Senior Data Analyst Credit Risk

AME (Amsterdam - Maple)

Apply now Apply later

For one of the key strategic projects (‘MORSE’) in the domain of Residential Mortgages, we are looking for a Senior Data Analyst with experience in the Credit Risk domain. To support this business initiative, a separate team is being set-up to assess the impact on the various credit risk processes and systems to ensure continuity from a modeling and reporting perspective. This team is set-up in a multi-disciplinary way with capacity from modeling, credit risk reporting, and data management.

You will also become part of the Center of Expertise Risk Analytics chapter in Tribe CRM, which focuses on providing and developing knowledge and expertise in the areas of credit risk and data analytics.

Role & Responsibilties

  • Analyze data, design and build physical models at the various stages of the data pipeline: ingestion of data sources, mapping in data warehouse and creating data marts for consumption
  • Maintain applications in our Data Lake, managing data using Oracle Exadata as main database, while adhering to set performance standards
  • Estimating the impact of changes in the data environment on Risk calculations (capital, provisions)
  • Evidencing to the internal and external stakeholders that the data is compliant with ING standards (Data Management Process Control Standards)

How to succeed

You have experience in working with large databases within the financial services industry (preferably credit risk related), either in the Netherlands or Internationally, and have a thorough understanding of:

  • Datawarehouse concepts and data modelling techniques in the context of a complex data landscape
  • BI tooling (SAS, SQL Developer) at an advanced level, a.o. writing macro scripts to extract data directly from Oracle and perform fully automated reconciliations between datasets
  • Translating business requirements and observed defects into clear user stories for the developers
  • Importance of script hygiene for readable and understandable code and clear documentation
  • You are experienced in how to optimize scripts in order to reduce processing time and data storage
  • Knowledge of Credit Risk concepts (e.g. Risk Weighted Assets, Expected Loss, Definition of Default) is a plus.

In addition (required):

  • You have an enthusiastic personality, and enjoy working in a diverse environment
  • You foster and good collaboration and communication in the team
  • You can write and speak in English fluently
  • You have project management experience, preferably in an Agile setting
  • You are stress resilient, able to prioritize, and manage effectively
  • You constantly develop yourself professionally and are passionate about Credit Risk related topics

Rewards & benefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at https://www.ing.jobs/netherlands/Why-ING/benefits.htm.

The benefits of working with us at ING include:

  • A salary tailored to your qualities and experience 
  • 24-27 vacation days depending on contract
  • Pension scheme
  • 13th month salary
  • Individual Savings Contribution (BIS), 3.5% of your gross annual salary
  • 8% Holiday payment
  • Hybrid working to blend home working for focus and office working for collaboration and co-creation
  • Personal growth and challenging work with endless possibilities
  • An informal working environment with innovative colleagues

About us

With around 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to make a difference. We hire smart people like you for your potential, not your past. Our biggest expectation is that you’ll stay curious. Keep learning. Take on more responsibility. In return, we’ll back you to develop into an even more awesome version of yourself. If you want to work at the cutting edge of what’s possible, surrounded by progressive, inspiring and supportive colleagues, there is no better place to invest your talents than at ING. Join us. Apply today.

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  7  3  0
Category: Analyst Jobs

Tags: Agile Credit risk Data Analytics Data management Data warehouse Oracle SAS SQL

Perks/benefits: Career development Home office stipend

Region: Europe
Country: Netherlands

More jobs like this