Machine Learning Credit Model Developer

Details

ING Hubs Poland is hiring!

The expected salary for this position: 9600-22000 PLN gross. The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

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, in particular related to advanced analytics models to contribute to the continuous improvement of credit decision models.

Requirements

• An advanced degree (PhD or Masters) in a quantitative discipline such as 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, 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 like credit decision scorecards, early warning systems (EWS), collection systems, IRB, IFRS9 etc.
• English verbal and written proficiency.

Preferred / Nice to have

• 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).

Team & Context

• The team is an international, fast-growing team of experts developing non-regulatory credit risk models as part of a Risk Hub Model Development Area.
• The team applies machine learning techniques to ensure credit-risk decision making is safe and reasonable and provides support for business growth.
• The role naming convention in the global ING job architecture will be “Model Developer III”.

How you can grow

• Gain visibility across global ING business lines and locations and opportunities to share knowledge internally and externally.
• 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 of credit risk decision models performance.
• Learn best practices for ensuring model compliance with regulations, internal policies and industry best practices.
• Develop collaborative skills working with model validators, risk managers, and business stakeholders, and stay up-to-date with industry trends and regulatory guidelines related to machine learning and advanced analytics models.