Level

ING

Credit Decision Models Developer

AI in this role

Develop and monitor machine learning-based credit decision and risk models within a global banking environment.

pythonsasgit

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.


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.

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.

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.

Information about the Team:

At ING Hubs Poland and ING group we follow the Agile approach and mindset. We use flexible frameworks like Scrum and Kanban at our everyday work. We are innovative and we trust people we work with. The broad autonomy our employees have, stimulates motivation and creativity what allows us to adapt to the changing requirements of business partners. Small units called squads are the core of our organization. They have clear vision of products, overcome challenges autonomously and based on team cooperation, work out the most flexible and effective way of working. You will work in the Credit Risk Modelling team, whose mission is to understand, implement, maintain and develop operational credit scoring models / credit decision models. You will also report and monitor them. As Credit Risk Modeller, you develop statistical models as a basis on which to evaluate the various credit risk parameters at the bank. You will work in a dynamic environment at the forefront of new developments in the field of credit risk management.

 

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

How we rate this

Credit Decision Models Developer at ING rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

PythonSasGit

Questions you could be asked

  1. What's a project where you used Python hands-on?
  2. Walk me through how you've used Sas in your day-to-day work.
  3. What are the limits of Git that you've run into, and how did you work around them?
  4. How would you decide a model or AI system is ready to ship?
  5. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: Python, Sas, and Git. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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