Machine Learning Credit Model Developer (Fintech)

TL;DR

Machine Learning Credit Model Developer (Fintech): Developing and monitoring advanced non-regulatory credit risk models for global business lines with an accent on machine learning techniques and credit decisioning. Focus on ensuring model compliance, performance, and collaboration with cross-functional teams to support sustainable business growth.

Location: Warszawa (Pańska 97)

Salary: 9600–18 000 PLN gross

Company

hirify.global is a global expert center providing high-quality services and innovative solutions for the ING Group.

What you will do

• Develop and periodically monitor credit decision models across global business lines.
• Ensure models are conceptually sound, compliant with regulations, and aligned with industry best practices.
• Collaborate with model validators, risk managers, and business stakeholders.
• Document model structure, logic, and results effectively.
• Stay updated on industry trends and regulatory guidelines related to advanced analytics.

Requirements

• Advanced degree (PhD or Masters) in a quantitative discipline (Computer Science, Data Science, Statistics, Mathematics, Physics, Econometrics, or Quantitative Finance).
• Excellent knowledge of classic machine learning methods (supervised/unsupervised learning, regression, classification).
• Experience in validation or development of credit risk models in a financial institution.
• Proficiency in Python for data processing and advanced visualization.
• Knowledge of credit risk management processes (e.g., scorecards, early warning systems, IRB, IFRS9).
• English verbal and writing proficiency required.

Nice to have

• Knowledge of regulatory frameworks for credit risk management.
• Experience with Agile methodology.
• Proficiency in code versioning with Git.
• Experience with R or SAS.

Culture & Benefits

• Opportunity to gain visibility across global ING business lines.
• Access to knowledge-sharing opportunities and professional development.
• Work in a fast-growing international team of experts.
• Focus on sustainable credit risk performance and innovative problem-solving.