Credit Decision Models Developer

Description

ING Hubs Poland is hiring!

Nr ref.

• REQ-10122389

Spółka

• ING Hubs

Kategoria

• Financial Risk

Lokalizacja

• Warsaw, Poland

Data publikacji

• 30/09/2026

Poziom stanowiska

• Professional

Your responsibilities

• perform development and periodical monitoring of credit risk models like e.g. credit decision, affordability, EWS models across global ING business lines and locations,

• ensure models are conceptually sound and appropriate,

• ensure model compliance with regulations, internal policies and industry best practices,

• perform analyses and reports within credit risk management area,

• collaborate closely with cross-functional teams including model validator, risk managers, and business stakeholders and promote best practices,

• stay up-to-date with industry trends and regulatory guidelines, in particular related to advanced analytics models to be able to contribute to the continuous improvement of credit decisioning.

You'll get extra points for

• knowledge of regulatory framework for credit risk management (IRB, IFRS9, etc.) and lending process,

• experience with the Agile way of working,

• code versioning - git.

We are looking for you, if you have

• an advanced degree (PhD or Masters) in a quantitative discipline, such as Data Science, Statistics, Mathematics, Physics, Econometrics, Quantitative Finance or related field,

• knowledge of machine learning methods: supervised and unsupervised learning, classification, regression, etc.,

• experience in development of credit risk models in a financial institution or related industry,

• analytical skills with the ability to describe models, effectively articulate and document model’s structure, logic and results,

• experience writing code in Python/SAS (or other statistical programming language as a plus), data processing and advanced visualization,

• knowledge of credit risk management process, including application of credit risk models like e.g., credit decision scorecards, early warning systems, collection systems, IRB, IFRS9 etc.,

• English verbal and writing proficiency.