INGData Analyst in Risk Reporting
ING is hiring a Data Analyst in Risk Reporting. Level rates it ; you can apply on ING.
Level's read on this job
- Little AI ●○○○ is how Level rates this data analyst role: aI is not part of the work.
- The posting mentions SQL, SAS and Python among its tools and skills.
- Level classes it as a mid-level role.
- ING has 712 other open roles on Level.
- Posted in the last few days.
AI in this role
Analyze and validate mortgage and credit risk data, perform reconciliation, and test data completeness for risk reporting.
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:
- Master’s degree in Mathematics, Econometrics, Computer Science, Information Management, Statistics, Finance or alike, and/or equivalent experience of 2-5 years within data analysis or reporting,
- experience in data analysis, data validation and data quality,
- hands-on working experience with SQL and working with large datasets,
- basic knowledge of mortgage products and the mortgage lending process,
- strong analytical and problem-solving skills with attention to detail,
- good knowledge of English (C1 preferred),
- great communication skills, both verbal and written.
You'll get extra points for:
- experience with Credit Risk or Risk Reporting,
- experience with data reconciliation, testing or data migration,
- experience working with mortgage or other lending data,
- hands-on experience with SAS 4GL/Python,
- experience with Data Warehouse environments and data flows.
Your responsibilities:
- analyse and validate mortgage and Credit Risk data,
- perform data reconciliation between different data sources and identify discrepancies,
- test the completeness, accuracy and consistency of data used for Credit Risk reporting,
- investigate data quality issues and support their resolution,
- analyse data from both a technical and business perspective to understand and explain identified differences,
- prepare and execute data testing and validation activities,
- document test results, identified issues and conclusions, and provide evidence of data correctness,
- collaborate with business and technical stakeholders involved in data and reporting processes.
Information about the team:
We are looking for a Data Analyst to join a Credit Risk Reporting squad supporting a large-scale transformation within the mortgage domain. The team is responsible for ensuring that data delivered through the new data environment is complete, accurate and consistent with existing reporting and Credit Risk requirements. Our work focuses on data analysis, testing and reconciliation, investigating differences and data quality issues, and documenting and evidencing the correctness of data. The role combines hands-on data analysis with an understanding of mortgage products and the business meaning behind the data. We work closely with both business and technical stakeholders in an international environment and use English on a daily basis.
The role naming convention in the global ING job architecture will be “Data Management Expert III”.
How we rate this
Data Analyst in Risk Reporting 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $111k
Use the typical data analyst figure as a reference when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where risk reporting was part of your work. What did you do?
- Tell me about a project where data validation was part of your work. What did you do?
- Tell me about a project where data reconciliation was part of your work. What did you do?
- Tell me about a project where credit risk was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Analysis, Risk Reporting, Data Validation, Data Reconciliation, and Credit Risk. 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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