Credit Risk Model Monitoring Expert Lead

ING is hiring a Credit Risk Model Monitoring Expert Lead. Level rates it ; you can apply on ING.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Tools and skills the posting cites include Python, R and SQL.
Level classifies it as a lead role.
Level lists 689 other open roles at ING.
The role was posted in the last few days.

AI in this role

Lead credit risk model lifecycle management and monitoring strategies for IRB and IFRS9 frameworks.

pythonrsql

ING Hubs Poland is hiring!

The expected salary for this position: 17 300 - 28 000 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:

Hold an MSc in mathematics, econometrics, statistics or a related quantitative discipline,

Have solid knowledge of statistical inference, econometric methods and statistical programming,

Understand IFRS9/IRB implementation in model development,

Have at least 7 years of experience in developing and monitoring IRB/IFRS9 models,

Have at least 2 years of experience in a leadership or expert role,

Communicate clearly and concisely,

Identify problems, analyse key information and make connections to develop appropriate structural solutions,

Deliver high-quality work efficiently and on time, with a focus on meeting targets and KPIs.

English level - C1.

You'll get extra points for:

Experience in being a sparring partner/advisor to Senior Management,

Familiarity with best practices in coding / software development (release management, version control, testing, issue tracking),

Professional certification FRM/PRM/CFA or CQF.

Your responsibilities:

Contribute to shaping the IRB/IFRS9 model life cycle management strategy in close collaboration across the Integrated Risk Oversight area,

Oversee and review IRB/IFRS9 model monitoring,

Support the development of monitoring internal tools (working with the development team on UAT, bug fixes and ongoing maintenance),

Contribute to the development of the new Early Warning Signals platform for model backtesting,

Collaborate with the internal Model Validation Unit,

Contribute to IFRS9/IRB modelling and monitoring methodology development,

Translating methodology into functional specifications for monitoring tools used across ING Group.

Information about the team:

The Model Strategy and Monitoring team is located in Warsaw and Amsterdam and is a part of the Integrated Risk Oversight area. The team is responsible for model lifecycle management frameworks for IRB and IFRS9 models for the whole ING Group.

The role naming convention in the global ING job architecture will be "Financial Risk Specialist V”.

How we rate this

Credit Risk Model Monitoring Expert Lead at ING rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

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

Key facts

Credit Risk Model Monitoring Expert Lead is an open job at ING.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Warszawa (Pańska 97).
The job was posted on October 30, 2026.
Seniority: lead.
Applications are handled by ING. Apply on ING

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PythonRSQL

Questions you could be asked

What's a project where you used Python hands-on?
Walk me through how you've used R in your day-to-day work.
What are the limits of SQL that you've run into, and how did you work around them?

Adapt your resume

List these exact terms on your resume: Python, R, and SQL. 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.

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