validation.
Familiarity with software engineering principles, including design patterns, testing, and CI/CD.
Experience with cloud-based tools and infrastructure (Azure Databricks preferred).
Familiarity with automation and orchestration tools (Airflow, Bash scripting).
Solid understanding of SQL and relational databases.
Understanding performance optimization for large-scale data processing.
O projekcie:
In this role, which is a part of Credit Data & Analytics team, you will help modernize credit risk technology by building Python-based solutions that support model implementation, model production, and model monitoring. You will support re-engineering and migrating the credit risk modeling team’s existing technology infrastructure from SAS to Python, with a focus on accuracy, scalability, automation, and maintainability.
This role is well suited for someone who enjoys combining strong Python engineering skills with data-driven problem solving, and who wants to work at the intersection of software development, analytics, and financial risk management.
Zakres obowiązków:
Develop and maintain Python-based components for the credit risk model lifecycle.
Re-engineering a model production engine and supporting code from SAS to Python, ensuring accuracy and consistency.
Key areas of impact will include model implementation, production and 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.
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.
Support Model Operations as needed.
Oferujemy:
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.
🔍 Dekoder Ogłoszenia
🔴
production-grade applications
Oczekuje się, że będziesz tworzyć kod, który jest stabilny, wydajny i gotowy do wdrożenia w środowisku produkcyjnym, a nie tylko prototypy.
🔴
re-engineering and migrating the credit risk modeling team’s existing technology infrastructure from SAS to Python
Będziesz zajmować się migracją i przepisywaniem istniejącego kodu i procesów z SAS na Pythona, co może być złożonym i czasochłonnym zadaniem.
🟡
focus on accuracy, scalability, automation, and maintainability
Te obszary są kluczowe, ale ich faktyczny poziom realizacji zależy od zasobów i priorytetów zespołu, co może oznaczać nacisk na szybkie wdrożenie kosztem idealnego rozwiązania.
🟡
Strong problem-solving skills
Oczekuje się, że będziesz samodzielnie rozwiązywać złożone problemy techniczne i biznesowe, często bez gotowych rozwiązań.
🟡
support model implementation, model production, and model monitoring
Rola może obejmować szeroki zakres zadań, od wdrażania modeli po ich bieżące utrzymanie i monitorowanie, co wymaga wszechstronności.