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ING

Senior Credit Risk Reporting Analyst – Private Individuals

ING is hiring a Senior Credit Risk Reporting Analyst – Private Individuals. Level rates it ; you can apply on ING.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Power BI, SQL and Dax.
  • Level classifies it as a senior role.
  • Level lists 707 other open roles at ING.
  • The role was posted within the past week.

AI in this role

Develop and maintain credit risk reporting solutions and Power BI dashboards for private individual portfolios.

power-bisqldaxpower-query
data-modellingcredit-riskdata-analyticsreporting

ING Hubs Poland is hiring!


The expected salary for this position: 9 600– 18 000 PLN


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:

 

  • A Bachelor's or Master's degree in a relevant field.
  • Relevant experience in Credit Risk, risk reporting or data analytics.
  • Good understanding of Credit Risk principles and concepts.
  • Hands-on experience with Power BI, including data modelling and DAX.
  • Good knowledge of SQL.
  • Strong analytical and problem-solving skills.
  • The ability to translate data into clear insights and reporting solutions.
  • A strong interest in further developing your Credit Risk expertise.
  • Professional proficiency in English.

You'll get extra points for:

 

  • Experience with mortgage, consumer finance or other retail portfolios.
  • Good knowledge of CRR III and IFRS9 concepts.
  • Experience with Power Query or other data transformation tools.
  • Experience within banking or financial services.

Your responsibilities:

 

  • Develop and maintain Power BI dashboards and reporting solutions for Private Individuals Credit Risk.
  • Work closely with Credit Risk stakeholders to understand and translate their reporting needs.
  • Work with key Credit Risk concepts and metrics, including IRB PD, LGD, EAD and IFRS 9.
  • Use SQL to retrieve, analyse and prepare data.
  • Ensure the quality, accuracy and consistency of reported information.
  • Contribute to the automation, standardisation and continuous improvement of reporting.

 

Information about the squad:

We are looking for a Credit Risk Reporting Analyst to join the Private Individual Reporting Squad within CoE Reporting and RiskHub Poland. The squad is responsible for Credit Risk Reporting across the Private Individuals portfolio, including mortgage lending, consumer finance and private banking. We combine Credit Risk knowledge with data analysis and hands-on Power BI development. Our work focuses on analysing portfolio developments, understanding the story behind the data and translating reporting needs into clear and effective dashboards. We work in an international environment and offer the opportunity to further develop both Credit Risk expertise and technical reporting skills.

 

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

How we rate this

Senior Credit Risk Reporting Analyst – Private Individuals at ING rates 10 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.

  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. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ModellingCredit RiskData AnalyticsReportingPower BISQLDaxPower Query

Questions you could be asked

  1. Tell me about a project where data modelling was part of your work. What did you do?
  2. Tell me about a project where credit risk was part of your work. What did you do?
  3. Tell me about a project where data analytics was part of your work. What did you do?
  4. Tell me about a project where reporting was part of your work. What did you do?
  5. Walk me through how you've used Power BI in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Modelling, Credit Risk, Data Analytics, Reporting, and Power BI. 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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