Machine Learning Credit Model Developer

Details

ING Hubs Poland is hiring!

The expected salary for this position: 9600 - 18 000 PLN gross.

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

Role overview

We are looking for a candidate with an advanced quantitative background to develop and monitor non-regulatory credit risk models using machine learning techniques. The role involves collaboration with global teams, ensuring model soundness, regulatory and internal policy compliance, and continuous improvement of credit decision models.

Requirements

• Advanced degree (PhD or Masters) in a quantitative discipline (Computer Science, Data Science, Statistics, Mathematics, Physics, Econometrics, Quantitative Finance or related field).
• Excellent knowledge of classic machine learning methods: supervised and unsupervised learning, classification, regression, etc.
• Experience in validation or development of credit risk models in a financial institution or related industry.
• Analytical skills with the ability to describe models, and effectively articulate and document model structure, logic and results.
• Experience writing code in Python (R, 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 such as credit decision scorecards, early warning systems, collection systems, IRB, IFRS9, etc.
• English verbal and written proficiency.

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.
• Experience with code versioning (git).

Responsibilities

• Perform development and periodical monitoring of credit decision 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.
• Collaborate closely with cross-functional teams including model validators, risk managers, and business stakeholders and promote best practices.
• Stay up-to-date with industry trends and regulatory guidelines, particularly related to advanced analytics models, to contribute to continuous improvement of credit decision models.

Information about the team

Who are we?

• A fast growing international team of experts developing non-regulatory credit risk models. As part of the Risk Hub Model Development Area, we focus on applying machine learning techniques to ensure credit-risk decision making is safe and reasonable and to support business growth.

What is our mission?

• Develop and monitor advanced analytics non-regulatory models used by ING.
• Provide relevant and timely expertise in credit risk models to colleagues around the world and support lending business.
• Ensure sustainable credit risk model performance and bring fresh ideas to life in a fast-changing environment.

How can you grow with us?

• Gain visibility across global ING business lines and locations and opportunities to grow expertise and share knowledge.
• Broaden programming skills in Python or other statistical tools/stack for developing machine learning solutions.
• Expand hands-on skills in developing credit risk decision models (acceptance models, behavioral models, EWS, etc.) for individual and business clients.
• Deep dive into models during periodical monitoring and learn best practices for ensuring model compliance with regulations and internal policies.
• Develop collaborative skills working with model validators, risk managers, and business stakeholders.
• Stay up-to-date with industry trends and regulatory guidelines related to machine learning and advanced analytics models.

How do we work?

• We combine technical and business expertise to ensure models are appropriate for intended use, compliant with internal policies and external regulations, and their applications are well understood by the organization.
• We run projects end-to-end, taking care of final products meeting objectives of stakeholders, from initiation to finalization.
• We look for enthusiasm, open-mindedness and a pro-active team player attitude.

The role naming convention in the global ING job architecture will be “Model Developer III”.

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.