WB Model Data Senior Analyst

As a Wholesale Banking Model Senior Data Analyst you will be responsible for data and portfolio related topics in one of the squads in Wholesale Banking Model Data Team. The Risk Data Tribe is responsible for E2E data solutions for various IRB and IFRS9 projects, covering entire model life cycle needs. Being the main point of contact for data delivery projects for Wholesale Banking portfolios will allow you to deep dive into portfolio and model specifics across different Rating Systems in Wholesale Banking domain. You will closely cooperate with model owners and model development teams on various regulatory projects in credit risk area.

You will gain knowledge about data we collect in ING Group, analyze it and prepare prototypes of new data structures that will be used further in the process. We have expertise about Rating Systems, Wholesale Banking portfolios and stakeholder needs on different model lifecycle phase. As a Wholesale Banking Model Data Analyst you will have crucial role to play in delivering high quality data to other participants of risk processes (i.e. credit risk modelers, validators and many others).

Roles and responsibilities ​

• data analysis and data delivery for Wholesale Banking portfolios,

• data processing, data quality assessment, and all other tasks related to data,

• writing efficient SAS macros programs,

• finding discrepancies in the data and proposing solutions to the problems by conducting various analyses in 4GL/SQL,

• conducting Data Quality Tests,

• gathering requirements regarding modelling datasets from our stakeholders,

• creating documentation related to the data (Data Plans and other data documentation required for Model Life Cycle),

• checking with Model Owners/Model Developers/Validators whether all the assumptions in the created datasets are in line with their expectations,

• providing all relevant stakeholders with data intelligence insights,

• owning end-to-end expertise on data flow architecture and alignment between production and historical data,

• coaching junior colleagues and review their work.

How to succeed

We are looking for you, if you:

• have capabilities to support Wholesale Banking Model Data Team with insight about data and credit risk methodologies,

• would like to work with other Data Analysts from all over the world on understanding the data, IRB/IFRS9 models and portfolio specifics,

• can take ownership in defining, challenging, and improving the data process flow for Model Development, Model Monitoring, and Model Validation, ensuring it is robust, efficient, and aligned with stakeholder and regulatory expectations,

• have experience in gathering and analyzing data requirements and, based on them, preparing the data,

• have min. 10 years of experience working in the area in data analytics or data science,

• have min. 10 years hands-on experience working with SQL and/or SAS (preferably SAS Enterprise Guide),

• are able to define problems, analyze key information and make connections, in order to find appropriate solutions,

• have a critical mindset that questions why we are doing what we are doing and whether we are doing it in the best way possible,

• can communicate clearly to non-technical stakeholders,

• can drive an end-to-end analysis of an unknown problem and propose solutions,

• have experience working in a bank, financial institution or other institution regulated by the government,

• have knowledge about credit risk models (PD, LGD, EAD, IFRS9, IRB),

• have worked in Agile environment, and you know how to make it a real part of your job,

• have experience with GIT or other version control systems.

Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.

The benefits of working with us at ING include:

• 25-28 vacation days depending on contract

• Pension scheme

• 13th month salary

• 8% Holiday payment

• Hybrid working

• Personal growth and challenging work with endless possibilities

• An informal working environment with innovative colleagues

About us
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