5 дней назад
Credit Decision Models Developer
9 600 - 18 000PLN
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Credit Decision Models Developer (Credit Risk Modeling): Developing and monitoring credit decision, affordability, and early warning models across ING business lines and locations with an accent on machine learning, regulatory compliance, and model governance. Focus on designing conceptually sound statistical models, documenting model logic and results, and collaborating with validators, risk managers, and business stakeholders.
Location: Warsaw, Poland
Salary: 9,600–18,000 PLN gross per month
Company
is a global bank group with a Poland-based hub support credit risk modell and other financial services operations.
What you will do
- Develop and periodically monitor credit risk models, includ credit decision, affordability, and early warn system models.
- Assess model conceptual soundness and suitability across business lines and locations.
- Ensure compliance with regulations, internal policies, and industry best practices.
- Prepare analyses and reports within credit risk management.
- Collaborate with model validators, risk managers, business stakeholders, and cross-functional teams.
- Contribute to the continuous improvement of credit decision through advanced analytics and awareness of regulatory developments.
Requirements
- Advanced degree, such as a PhD or Master’s, in data science, statistics, mathematics, physics, econometrics, quantitative finance, or a related quantitative discipline.
- Knowledge of supervised and unsupervised machine learn, classification, regression, and related methods.
- Experience develop credit risk models in a financial institution or related industry.
- Strong analytical, model documentation, data process, and advanced visualization skills.
- Experience cod in Python or SAS, or another statistical programm language.
- Professional English proficiency is required.
Nice to have
- Knowledge of IRB, IFRS9, credit decision scorecards, early warn systems, collection systems, and lend processes.
- Experience with Agile ways of work, includ Scrum or Kanban.
- Knowledge of Git and regulatory frameworks for credit risk management.
Culture & Benefits
- Agile teams use flexible frameworks such as Scrum and Kanban.
- Squads operate with autonomy, shared responsibility, and team cooperation.
- The role offers exposure to new developments in credit risk management and advanced analytics.
- promotes an inclusive work environment with opportunities for professional development and impact.
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